TIP841: Palantir – Palantir is Cheaper than I Thought! w/ Daniel Mahncke & Shawn O’Malley
Episode
74 min
Read time
3 min
Topics
Health & Wellness, Investing, Fundraising & VC
AI-Generated Summary
Key Takeaways
- ✓Ontology as moat: Palantir's core product is an "ontology" — a live map connecting every data point, permission, and action across an entire organization. Building this digital twin requires months of on-site work by forward-deployed engineers, creating switching costs so high that once a client is onboarded, rebuilding the system with a competitor is practically prohibitive. No rival has replicated this at scale in two-plus years of trying.
- ✓AIP as the growth inflection trigger: Revenue growth collapsed to 12% in 2023 before AIP launched. The AI Platform simplified onboarding dramatically and enabled Palantir to run boot camps — three-to-five-day workshops where CEOs and CIOs tested the software on their own data at zero cost. Over 1,000 such workshops have run since, converting skeptical executives into paying customers and driving net dollar retention from 100% to nearly 160%.
- ✓Rule of 40 at 155%: Investors evaluating software companies use the Rule of 40, adding revenue growth rate to profit margin — a score above 40 signals health. Palantir scores 155%: 90% top-line growth plus a 65% net profit margin. For context, the average enterprise software company scores around 40. This combination of scale, speed, and profitability is rare and directly challenges the assumption that high multiples are unjustified.
- ✓Valuation reframe using forward sales multiples: Palantir trades at roughly 60 times trailing sales, which looks extreme. However, if CEO Alex Karp delivers on his guidance of ~150% growth through 2027, the price-to-sales ratio compresses to approximately 20 times forward revenue. At a 60% operating margin, that equates to roughly 35 times operating profit — identical to the average enterprise software peer trading at 7 times sales with a 20% margin. Trailing multiples mislead here.
- ✓Model-agnostic architecture as competitive defense: Palantir does not operate its own large language model. Instead, AIP runs on Claude, ChatGPT, Gemini, Mistral, Llama, and others interchangeably, chosen per client preference. This model-agnostic design means no single AI provider holds pricing power over Palantir. If OpenAI raises prices, clients switch to Mistral through the same Palantir interface. This structure insulates margins from LLM commoditization and reduces dependency on any single frontier model.
What It Covers
Daniel Mahncke and Shawn O'Malley analyze Palantir's business model, competitive moat, and valuation across its four platforms — Gotham, Foundry, Apollo, and AIP. Revenue growth accelerated from 12% in 2023 to 90% year-over-year, net margins reached 60%, and the Rule of 40 score hit 155%, prompting a reassessment of whether the stock is as overpriced as it appears.
Key Questions Answered
- •Ontology as moat: Palantir's core product is an "ontology" — a live map connecting every data point, permission, and action across an entire organization. Building this digital twin requires months of on-site work by forward-deployed engineers, creating switching costs so high that once a client is onboarded, rebuilding the system with a competitor is practically prohibitive. No rival has replicated this at scale in two-plus years of trying.
- •AIP as the growth inflection trigger: Revenue growth collapsed to 12% in 2023 before AIP launched. The AI Platform simplified onboarding dramatically and enabled Palantir to run boot camps — three-to-five-day workshops where CEOs and CIOs tested the software on their own data at zero cost. Over 1,000 such workshops have run since, converting skeptical executives into paying customers and driving net dollar retention from 100% to nearly 160%.
- •Rule of 40 at 155%: Investors evaluating software companies use the Rule of 40, adding revenue growth rate to profit margin — a score above 40 signals health. Palantir scores 155%: 90% top-line growth plus a 65% net profit margin. For context, the average enterprise software company scores around 40. This combination of scale, speed, and profitability is rare and directly challenges the assumption that high multiples are unjustified.
- •Valuation reframe using forward sales multiples: Palantir trades at roughly 60 times trailing sales, which looks extreme. However, if CEO Alex Karp delivers on his guidance of ~150% growth through 2027, the price-to-sales ratio compresses to approximately 20 times forward revenue. At a 60% operating margin, that equates to roughly 35 times operating profit — identical to the average enterprise software peer trading at 7 times sales with a 20% margin. Trailing multiples mislead here.
- •Model-agnostic architecture as competitive defense: Palantir does not operate its own large language model. Instead, AIP runs on Claude, ChatGPT, Gemini, Mistral, Llama, and others interchangeably, chosen per client preference. This model-agnostic design means no single AI provider holds pricing power over Palantir. If OpenAI raises prices, clients switch to Mistral through the same Palantir interface. This structure insulates margins from LLM commoditization and reduces dependency on any single frontier model.
- •Stock-based compensation as a real dilution headwind: Palantir carries zero debt and holds over $9 billion in cash with no active buyback program. However, stock-based compensation runs at 13% of revenue — down from 20% two years ago but still meaningful. With share count growing roughly 1–1.5% annually and no dividends or buybacks planned, investors are being diluted even as revenue scales. Evaluating Palantir requires adjusting per-share projections for this ongoing dilution rather than relying on headline earnings growth alone.
Notable Moment
The hosts note that Palantir's biggest internal obstacle during client onboarding is not technology — it is middle management resistance. Employees whose departments lose autonomy when Palantir maps their data routinely delay meetings, cite vague security protocols, and withhold access, forcing Palantir engineers to navigate corporate politics before writing a single line of deployment code.
Episode Transcript
You're listening to TIP. Welcome back to The Investors Podcast, episode 841. And the last time the two of us talked, we discussed our biggest winners and our biggest losers out of all the companies that we pitched in the last one and a half years, and I thought that was a lot of fun. It was a nice change of pace, but today we're getting back to what we do best, and that's flipping over more rocks, looking for opportunities, and you've got a stock pick today that listeners will probably have very mixed opinions about, and there's others who have heard a lot about it, but I'm guessing really are gonna be excited to better understand what the business is all about. It is a divisive company, I would say, but also a very popular company, especially in the investment circles. And I know you and Kyle looked at SpaceX not too long ago and surprise, surprise, that company is far away from being a value play and therefore not the type of company that we want to invest in. And I thought it might be the same for today's pitch, which maybe we should say it is Palantir. And please don't get me wrong, Palantir is not a value play. But when I started my research, I did it thinking in the back of my mind at least. I might need to abort and look for another company because there's just no sense in pitching it. But that wasn't the case. I actually found myself pretty excited about the opportunity. Just a year ago, Palantir traded at twice the multiple with half the growth rate, and that has completely shifted now. And again, that does make it a value play. But for everyone who loves high quality companies, as most of us do, and is a generally curious person, I think you should listen to this. I think you will be positively surprised by today's pitch. Maybe I'll be one of them. Just like you, I never looked at Palantir thinking it was way too expensive anyway. But if you're intrigued by it, then I'm ready to get into it. Since 2014, with more than 200,000,000 downloads, we have interviewed the world's best investors, studied deeply the principles of value investing, and uncovered many compelling investment opportunities. We focus on understanding businesses and intrinsic value, investing accordingly, and sharing everything we learn with you. This show is not investment advice. It's intended for informational and entertainment purposes only. All opinions expressed by hosts and guests are solely their own, and they may have investments in the securities discussed. Now for your hosts, Sean O'Malley and Daniel Mancur. Alright. So where do you wanna start? Personally, I I think I could use a brief explanation of what exactly Palantir does. I can't really say I have a good idea of what they do. It's a very enigmatic company. Yeah. Before looking at this for the episode, I honestly …
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Books, tools, and gear mentioned in this episode
SignalCast may earn commission on purchases via these links.
Tools
by Anthropic
“Palantir does not operate its own large language model. Instead, AIP runs on Claude, ChatGPT, Gemini, Mistral, Llama, and others interchangeably, chosen per client preference.”
by OpenAI
“Palantir does not operate its own large language model. Instead, AIP runs on Claude, ChatGPT, Gemini, Mistral, Llama, and others interchangeably, chosen per client preference.”
by Google
“Palantir does not operate its own large language model. Instead, AIP runs on Claude, ChatGPT, Gemini, Mistral, Llama, and others interchangeably, chosen per client preference.”
by Mistral AI
“Palantir does not operate its own large language model. Instead, AIP runs on Claude, ChatGPT, Gemini, Mistral, Llama, and others interchangeably, chosen per client preference.”
by Meta
“Palantir does not operate its own large language model. Instead, AIP runs on Claude, ChatGPT, Gemini, Mistral, Llama, and others interchangeably, chosen per client preference.”
“Sponsors: Scribe (https://scribe.how/wsb)”
company
“Daniel Mahncke and Shawn O'Malley analyze Palantir's business model, competitive moat, and valuation across its four platforms — Gotham, Foundry, Apollo, and AIP.”
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