United States
“10-K Item 1: 'In 2025, we earned 74% of our revenue from customers in the United States, and 26% from those abroad.'”
Updated
The most significant concentration Palantir Technologies discloses is United States at 74%, classified HIGH by disclosed size. Below: the full set from the latest 10-K — verbatim quotes, filing references, and a synthesis of what these exposures mean together.
Model-generated analysis — not investment advice. Not a registered investment advisor. Past performance does not guarantee future results.
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Source: Palantir Technologies’s SEC Form 10-K filed — view the filing on SEC EDGAR ↗
Each card carries a disclosed-size chip (HIGH / MEDIUM / LOW — how large the exposure is as a share of revenue, not how dangerous it is) and a nature tag: Built-in(the company’s own model, geography, or products) or Outside party (an external customer, supplier, or distributor it relies on).
“10-K Item 1: 'In 2025, we earned 74% of our revenue from customers in the United States, and 26% from those abroad.'”
“10-K Item 1: '54% came from customers in the government segment, and 46% came from customers in the commercial segment'”
“10-K Item 1A: 'Our top three customers together accounted for 16% and 17% of our revenue for the years ended December 31, 2025 and 2024, respectively.'”
The company's concentration profile is defined by two high-share exposures — a domestic revenue skew and a government-segment dependency — with a low-share customer-level concentration at the individual-account level. Revenue from U.S. customers accounted for 74% of total revenue in 2025, with 26% from customers abroad. This is a high-share domestic concentration that is structural: the company's deepest platform deployments and most mature commercial relationships are in the United States, and U.S. government and enterprise buying cycles are the primary growth drivers. The government segment accounted for 54% of total revenue — a high-share exposure with a mixed character. Government contracts provide revenue durability given their multi-year nature, but they also introduce procurement risk: budget reallocations, program cancellations, contract non-renewals, or shifts in government AI and data-analytics strategy can affect a meaningful share of revenue without the commercial market signals that would precede a private-sector downturn. The combined character is mixed: structural in the sense of deliberate positioning, but with dependency dimensions tied to contract renewal and budget appropriation cycles. At the individual-account level, the top three customers together accounted for 16% of revenue for the year ended December 31, 2025 — a low-share concentration by disclosed size, suggesting that even within the government segment, no single agency or program dominates at a level that would be verdict-moving on its own. Together, the dominant watch items are U.S. government budget cycles and the pace of commercial segment diversification relative to the government-heavy revenue base.
For the engine’s reasoning on PLTR’s current verdict — including which dimensions drove the score — see the per-dimension breakdown.
| Symbol | Name | HIGH | MEDIUM | LOW | Total |
|---|---|---|---|---|---|
| APPN | Appian Corporation | 2 | 2 | 0 | 4 |
| PLTR● | Palantir Technologies Inc. | 2 | 0 | 1 | 3 |
| AVPT | AvePoint, Inc. | 1 | 0 | 0 | 1 |
| ATEN | A10 Networks, Inc. | 0 | 2 | 0 | 2 |
| ACIW | ACI Worldwide, Inc. | 0 | 0 | 0 | 0 |
| AKAM | Akamai Technologies, Inc. | 0 | 0 | 0 | 0 |
Concentration counts reflect items disclosed in each peer’s most recent 10-K; disclosed-size classification uses TrendMatrix’s internal 10-K extraction taxonomy.