Markets

Insider Trading

Hedge Funds

Retirement

Opinion

D-Wave Quantum Inc. (NYSE:QBTS) Q1 2023 Earnings Call Transcript

D-Wave Quantum Inc. (NYSE:QBTS) Q1 2023 Earnings Call Transcript May 19, 2023

D-Wave Quantum Inc. misses on earnings expectations. Reported EPS is $-0.16 EPS, expectations were $-0.13.

Operator: Hello and welcome to the D-Wave Q1 2023 Earnings Call and Webcast. [Operator Instructions] A question-and-answer session will follow the formal presentation. [Operator Instructions] As a reminder, this conference is being recorded. It’s now my pleasure to turn the call over to Kevin Hunt, Investor Relations. Please go ahead.

Kevin Hunt: Thank you, and good morning. With me today are Alan Baratz, our Chief Executive Officer; and John Markovich, our Chief Financial Officer. Before we begin, I’d like to remind everyone that this call may contain forward-looking statements and should be considered in conjunction with cautionary statements contained in our earnings release, and the company’s most recent periodic SEC report. During today’s call, management will provide certain information that will constitute non-GAAP financial measures under SEC rules; such as non-GAAP operating expenses and adjusted EBITDA. Reconciliations to GAAP measures and certain additional information are also included in today’s earnings release, which is available in the Investor Relations section of our company website at www.dwavesys.com. I’ll now hand over the call to Alan.

Alan Baratz: Thanks, Kevin, and good morning, everyone. Well, it feels like we were just here talking about Q4 and FY ‘23. But it really is a pleasure to connect again so quickly and keep you apprised of D-Wave’s business momentum. As a reminder to those investors following D-Wave and the overall quantum computing category, we are in a unique market position as the only company in the world offering quantum annealing technology. And unlike other types of quantum computing modalities, quantum annealing is in the market with commercial customers today. That gives us a first mover advantage in accelerating the commercial adoption of quantum, while others in the industry focus on research and development. Quantum annealing is a valuable technology for solving complex optimization problems and awareness of its value to the enterprise is quickly growing.

In fact, earlier this month, global information technology market intelligence firm IDC recognized quantum annealing as a core quantum computing system in its annual taxonomy report on the sector. Companies are increasingly turning to the technology to find solutions to their most computationally complex optimization problems. These are problems that are fundamental to nearly every business and industry, things like employee scheduling, factory process automation, fraud detection, advertising optimization and many more. The fact is that quantum computing is here today and already emerging as a key strategy for solving the seemingly unsolvable by finding new and better ways to build businesses, navigate disruption and accelerate transformation.

Customer interest in D-Wave continues to grow and our commercial customer portfolio remains robust. We’ve seen a steady increase in the growth of revenue producing commercial customers. Over the last four quarters, revenue derived from our commercial customers has increased by 30%, when compared to the immediately preceding four quarters. This quarter, we welcomed a number of new customers and saw expanded or renewed agreements with others, including a large non-U.S. Government agency, as well as the Interpublic Group, Unisys, POLARISqb and the Quantum Algorithms Institute. While revenue was down from the year earlier quarters, due to revenue recognition technicalities related to professional services engagements, we are pleased with our sales momentum.

First quarter bookings of $2.9 million, were up by 297%, compared to the first quarter of 2022. Q1 also represented our fifth consecutive quarter of sequential quarter-to-quarter bookings growth and the fourth consecutive quarter of year-over-year bookings growth. In addition, the average deal size for QCaaS and Professional Services combined bookings increased 430 percent on a year-over-year basis and by 68% on a sequential Q4 to Q1 basis. With the average deal size increasing sequentially for each of the last five quarters. This means we’re seeing an uptick in both the number and the size of customer deals. And we believe that this point to accelerating adoption of our solutions and momentum in our revenue growth. In addition, we continue to execute on initiatives that support D-Wave’s commercial and production readiness.

We recently completed the SOC 2 Type 1 audit, which is an important effort that helps ensure the protection of customer data. This will help streamline and speed up procurement for companies that require data compliance. Turning now to technical achievements, this quarter, we achieved a very significant scientific milestone on coherent quantum annealing, which led to us publishing the results in nature one of the most preeminent peer-reviewed scientific journals. Our research proved that the D-Wave advantage system’s use of quantum delivers a speed up over classical for an important class of complex problems. The observed speed up matches the theory of coherent quantum annealing and shows a direct connection between coherence and the core computational power of quantum annealing.

To put it in Layman’s terms, our research unequivocally shows two things: First, our system uses quantum mechanics to solve complex problems; and second, our system shows that quantum annealing can identify solutions to hard problems at a significantly faster rate than classical compute. This marks a milestone for the quantum industry, proving our technology’s superior performance and utility for large scale optimization problems. While our competitors may not be quick to celebrate the significance of this achievement for obvious reasons, the research is a breakthrough on multiple fronts and has important implications to optimization. Moreover, these benefits will increase with our future generation systems, including Advantage 2, where we are already seeing a 4 times increase in coherence on an early experimental version of the system developed with our new fabrication process.

I also want to remind everyone that in the first quarter, we introduced a new initiative designed to bring the power of quantum to artificial intelligence and machine learning through new feature selection offerings. As enterprise AI adoption intensifies, it’s important for companies to understand the practical ways that AI and quantum can come together today to fuel innovation. By using quantum hybrid approaches, we’re helping to optimize AI and machine learning models and address feature selection, a key problem in machine learning and classical computing has struggled to solve. A number of our customers have already used our feature selection tool with positive early results in areas like fraud detection and TV commercial advertising optimization.

And finally, we’re continuing to develop and work on Advantage 2, our next generation annealing quantum system, which is expecting to feature 7,000 plus qubits 20-way connectivity and as I previously mentioned, higher coherence. We also remain on track with our gate model program and continue benchmarking 1 and 2 qubit Oxonium qubit circuits while working on fabrication of larger systems. With that, I’ll turn it over to John to provide a review of our first quarter 2023 results. John?

John Markovich: Thank you, Alan, and thank you to everybody taking time to participate in our call today. Revenue in the first quarter of fiscal 2023 was $1.6 million, a decrease of $129,000 or 7.5% for the first quarter of 2022. Given the nature of our professional services engagements, the timing of our professional services revenue recognition may vary causing some revenue lumpiness on a quarter-to-quarter basis. With respect to D-Wave’s revenue recognition in general, the revenue recognition associated with the QCaaS component of our revenue is quite straightforward and predictable given that QCaaS revenues typically recognize ratably over the term of the underlying contract. However, revenue recognition associated with our professional services contracts is more complex given that there are a number of variables involved, including many engagements with multiple phases, specific starts, updates for each phase and specifically defined deliverables.

However, we are generally paid in advance of the completion of the professional services and the corresponding revenue recognition timeframe. With respect to the first quarter revenue mix, QCaaS or our quantum computing as a service subscription based revenue total $1.2 million in the quarter representing 74% of total quarterly revenue. This compares to the year earlier QCaaS revenue of $1.4 million that represented 81% of total quarterly revenue. I will be providing bookings, non-GAAP, gross profit, gross margins, operating expenses, and adjusted EBITDA as we believe these metrics improve investor’s ability to evaluate our underlying operating performance. These measures are defined in the tables at the bottom of today’s first quarter earnings press release and for the most part, adjust for non-cash and non-recurring expenses.

Due to the timing associated with our professional services revenue, we believe that our bookings performance may at times be a better indicator of our business momentum than quarterly revenue. We define bookings as orders received from our customers that are expected to generate revenue in the future. We present the operational metric of bookings because it reflects customers demand for our products and services and to assist investors in analyzing our performance in future periods. As Alan previously highlighted, bookings for the first quarter were $2.9 million, an increase of $2.2 million or 297%, compared to the first quarter of fiscal 2022. And the first quarter bookings represent our fifth consecutive quarter sequential quarter-to-quarter growth in bookings in the fourth consecutive quarter of year-over-year growth in bookings.

Over the last four quarters, we had 65 revenue producing commercial customers, compared to 63 commercial customers in the immediately preceding four quarters with commercial revenue increasing by 30% between those two periods. Over the last four quarters, we had a total of 109 revenue producing customers, compared to 106 total customers in the immediately preceding four quarters with total customers including commercial, educational and government accounts. With respect to our GAAP gross profit for the first quarter, a total of $421,000, a decrease of $676,000 or 62% from the first quarter of fiscal 2022 that totaled $1.1 million with the decrease being principally due to the lower revenue and a significantly higher non-cash stock-based compensation expense in the first quarter of fiscal 2023 cost of sales.

Our non-GAAP gross profit for the first quarter was $852,000, a decrease of $317,000 or 27.1% for the first quarter of fiscal 2022 non-GAAP gross profit of $1.2 million. The difference between GAAP and non-GAAP gross profit is limited to non-cash stock-based compensation and depreciation expenses that are excluded from the non-GAAP gross profit. With respect to gross margins, our GAAP gross margin in the first quarter of fiscal ’23 was 26.6%, a decrease of 37.4% from the 64% GAAP gross margin for the first quarter of fiscal 2022 with a decrease due primarily to lower revenue and significantly higher non-cash stock-based compensation expense in the first quarter of fiscal 2023 cost of sales. With respect to the non-GAAP gross margin, it was 53.8%, a decrease of 14.4% from the year earlier gross margin or non-GAAP gross margin of 68.2%.

Again, the difference between the GAAP and the non-GAAP gross margin is limited, the non-cash stock-based compensation and depreciation expenses that are excluded from the non-GAAP measures. With respect to our operating expenses, the GAAP operating expenses in the first quarter were $25.1 million, compared with $12 million in the year earlier period with the increase including $5.6 million in non-cash stock-based compensation expense, along with higher public company and headcount related expenses. The non-GAAP operating expenses for the first quarter of fiscal 2023 were $17.8 million, compared with $10.9 million in the fiscal 2022 first quarter with difference being the non-cash stock-based compensation expense and depreciation. Net loss for the first quarter was $24.6 million or $0.20 per share, compared with a net loss of $11.7 million or $0.09 per share in the first quarter of fiscal 2022.

The adjusted EBITDA for the first quarter of fiscal 2023 was a negative $16.9 million, compared with a negative $9.8 million in the fiscal 2022 first quarter with the increase due primarily to higher public company and headcount related expenses. Now I’ll move on to balance sheet and liquidity. D-Wave ended the quarter with $9 million in cash, up from $7 million at the end of the year. As previously disclosed, we entered into a common stock purchase agreement also known as the ELOC with Lincoln Park Capital in June of 2022, wherein the company has the right, but not the obligation to issue and sell up to $150 million of shares of its common stock to Lincoln Park. This agreement is subject to certain limitations and satisfaction of certain conditions over a three-year period.

To-date, D-Wave’s has raised approximately $20 million under the ELOC, including $15.7 million during the first quarter of 2023. D-Wave’s ability to raise additional funds under the ELOC is subject to registration of additional shares and our stock price being above $1 per share. Also as previously disclosed, on April 13 D-Wave entered into a $50 million four-year secured term loan agreement with PSPIB Unitas Investments, an affiliate of PSP Investments. The initial advance under the term loan was $15 million, which was received on April 14 and there are second and third advances of $15 million and $20 million respectively subject to certain terms and conditions. I will now reiterate our financial guidance for fiscal 2023. Our guidance is based on current market conditions and expectations and is subject to various important cautionary factors as set forth in our first quarter earnings press release issued earlier today and in our SEC filings.

Based on information available as of May 18, 2023, guidance for the full fiscal year of 2023 is revenues, which is expected to be in the range of $12 million to $13 million representing year-over-year growth of 67% to 80% and revenue is expected to increase sequentially in the second quarter from the first quarter. So we’re essentially reaffirming the guidance that we provided with our fourth quarter earnings. With respect to the adjusted EBITDA, this also is maintained at the same level that we previously guided, which is a negative $62 million on the year. As we have previously outlined, we believe that D-Wave’s business model incorporates a high degree of operating leverage. It is very capital efficient providing us with significant flexibility with respect to the magnitude, timing, and pace of operating expenses and the associated cash impact.

Lastly, I would like to add that we believe that D-Wave has the opportunity to be the first independent publicly held quantum computing company to achieve sustained profitability and to achieve this milestone with substantially less funding than required by any other independent publicly held quantum computing company. With that, I will hand the meeting back over to Alan for a wrap up.

Alan Baratz: Actually, I think we’re going to hand it over to questions.

Q&A Session

Follow D-Wave Quantum Inc.

Operator: Thank you. We’ll now be conducting a question-and-answer session. [Operator Instructions] Our first question is coming from David Williams from Benchmark Company. Your line is now live.

David Williams: Hey, good morning and thanks for letting me ask a couple of questions here. I guess first, so you haven’t previously given the bookings number, really talked much about that, but it’s very helpful and appreciate the clarity around the demand trends. I guess on the revenue recognition side and understanding the lumpiness of the pro services revenue, what are the drivers there? And as we kind of think about that trending through the year. Are there any things I guess that have changed in that pro services that have you changed the way that you’re recognizing the revenue or changed the milestones? Is there anything that’s, kind of, different that we should be thinking about?

Alan Baratz: John, do you want to take that?

John Markovich: Sure. So the essence of each agreement, David, the nature of the milestones can be a little bit different. But it’s not been — there’s not been any fundamental changes from what we’ve experienced historically in terms of how these agreements are structured. The issue is that there’s a lot of complexity associated with optimizing a lot of variables and in some cases, we’re — that timeline is dependent upon feedback and our work with the client and sometimes that can get delayed in the process.

Alan Baratz: And David, maybe I’ll just add one other thing. And that is previously we had, kind of, had a clean separation between QCaaS agreements and professional services agreements. And the QCaaS agreements are quite straightforward as John said when it comes to revenue recognition, it’s just ratably over the duration of the QCaaS agreement, whereas revenue recognition on the professional services agreements tend to be more lumpy, due to all the various factors associated with the agreement, the nature of the work to be done, start dates, stop dates, deliverables and so on. However, more recently, customers have been interested in combined agreements where it is both QCaaS and some professional services. Now this is really good for us, because we move — we help customers move much faster when they’re working with our professional services organization than when they’re trying to do development themselves.

So we’re actually encouraged by this and feel like it’s a good direction for the company to be moving in. But as we start putting those different elements into a single agreement, it starts impacting the way the revenue recognition across higher agreement is done. And so that’s, sort of, another element that has started to impact exactly how we do revenue recognition.

David Williams: Okay. Fantastic. I appreciate the color there. And then I want to ask too on the generative AI and things we talked about with the machine learning and artificial intelligence. But it seems like the hallucinations within the AI’s have been really a big issue. And it seems like quantum is an area that could really especially on the mid-optimization side, it really fix a lot of those issues that we’re seeing particularly in the hallucinations. Can you talk about what you’re seeing in terms of, of that demand trends from customers in developing and working towards an AI or ML solution?

Alan Baratz: Okay. So let me, kind of, separate that into two different questions. One is can the work that we are doing in the AI machine learning space help to mitigate hallucination? And while I can’t give you definitive proof that the answer to this is yes. I can tell you that what we do in the area of feature selection is to help identify the elements of the data that are most representative of what you’re trying to model of what you’re trying to learn and filter out the, if you like, superfluous data. Condensing the dataset in that way makes it much easier and faster to train the model and also gives you higher accuracy relative to what it is that you’re actually trying to learn. And so you would think that by removing some of the superfluous data, you might help to mitigate hallucination or some of the hallucinations.

But this is just a perspective, not a kind of specific proof or evidence, that’s possible. Second, you were, kind of, interested in understanding how that AI work is progressing. And what I will tell you is that we worked on this problem initially with one customer in the financial services arena, and then following that, we had two more customers that were interested in the same solution. Another one in financial services and one actually in drug development. And so that caused us to define a feature selection offering, which currently is a professional services offering. So you can either buy a generic proof-of-concept where we’ll help you to actually develop a proof-of-concept and application of interest to you or if you’re specifically interested in feature selection you can buy a services engagement where we will help you specifically with feature selection.

And we have a lot of interest in that particular professional services offering. So much, so that we are actually exploring making that a software-as-a-service on our lead cloud service. But I caution you, we’re exploring the possibility of doing that. I have nothing specific to report on that.

David Williams: Color. Okay, that’s excellent color. Thank you. And maybe lastly just John, can you talk maybe a little about the milestones or the hurdles for the second tranche in the term loan?

John Markovich: Yes, we’d be happy to, David. So there are three principal deliverables: One is, and by the way, this is all set forth in the agreement that has been filed, we’ve got to provide the Board with an updated multiyear financial plan. We have to reviewed the findings of our financial advisor and we’ve had to complete an independent intellectual property valuation of our IP portfolio.

David Williams: Okay, great. And do you feel like all of those things are achievable or are in place to get to that 15 — to get to that hurdle?

John Markovich: Yes, we do.

David Williams: Thanks so much.

Operator: Thank you. [Operator Instructions] Our next question is coming from Harsh Kumar from Piper Sandler. Your line is now live.

Harsh Kumar: Yes. Hey, guys. I had a quick question, I noticed that the deal size is up very, very nicely sequentially and then year-over-year even very impressively, I’m just curious if you could tell us what your customers are saying. Obviously, they’re putting dollars down and they like what they’re seeing. So generally, I was curious about the color that Alan, you might be picking up as you talk to the customers and where can this number go to as you look out?

Alan Baratz: So relative to where the number can go to as we look to the future, it’s hard for me to predict how large the average deal size could become. But a comment that I made previously does provide some, kind of, insight into why the deal size is growing. And that is as I said, as customers are increasingly recognizing that not only can annealing quantum computing help them to solve their hard computational problems, it’s best to work with us to understand how to use the system to solve those problems. And so we’re starting to see deals that are not just QCaaS, not just a proof-of-concept, but rather a deal that incorporates QCaaS plus maybe even multiple proofs-of-concepts to try to move more aggressively down the path of understanding more broadly how annealing quantum computing can help them improve their businesses.

Harsh Kumar: And I have one for John and I’ll get back in line. The falloff in revenues I think you mentioned was accounting shenanigans associated with the recognition of revenue with professional services. I just want to like ask you again, was that all there was or did you actually see like dollars and revenues peel off in any manner that is fundamental?

John Markovich: Well, first, Harsh, I wouldn’t characterize this as a shenanigan. So there’s a very, very complex set of rev rec rules that you may be familiar with called ASC 606. And as we outlined previously, the composition of some of our professional services agreements have a fair number of moving pieces to them. So I think the bookings is best indicative of where we’re headed here, because we have increased the bookings in professional services pretty significantly particularly on a year-over-year basis. So from our perspective, this is principally a timing issue with respect to when we will recognize the PS or professional services portion of those bookings.

Harsh Kumar: Understood. Thank you so much.

Operator: Thank you. Next question today is coming from Richard Shannon from Craig-Hallum. Your line is now live.

Richard Shannon: Hi guys. Thanks for taking my questions as well. I might follow quickly on the deal size question from earlier here. I just want to get a sense of whether the timeframe or length of the contracts are still the same here. So deal size per time period is increasing or is there a lengthening of the deal size period as well?

Alan Baratz: Yes. Oh, sorry, go ahead, John.

John Markovich: Yes. Richard, we are seeing a increase, a gradual increase in the average term of our deals on a sequential basis as well.

Richard Shannon: Okay. Helpful to hear. Thank you for that. Maybe, kind of, a two-part question here on the guidance for the year both on sales and getting down to the EBIT line here. So I guess my question here on the sales element here is thinking about the linearity. You just talked about sequential growth into the second quarter. If you could characterize what that level of growth is versus — is it something that’s accelerating greatly into the back half of the year? And then obviously looking at the gross margin here that’s a little bit low and understanding the dynamics within rev rec here on the services elements here, how do we think about the gross margins throughout the year that helped us get to that EBITDA guidance that you’ve reiterated for the year as well? Thank you.

John Markovich: Sure. So with respect to the revenue growth as we outlined earlier, we haven’t changed the guidance on the year. We entered the year with some pretty decent backlog, our level of renewal rates have exceeded 90% plus with the influx of the bookings in Q1. That all gives us confidence in achieving those numbers. I will also add, like we mentioned this in the last call that on a year-over-year basis, we’ve seen a pretty dramatic shift in the magnitude inbound inquiries for our services. And we’ve also expanded the size and qualifications of our sales organization. So given all that, that gives us a lot of confidence with respect to achieving these numbers on the year. And you can expect from where we started the year, obviously there’s going to be a fairly significant increase on a quarter-to-quarter basis to exit the year with those numbers.

The gross margin is going to be — the expansion of the gross margin is going to be a function of the top line revenue, as well as the mix as we’ve outlined earlier QCaaS carries a higher margin to the professional services. But with the general trend being towards a higher component of QCaaS we expect that will have a positive impact on the gross margins.

Richard Shannon: Okay. Perfect, guys. Thank you very much. I’ll jump on the line.

Operator: Thank you. Next question is coming from Kevin Garrigan from WestPark Capital. Your line is now live.

Kevin Garrigan: Yes, good morning, guys. Thanks for taking my question. Hey, are you guys seeing any companies that you initially started talking to that are still waiting on their sidelines, because of either a tough macro environment or quantum is on their priority list?

Alan Baratz: So I think, what I would say is that our sales cycles are variable. There are deals that close in a short number of months and there are deals that take 12-months or 16-months to close. And that’s been true since we started selling commercially a little over a year ago. I do think that the sales cycle is starting to shorten. So whereas a year ago, we might have started taking to a customer that we’re still working with to try to get closed. Now when we engage customers, a lot of times it’s inbounds. We have many more inbounds now as John pointed out than we used to have. And those deals tend to close faster, because they’re kind of already — they’ve done some research, they understand the value, they’re contacting us, because they want to start working with us and those sales tend to close faster.

But even when we reach out to customers, there does seem to be a greater awareness of what at least D-Wave approach to quantum can do. And this is in part, because we’ve been able to do a good job of getting the message out through a lot of different vehicles whether it’s PR or with a technical analyst like the report that IDC just put out, which for the first time actually puts us was — as one of the prime modalities for quantum computing. And that just generally helps to raise awareness. And then as we get more referenceable customers that helps to raise awareness. So that cycle — that sales cycle is starting to shorten. Relative to whether the economic environment is impacting the sales cycle or not, I’m not seeing that. It’s not that customers are, you know, putting discussions on hold or dragging their feet or walking away for economic reasons.

I’m really not seeing that. For us, it really ends up being the fact that we must continue to raise awareness of the fact that commercial quantum computing is available today and can benefit your business today, because we’re the only ones in the world that are able to deliver on that. Everybody else in the quantum industry is still saying not yet ready for commercial, just start experimenting with the system, start building a small workforce to understand it. And that’s fine for everybody else. But for us, it’s time to move today or be left behind.

Kevin Garrigan: Okay. Yeah. No, that makes a ton of sense. Thank you for that. And then just as a quick [Technical Difficulty] remind us of your retention rate for your customers?

John Markovich: Our renewals on our QCaaS business Kevin has historically been consistently in excess of 90%.

Kevin Garrigan: Perfect. Thanks, guys.

Operator: Thank you. Next question is coming from Suji Desilva from Roth [Capital Partners] (ph). Your line is now live.

Suji Desilva: Hi, John. Congrats on the progress here. Just real quick on the cash just to clarify with the $15 million that came in after the end of the quarter, so I would take the $9 million and $15 million, $24 million, that’s a rough way of thinking about your current cash run way, is that correct?

John Markovich: That’s correct, Suji. So we closed the first tranche of the $50 million loan commitment, it was funded on the 14th of April.

Suji Desilva: Great. Just want to make sure there’s no other elements. And then lead generation, I was curious when you had your January, you had a lot partners — channel partners presenting there. What percent of your lead generation now is coming direct versus from your channel partners trying to get a sense of how that’s working out the channel program?

Alan Baratz: Yes. I think that we’ve got some really great channel partners. We’ve talked about NEC in the Asia Pacific region and now looking to grow with us in Europe. We’ve got Deloitte as a partner, that actually presented at qubit. We’ve got some regional partners like Sigma-i in Japan or Multiverse in Europe. All that having been said, I would say that still the majority of our business is direct. I’d say that John, I don’t know the exact number. The exact percentage maybe you have it, but the vast majority of our business is still direct as we are now, kind of, working with those partners to, kind of, help them understand how to be successful in the market and add new channel partners. So it’s still early with respect to building out the channel.

Suji Desilva: Got it. That’s a good opportunity there. And then last question real quick, Alan, you mentioned something about competitors and how you’ll be kind of the lowest funded, kind of, business to grow. Can you just walk us through the two or three reasons why you’re more efficient from a funding capital perspective versus competitors?

Alan Baratz: Yes, actually it was John that made that comment.

Suji Desilva: Sorry.

Alan Baratz: But look, I’ll share some thoughts and then John may want to weigh in on it. The thing to keep in mind is that our quantum computers are commercial today. It’s not like we have years of R&D ahead of us before we become commercial and drive that business. We’re commercial today, so the money that was invested in D-Wave over the last 15-years that has allowed us to get to this point where we have systems that are today capable of supporting business applications in production, driving a positive ROI for our customers and build the business means that as we look to the future, we need to invest less in the product R&D piece as we, kind of, drive the top line number for the business, and that’s what — that’s unlike everybody else where it’s a very heavy R&D investment for many years to come.

In fact, I think I said this in the past, there’s no evidence at all that a gate model system, which is what everybody else in the industry is pursuing, will ever be able to deliver commercial value without error correction. There’s just no evidence of that despite what people working in that space would like you to believe. And error correction is very difficult, very challenging technology where many years away and there’s a heavy R&D list that’s going to be associated to get there. So, you know, that’s kind of, the perspective that we have on our ability to uniquely drive the business and drive to profitability. And John, I don’t know if there’s anything you’d like to add.

John Markovich: No, I think you’ve captured it, Alan.

Suji Desilva: Great. Sorry for the wrong attribution there. Thanks, guys.

Operator: Thank you. Next question is coming from Quinn Bolton from Needham & Company. Your line is now live.

Quinn Bolton: Hey guys, let me — thank for taking my question. Just I just wanted to follow-up on sort of the deal size versus number of customers, sort of, question, deal size obviously seen a very strong increase over the last several quarters, but the number of customers only increased modestly to 65 in the latest 12 months versus 63 in the prior 12 month period. And so wondering if you could comment on the trends in the number of customers with whom you’re engaged in generating revenue? Are you sort of limiting the number of customers just so that you can provide adequate support? Do you think it’s a lack of interest in Quantum just any thoughts you have on the number of customers? Thanks.

Alan Baratz: Yes. Let me take a pass at that and then maybe John wants to weigh in. So first of all, yes, we are really focused right now on helping to get customers to production. In other words, our focus is on working with customers to evaluate their applications, to develop the proofs-of-concept and then to start moving that into production. Because at the end of the day, that’s really what fuels the quantum compute as a service component of the business. And what really allows us to, kind of, build that backlog and very predictable revenue growth, because the simplicity in revenue recognition in QCaaS as both John and I have mentioned in the past. So we do have a very heavy emphasis on that right now, which includes upselling to our current customers.

And so I think I’ve talked about this in the past, but Mastercard that also presented at our Qubit’s Conference is a great example of that. Steve Flinter from Mastercard talked about customer loyalty rewards optimization, which we’re moving well down the path on. And then he mentioned several other applications, and so we do have a heavy focus right now on working with customers to move them to production and then upselling those customers. And the sales team is very — they’re very focused on helping to drive that upsell. So that is absolutely a component of, kind of, what’s going on relative to increase in the number of customers.

Quinn Bolton: Thanks, Alan for that perspective. And then I guess one — just quickly for John, if I annualize the first quarter EBITDA loss, it looks like you’re tracking more to about a $68 million EBITDA loss. Obviously, your guidance for the year is $62 million or lower. Is it a sort of function of just revenue ramping, gross margins increasing that sort of brings EBITDA loss down or do you expect to limit discretionary spending anything on the expense side that may also be factored into reducing EBITDA loss down to that $62 million target as we come through the year? Thanks.

John Markovich: Sure. So we have some costs incurred in the first quarter, Quinn, that are not recurring in nature. For example, the cost of the audit, we also have some obligations that are trailing off over the course of the year. So that’s essentially from the expense side of it — on the top side of it, we do expect that the growth in our gross profit over the course of the year will help offset that as well.

Quinn Bolton: Got it. Thank you.

Operator: Thank you. [Operator Instructions] We reached the end of our question-and-answer session. I’d like to turn the floor back over for any further or closing comments.

Alan Baratz: Okay. Well first of all, thank you all for taking the time to be here with us today. I think the biggest takeaway from today’s call is that we’re seeing positive momentum and traction with the commercial adoption of our quantum annealing technology as evidenced by a number of commercial customers, sequential quarter-over-quarter growth in bookings and increased size of quantum computer-as-a-service and professional services engagements. Companies are recognizing that they should start exploring and incorporating quantum technology into their compute infrastructures now or be left behind and they’re engaging with D-Wave and our commercial ready practical quantum computing solutions to get started with their quantum journey today. So with that, again, I thank you all for your time and we’ll look forward to talking with you at the end of next quarter.

Operator: Thank you. That does conclude today’s teleconference and webcast. You may disconnect your line at this time and have a wonderful day. We thank you for your participation today.

Follow D-Wave Quantum Inc.

AI Fire Sale: Insider Monkey’s #1 AI Stock Pick Is On A Steep Discount

Artificial intelligence is the greatest investment opportunity of our lifetime. The time to invest in groundbreaking AI is now, and this stock is a steal!

The whispers are turning into roars.

Artificial intelligence isn’t science fiction anymore.

It’s the revolution reshaping every industry on the planet.

From driverless cars to medical breakthroughs, AI is on the cusp of a global explosion, and savvy investors stand to reap the rewards.

Here’s why this is the prime moment to jump on the AI bandwagon:

Exponential Growth on the Horizon: Forget linear growth – AI is poised for a hockey stick trajectory.

Imagine every sector, from healthcare to finance, infused with superhuman intelligence.

We’re talking disease prediction, hyper-personalized marketing, and automated logistics that streamline everything.

This isn’t a maybe – it’s an inevitability.

Early investors will be the ones positioned to ride the wave of this technological tsunami.

Ground Floor Opportunity: Remember the early days of the internet?

Those who saw the potential of tech giants back then are sitting pretty today.

AI is at a similar inflection point.

We’re not talking about established players – we’re talking about nimble startups with groundbreaking ideas and the potential to become the next Google or Amazon.

This is your chance to get in before the rockets take off!

Disruption is the New Name of the Game: Let’s face it, complacency breeds stagnation.

AI is the ultimate disruptor, and it’s shaking the foundations of traditional industries.

The companies that embrace AI will thrive, while the dinosaurs clinging to outdated methods will be left in the dust.

As an investor, you want to be on the side of the winners, and AI is the winning ticket.

The Talent Pool is Overflowing: The world’s brightest minds are flocking to AI.

From computer scientists to mathematicians, the next generation of innovators is pouring its energy into this field.

This influx of talent guarantees a constant stream of groundbreaking ideas and rapid advancements.

By investing in AI, you’re essentially backing the future.

The future is powered by artificial intelligence, and the time to invest is NOW.

Don’t be a spectator in this technological revolution.

Dive into the AI gold rush and watch your portfolio soar alongside the brightest minds of our generation.

This isn’t just about making money – it’s about being part of the future.

So, buckle up and get ready for the ride of your investment life!

Act Now and Unlock a Potential 10,000% Return: This AI Stock is a Diamond in the Rough (But Our Help is Key!)

The AI revolution is upon us, and savvy investors stand to make a fortune.

But with so many choices, how do you find the hidden gem – the company poised for explosive growth?

That’s where our expertise comes in.

We’ve got the answer, but there’s a twist…

Imagine an AI company so groundbreaking, so far ahead of the curve, that even if its stock price quadrupled today, it would still be considered ridiculously cheap.

That’s the potential you’re looking at. This isn’t just about a decent return – we’re talking about a 10,000% gain over the next decade!

Our research team has identified a hidden gem – an AI company with cutting-edge technology, massive potential, and a current stock price that screams opportunity.

This company boasts the most advanced technology in the AI sector, putting them leagues ahead of competitors.

It’s like having a race car on a go-kart track.

They have a strong possibility of cornering entire markets, becoming the undisputed leader in their field.

Here’s the catch (it’s a good one): To uncover this sleeping giant, you’ll need our exclusive intel.

We want to make sure none of our valued readers miss out on this groundbreaking opportunity!

That’s why we’re slashing the price of our Premium Readership Newsletter by a whopping 70%.

For a ridiculously low price of just $29, you can unlock a year’s worth of in-depth investment research and exclusive insights – that’s less than a single restaurant meal!

Here’s why this is a deal you can’t afford to pass up:

• Access to our Detailed Report on this Game-Changing AI Stock: Our in-depth report dives deep into our #1 AI stock’s groundbreaking technology and massive growth potential.

• 11 New Issues of Our Premium Readership Newsletter: You will also receive 11 new issues and at least one new stock pick per month from our monthly newsletter’s portfolio over the next 12 months. These stocks are handpicked by our research director, Dr. Inan Dogan.

• One free upcoming issue of our 70+ page Quarterly Newsletter: A value of $149

• Bonus Reports: Premium access to members-only fund manager video interviews

• Ad-Free Browsing: Enjoy a year of investment research free from distracting banner and pop-up ads, allowing you to focus on uncovering the next big opportunity.

• 30-Day Money-Back Guarantee:  If you’re not absolutely satisfied with our service, we’ll provide a full refund within 30 days, no questions asked.

 

Space is Limited! Only 1000 spots are available for this exclusive offer. Don’t let this chance slip away – subscribe to our Premium Readership Newsletter today and unlock the potential for a life-changing investment.

Here’s what to do next:

1. Head over to our website and subscribe to our Premium Readership Newsletter for just $29.

2. Enjoy a year of ad-free browsing, exclusive access to our in-depth report on the revolutionary AI company, and the upcoming issues of our Premium Readership Newsletter over the next 12 months.

3. Sit back, relax, and know that you’re backed by our ironclad 30-day money-back guarantee.

Don’t miss out on this incredible opportunity! Subscribe now and take control of your AI investment future!


No worries about auto-renewals! Our 30-Day Money-Back Guarantee applies whether you’re joining us for the first time or renewing your subscription a year later!

A New Dawn is Coming to U.S. Stocks

I work for one of the largest independent financial publishers in the world – representing over 1 million people in 148 countries.

We’re independently funding today’s broadcast to address something on the mind of every investor in America right now…

Should I put my money in Artificial Intelligence?

Here to answer that for us… and give away his No. 1 free AI recommendation… is 50-year Wall Street titan, Marc Chaikin.

Marc’s been a trader, stockbroker, and analyst. He was the head of the options department at a major brokerage firm and is a sought-after expert for CNBC, Fox Business, Barron’s, and Yahoo! Finance…

But what Marc’s most known for is his award-winning stock-rating system. Which determines whether a stock could shoot sky-high in the next three to six months… or come crashing down.

That’s why Marc’s work appears in every Bloomberg and Reuters terminal on the planet…

And is still used by hundreds of banks, hedge funds, and brokerages to track the billions of dollars flowing in and out of stocks each day.

He’s used this system to survive nine bear markets… create three new indices for the Nasdaq… and even predict the brutal bear market of 2022, 90 days in advance.

Click to continue reading…