Palantir Technologies Inc. (PLTR) Earnings
Palantir Technologies Inc. is expected to report next earnings on November 2, 2026 (in NaN days), with a consensus EPS estimate of $0.41. PLTR has beaten EPS estimates in 9 of its last 10 reported quarters (average surprise +18.5% over the last four).
| Report date | EPS est | EPS actual | Surprise | Revenue | Rev. surprise |
|---|---|---|---|---|---|
| Aug 3, 2026 | $0.34 | $0.41 | +19.0% | $1.9B | +6.8% |
| May 4, 2026 | $0.28 | $0.33 | +19.0% | $1.6B | +5.9% |
| Feb 2, 2026 | $0.23 | $0.25 | +8.6% | $1.4B | +4.9% |
| Feb 3, 2025 | $0.11 | $0.14 | +27.3% | $828M | -4.8% |
| Nov 2, 2023 | $0.06 | $0.07 | +16.7% | $558M | +0.5% |
| Feb 13, 2023 | $0.03 | $0.04 | +50.3% | $509M | +1.2% |
| Feb 17, 2022 | $0.04 | $0.02 | -44.1% | $433M | +3.6% |
| Aug 12, 2021 | $0.04 | $0.04 | +13.0% | $376M | +6.6% |
| Feb 16, 2021 | $0.02 | $0.07 | +190.3% | $322M | +0.0% |
| Nov 12, 2020 | $0.02 | $0.09 | +359.2% | $289M | -55.6% |
| Sep 30, 2020 | — | $-0.12 | — | $252M | — |
| Mar 30, 2019 | — | $-0.25 | — | $161M | — |
Source: company filings + earnings calendar. For informational purposes only — not investment advice.
Earnings call summary
Q2 FY2026 · August 3, 2026
AI summary of management’s prepared remarks and analyst Q&A. For informational purposes only — not investment advice.
Management highlights
- **Product & Technology Strategy** * Palantir's Artificial Intelligence Platform (AIP) is positioned as the leading solution for enterprise sovereign AI, designed to turn token usage into real economic value for customers in high-stakes, complex environments. * AIP's layered architecture (including data integration, ontology, security, agent orchestration, telemetry, and custom post-training model optimization) enables customers to build and control their own sovereign AI within their security boundaries, with weights owned by the customer. * The company has shifted from the 'bench-maxing' era (optimizing for third-party generic benchmarks) to a 'bench-making' era, where customers build custom, business-specific benchmarks to drive continuous AI improvement aligned with their operational needs. Palantir has already demonstrated that untuned open models like Nemotron Ultra can outperform frontier models on customer-specific production tasks. * Palantir differentiates via its unique forward deployed engineer (FDE) model, which delivers on-the-ground, customer-aligned implementation that generic sales engineering teams cannot match. - **Customer & Commercial Momentum** * Palantir closed a record 220 deals of $1 million or more in Q2, including 98 deals of $5 million or more and 73 deals of $10 million or more. * Demand is driven by widespread enterprise adoption of the sovereign AI framework, where customers seek full control over their data, operational logic, intellectual property, and AI assets, avoiding dependency on large frontier model providers that extract customer data to compete against them. * Existing customers are rapidly expanding their usage: customers that previously only used Palantir's Foundry platform are now adopting the full AIP sovereign AI stack, driving very high net dollar retention. * The American Tech Fellowship (ATF) program now has over 1,000 graduates, enabling non-traditional tech workers (including frontline factory and service workers) to build custom AI applications that deliver dramatic operational improvements. - **Government Business Highlights** * The Maven AI platform for the U.S. Department of Defense won its first program of record award this quarter, and now has over 25,000 developers building AI agents and applications on the platform to support military operations. * Palantir continues to prioritize U.S. government work as a core organizational mission, delivering battle-tested advanced AI capabilities to U.S. national security missions. - **Financial Performance Highlights** * The company delivered all-time record YoY revenue growth (93%), record adjusted free cash flow ($1.22 billion), and achieved billion-dollar milestones for GAAP net income, adjusted free cash flow, and adjusted operating income. The company has sustained 12 consecutive quarters of expanding Rule of 40 score.
Guidance
- Q3 2026 revenue is guided to between $2.16 billion and $2.164 billion, with adjusted operating income expected between $1.292 billion and $1.296 billion. - Full year 2026 total revenue guidance was raised to a range of $8.15 billion to $8.158 billion, representing 82% YoY growth. This is an 11 percentage point increase to the midpoint from the prior quarter's guidance, the largest full-year guidance raise in Palantir's history. - Full year 2026 U.S. commercial revenue guidance was raised to more than $3.424 billion, representing at least 134% YoY growth. - Full year 2026 adjusted operating income guidance was raised to between $4.889 billion and $4.897 billion, and adjusted free cash flow guidance was raised to between $4.5 billion and $4.7 billion. - Management continues to expect GAAP operating profitability and GAAP net income in every quarter of 2026.
Segment performance
### Commercial Segment - Total Q2 2026 commercial revenue: $945 million, growing 110% year-over-year (YoY) and 22% sequentially. Total commercial TCV bookings were $2.337 billion, up 118% YoY. - U.S. Commercial sub-segment: Revenue of $764 million, up 149% YoY and 28% sequentially. This contributed 40% of total company revenue. Q2 U.S. commercial TCV bookings hit a record $2.132 billion, up 153% YoY and 81% sequentially. Trailing 12-month U.S. commercial TCV bookings are $5.964 billion, up 117% YoY. Total remaining deal value grew 124% YoY, and customer count reached 653, up 35% YoY. - International Commercial sub-segment: Revenue of $182 million, growing 26% YoY and 2% sequentially. Revenue from strategic commercial contracts was just $400,000, representing 0.02% of total revenue. ### Government Segment - Total Q2 2026 government revenue: $990 million, growing 79% YoY and 15% sequentially. This contributed 52% of total company revenue. Total government TCV bookings were $3.4 billion, up 49% YoY (129% YoY on a dollar-weighted duration basis), with a net dollar retention rate of 157%. - U.S. Government sub-segment: Revenue of $809 million, up 90% YoY and 18% sequentially, driven by strong existing program execution and new awards for AI capabilities. Trailing 12-month U.S. Department of Defense revenue remains less than 25 basis points of the total Pentagon budget. - International Government sub-segment: Revenue of $181 million, growing 42% YoY and 5% sequentially. ### Overall Company Performance - Total Q2 2026 revenue grew 93% YoY to $1.935 billion. U.S. business overall comprises 81% of total revenue, growing 115% YoY. Adjusted free cash flow was $1.22 billion (63% margin, up 115% YoY), GAAP net income was $1.062 billion, and the Rule of 40 score hit 155%. Total remaining deal value across the company reached $13.1 billion, up 83% YoY, with remaining performance obligations of $4.9 billion, up 103% YoY.
Risks & headwinds
- Forward-looking statements about future financial and operational performance are subject to inherent risks and uncertainties that could cause actual results to differ materially from current expectations; detailed risk disclosures are available in the company's SEC filings and earnings press release. - Enterprises that rely on third-party frontier AI models face the material risk of intellectual property and data expropriation, where providers use customer data to build competing businesses that displace the customer's core operations. - Customers using third-party frontier models also face lock-in and vendor dependency risks: models can be pulled or discontinued by providers, resulting in disruption to mission-critical enterprise operations, which has already occurred multiple times in 2026. - Generic AI benchmarks promoted by frontier model providers do not align with real-world customer operational needs, leading to poor performance and value leakage for enterprises that build their AI strategy around these generic benchmarks.
Analyst Q&A
Q: What unexpected insights came out of Palantir's recent sovereign AI boot camp with customers? /
A: Management was surprised by the massive unanticipated demand from customers across all levels of enterprise leadership, including many new prospects and long-time existing customers. Customers already broadly understand the risks of third-party token consumption (including IP transfer to frontier model providers), but demand large-scale education on how to implement sovereign AI solutions, including contracting, model interoperability, and ontology's role as a protective value-creating layer. The event also drove increased internal excitement across Palantir teams, and revealed that many older existing customers are ready to expand beyond Foundry to adopt Palantir's full sovereign AI stack.
Q: Why is Palantir uniquely positioned to win in the current AI market, when the importance of proprietary data for AI has been widely understood for years? /
A: Management explained that Palantir focused early on building an application layer that turns AI into tangible economic value, rather than just generic model development. Over time, enterprises have realized that even beyond raw training data, AI usage generates valuable metadata, reasoning traces, and operational exhaust that third parties can exploit, creating a new urgency for sovereign control. Palantir's organizational culture of prioritizing long-term customer alignment over short-term extractive business models, and its willingness to invest in insights far ahead of mainstream market recognition, have set it apart from incumbent software companies that follow pre-existing playbooks. Palantir's outsider status has also driven a relentless focus on delivering tangible results, which now drives its market momentum.
Q: Beyond the risk of frontier labs competing with customers, does sovereign AI also address the risk of vendor lock-in when models get discontinued or pulled? /
A: Management confirmed that this is a major, tangible risk that already materialized multiple times in 2026, when frontier models were pulled by providers or regulators, leaving customers with disrupted mission-critical systems. Palantir's AIP architecture is explicitly built to support model interoperability, allowing customers to swap out models seamlessly when needed, avoiding lock-in to any single provider. This approach aligns with Palantir's core focus on letting customers build their own custom benchmarks to match their specific business needs, and continuously swap and optimize models based on performance for their unique use case, rather than being tied to a single provider's generic model.