--- title: "PLTR (Trans): Bespoke enterprise solutions, truly autonomous execution; unlike legacy software and theoretical AI." type: "Topics" locale: "en" url: "https://longbridge.com/en/topics/40413064.md" description: "Below is Dolphin Research's Trans of PLTR FY2026 Q1 earnings call. For the earnings analysis, cf. 'Palantir：软件末日论汹涌，最牛信仰股也松动了？'.Section I: Core highlights recap.1) Guidance materially raised: FY2026 revenue midpoint lifted to $7.656bn (+71% YoY), up 10ppt vs. last quarter's guide, marking the largest full-year revenue guide raise in company history. Q2 revenue guide at $1.797–1.801bn..." datetime: "2026-05-05T03:35:43.000Z" locales: - [en](https://longbridge.com/en/topics/40413064.md) - [zh-CN](https://longbridge.com/zh-CN/topics/40413064.md) - [zh-HK](https://longbridge.com/zh-HK/topics/40413064.md) author: "[Dolphin Research](https://longbridge.com/en/news/dolphin.md)" --- # PLTR (Trans): Bespoke enterprise solutions, truly autonomous execution; unlike legacy software and theoretical AI. **Below is Dolphin Research's Trans of Palantir FY26 Q1 earnings call. For the earnings breakdown, see '**[**Palantir: As 'software doom' narratives swell, even the strongest faith stock wobbles?**](https://longbridge.cn/topics/40409042?channel=SH000001&invite-code=355628&app_id=longbridge&utm_source=longbridge_app_share&locale=zh-CN&share_track_id=89858eeb-cf66-4e73-b2c3-cbbf2cdfced2)**'.** **I. Key takeaways** 1) **Guidance raised sharply**: FY2026 revenue guidance (midpoint) lifted to $7.656bn, +71% YoY. This is a 10ppt increase vs. last quarter's guide, the largest full-year raise in company history. Q2 revenue guided to $1.797–1.801bn, with Adj. OP of $1.063–1.067bn. U.S. Commercial full-year revenue is guided to \>$3.224bn (growth ≥120%). 2) **Profitability expanding**: Q1 Adj. OP was $984mn with 60% OPM. GAAP net income was $871mn with a 53% margin. Rule of 40 reached 145%, up 1,800bps QoQ, the 11th straight quarter of expansion. Full-year Rule of 40 guidance is 129%. 3) **Strong cash flow**: Q1 OCF was $899mn (55% margin), Adj. FCF was $925mn (57% margin). Cash and U.S. Treasuries ended at $8.0bn. Full-year Adj. FCF guidance raised to $4.2–4.4bn. 4) **Customer metrics and contracts accelerated**: Q1 TCV signed was $2.4bn, +61% YoY (+135% YoY on USD-weighted duration, implying more long-dated deals). U.S. Commercial TCV signed was $1.2bn, +45% YoY, marking a third straight quarter above $1bn. Net dollar retention was 150%, up 1,100bps QoQ. Remaining contract value was $11.8bn, +98% YoY; RPO was $4.5bn, +134% YoY. **II. Call details** **2.1 Key management remarks** 1) **AIP platform and customer deployments** a. AIP is positioned as the only true 'AI no-slop zone' — a platform that deploys AI in production with precision, attribution, and auditability, in contrast to approaches that rely on the model alone. b. Case studies: AIG is rolling out AIP-powered multi-agent underwriting and claims (submission triage, risk scoring, pricing baselines, and fraud detection via purpose-built agents coordinated by ontology). GE Aerospace lifted engine output by 26% with AIP and is expanding into military aviation supply chains. Thomas Cavanagh Construction has 97% of employees using Foundry daily, making other software 'prove it belongs'. c. Palantir is doing the same internally: this quarter it rebuilt the legacy CRM on AIP in a few months. d. Building a native Agent Engine SDK — unified ontology-native primitives for agent creation, persistence, governance, and operations, with per-agent/session/workflow cost attribution, full provenance chains (each ontology change traceable to the agent and its reasoning), and security label propagation with approval gates. 2) **U.S. Commercial** a. U.S. Commercial revenue was $595mn, +133% YoY and +18% QoQ. Excluding the reclassification of one commercial program into the Gov. segment, growth would be +143% YoY and +22% QoQ. b. U.S. Commercial customers reached 615, +42% YoY and +8% QoQ. c. U.S. Commercial TTM TCV signed was $4.7bn, up 115% vs. the prior 12 months. 3) **U.S. Gov. and Defense** a. Maven supported real combat use cases in Q1. Usage doubled over the last four months and quadrupled over the last 12, spanning all services, the Joint Staff, and intel agencies. b. ShipOS delivered for the Navy's shipbuilding base: bill-of-material approvals fell from 200 hours to 15 seconds, contract review cycles accelerated by 57%–73%, and monthly materials planning time dropped 94%. c. USDA awarded Palantir up to $300mn to support U.S. agriculture, safeguard farmland, bolster supply chain resilience, and prevent fraud and foreign influence. d. AIP has become the default build platform for DoD, with thousands of developers using AIFD to migrate legacy systems and build new capabilities. 4) **AI security and Apollo** a. Mythos, Spud, and other contemporary models combined with AIP are surfacing novel vulnerabilities across complex cyber kill chains, including thousands of zero-days in mainstream OS and browsers — a 'Sputnik moment' in the AI arms race. b. Discovery is no longer the bottleneck. Rapid, precise remediation is, and Apollo exists for this purpose, with a next-gen Apollo in development. 5) **Jevons paradox and industry trends** a. The cost per 1mn tokens at GPT-4-level performance has fallen roughly 1,000x over three years, while AIP workflows are consuming far more tokens. As tokens get cheaper, the tasks economically assignable to AI grow exponentially. b. More tokens mean more slop. Enterprises need a platform to govern, attribute, and audit every agent's actions, which is exactly AIP's value. c. Intl Commercial revenue was $179mn, +26% YoY and +5% QoQ. Strategic commercial contracts fell to $3mn (0.2% of revenue), and are expected to be below $0.5mn in each remaining quarter this year. **2.2 Q&A** **Q: In an environment where AI pressures traditional software vendors, how does Palantir sustain its edge?** A: This is a major tailwind for us. We have always positioned against traditional software that is built around rent extraction and not delivering outcomes. We focus on building software for alpha, not beta — not to make you like everyone else, but to surface your differentiation and express your business strategy through the platform. That is the first axis of contrast. The second is against AI slop — we prioritize enterprise agency over flashy demos. Ontology is the body for the AI brain; without it, agents go nowhere. On the Gov. side, we are the platform for building apps and agents. On the commercial side, customers are replacing legacy software at lightning speed, and we are doing the same internally — for instance, we just rebuilt CRM on AIP with a far superior UX. Nearly every real U.S. AI success story has Palantir behind it. If you want to test this, dig into the enterprises truly transformed by AI and call the customers. Theory vs. practice in AI are fundamentally different. To a non-technical audience they look similar, but to practitioners — whether on the battlefield, in insurance, hospitals, or manufacturing — they are not. They find that to truly make it work you need platforms like ontology, executed today in Foundry via FDE, and only one company offers that combination. **Q: How do you allocate resources between Gov. and Commercial?** A: We always put the U.S. warfighter above everything. When we believe — or by proximity know — they are at risk, we mobilize the entire company. That may not be conventional, but it has been our way since inception. When faced with commercially similar opportunities, we prioritize national security 100%. This also gives us leverage. We tell the Gov.: this will not work as proposed; you are effectively asking us to spend our own money. We will, but we will not commit to what cannot be done or what does not advance the warfighter. Likewise with commercial clients, we are highly 'loyal' in how we partner and will not commoditize you. The only thing that comes before you is U.S. national security — popular or not. Our biggest constraint is U.S. demand — I believe we will grow 100% in the U.S., but we simply cannot meet all demand. The advantage is we can tell customers: if you want slop, go elsewhere; if you want legacy software that does not work and may vanish, there are many choices. If you want us, we will do it the meaningful way, which gives us real pricing and partnership power. Clients putting AI into the core — not experimentation — understand that **in mission-critical, zero-fail settings, AI must be precise, controllable, and slop-free, or it becomes an enterprise disaster.** The AIG CEO's example of agentic underwriting and claims coordinated via ontology is exactly that. These are material commitments, and our deep co-building with customers to deliver that impact is the core driver of our growth. **Q: With AI labs entering the enterprise, how many customers grasp the value of a platformed approach vs. trying Anthropic, Gemini, OpenAI, etc. point-solutions?** A: We live at the edge of model capability, which puts us in a good spot. AI labs see infinite potential, not where it becomes economic value, and much of it boils down to: 'how do I copy Palantir?' What we do is unique, rooted in the tension and structure between FDE and product development. We will listen to two unrelated AI lab customer stories and realize the transformation underneath is AIP’s ontology plus multi-agent architecture. We productized these capabilities long ago — we just did not realize how general they were. The best thing is to let customers try everything. Most come back to Palantir, and they do not all need to — we have capacity limits. They see how 'easy' it is to make those things work, then compare what they delivered to what we deliver. We do not need the whole market — 100% growth in the U.S. this year is already our max, and maybe we can do 100% next year as well. They can expand the market with shiny fronts; we will expand it by actually transforming enterprises. Ultimately, they need profitable growth, which comes from value created for customers — Palantir’s way. **Q: How hard is hiring in this market?** A: Palantir is known for having the best talent. Today, the world either wants to work at Palantir or at an AI lab — competition is intense. Our edge: at Palantir you learn to build truly unique things, and candidly, you can get any job in the world after Palantir. Palantir is a high-pressure, very distinctive environment; we need people willing to do uncommon work. While nine-tenths of the world likes us, one-tenth will oppose you professionally, and someone in your social circle will question why you are doing vital work with Israel, DoD, or elsewhere. I am confident we will continue to attract and retain the best globally. I am personally involved in hiring, with a focus on neurodivergent talent — people distinct enough to choose America and Palantir to do meaningful work. As we keep delivering these numbers and battlefield and enterprise experience, we can say more plainly: you can join a startup unlikely to go far — insiders know the VC backdrop is rough — or you can come to Palantir. Years ago I said Palantir is the world’s most important 'degree'; now everyone knows it, and that we truly change the world — and may still be undervalued. **Q: Maven is a budget priority in Defense, but this is an election year. How much does growth depend on appropriations? Would a continuing resolution (CR) impact it?** A: It is a highly active period on the defense side. It is not just Maven and TITAN, but also our work on major weapons system production and the broader 'Sputnik moment' agenda. DoD is pulling as much as possible into FY26, and historically we are likely to move into classified work — for most of our existence we have had classified contracts. Some factors are beyond our control, but I feel very good about our role: the stakes are high, what we provide is essential to move DoD forward, and we will deliver that value. **Risk disclosure and statement:**[**Dolphin Research Disclaimer and General Disclosures**](https://support.longbridge.global/topics/misc/dolphin-disclaimer) ### Related Stocks - [PLTR.US](https://longbridge.com/en/quote/PLTR.US.md) - [AIG.US](https://longbridge.com/en/quote/AIG.US.md) - [GE.US](https://longbridge.com/en/quote/GE.US.md) ## Comments (8) - **lyhalfway · 2026-05-06T09:43:29.000Z**: I listened to the earnings call today and have two additional pieces of noteworthy information to share:1. The "flywheel" signal from the government side: Maven usage has doubled in the past 4 months and increased 4x over the past 12 months; ShipOS has reduced manufacturing BoM approval time - **Indiacator · 2026-05-05T03:48:37.000Z · 👍 2**: Already liquidated. Whoever buys PLTR is in for bad luck. - **Dolphin Research** (2026-05-05T07:42:07.000Z): 😂 The valuation is still not low. - **新用呜呜户_FvMZ5J · 2026-05-05T03:47:53.000Z**: I really got in after the market closed today, from a profit of over $1,000 to now only $400 profit, haha - **Dolphin Research** (2026-05-05T07:46:37.000Z): Then the price you bought at in the last wave was pretty good. - **新用呜呜户_FvMZ5J · 2026-05-05T03:41:27.000Z · 👍 1**: Why did the stock price drop, haha - **黄金叶** (2026-05-05T03:45:07.000Z): Let you get on board - **Dolphin Research** (2026-05-05T07:46:05.000Z): Check out our last earnings report interpretation🫰