Palantir Technologies (PLTR) Operating Margin (2019 - 2026)
Palantir Technologies' Operating Margin was 46.89% in Q3 2026, up 13.60 percentage points from 33.30% a year earlier but down 0.23 percentage points from the prior quarter.
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Analysis
Palantir Technologies (PLTR) Operating Margin (2019 - 2026) Analysis & Trends
On a trailing twelve-month basis, Palantir Technologies' Operating Margin was 45.64% through Sep 30, 2026, up 23.83 percentage points year-over-year; for FY2025, it was 31.59%, up 20.76 percentage points from FY2024.
- Operating Margin has now increased for five consecutive years, with a five-year change of +139.01 percentage points (FY2020 to FY2025).
- In earlier years, Operating Margin was 10.83% in FY2024 (+5.44 pp), 5.39% in FY2023 (+13.85 pp), -8.46% in FY2022 (+18.20 pp) and -26.66% in FY2021 (+80.75 pp).
- Quarterly Operating Margin has moved between -13.62% (Q4 2021) and 47.12% (Q2 2026) over five years.
- Compared with a year earlier, Operating Margin has increased for seven straight quarters, with an average year-over-year change of +15.80 percentage points over the last eight quarters.
- The best year-over-year quarter for Operating Margin over five years was Q4 2025 (a gain of 39.57 percentage points); the worst was Q4 2024 (a drop of 9.48 percentage points).
- Per Business Quant data, PLTR's Operating Margin in the three quarters before Q3 2026 was 47.12% (Q2 2026), 46.18% (Q1 2026) and 40.90% (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 386.60 Bn | 351.42 Bn | 1.93 Bn | 46.89% |
| 2 | Oracle | 343.94 Bn | 216.07 Bn | - | 34.78% |
| 3 | Sap Se | 272.35 Bn | 199.75 Bn | 8.64 Bn | 28.53% |
| 4 | Salesforce | 175.46 Bn | 131.33 Bn | 8.70 Bn | 20.55% |
| 5 | Automatic Data Processing | 122.07 Bn | 108.86 Bn | 2.53 Bn | -30.06% |
| 6 | ServiceNow | 105.47 Bn | 84.73 Bn | 2.90 Bn | 9.38% |
| 7 | Intuit | 94.25 Bn | 73.60 Bn | 3.44 Bn | 10.91% |
| 8 | Relx | 73.66 Bn | 72.75 Bn | - | - |
| 9 | Strategy | 51.78 Bn | 38.91 Bn | 89.63 Mn | 16,670.89% |
| 10 | Thomson Reuters | 50.52 Bn | 46.49 Bn | - | 21.93% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 46.89% |
| Jun 30, 2026 | 47.12% |
| Mar 31, 2026 | 46.18% |
| Dec 31, 2025 | 40.90% |
| Sep 30, 2025 | 33.30% |
| Jun 30, 2025 | 26.83% |
| Mar 31, 2025 | 19.92% |
| Dec 31, 2024 | 1.33% |
| Sep 30, 2024 | 15.59% |
| Jun 30, 2024 | 15.53% |
| Mar 31, 2024 | 12.75% |
| Dec 31, 2023 | 10.82% |
| Sep 30, 2023 | 7.16% |
| Jun 30, 2023 | 1.89% |
| Mar 31, 2023 | 0.78% |
| Dec 31, 2022 | -3.50% |
| Sep 30, 2022 | -13.01% |
| Jun 30, 2022 | -8.83% |
| Mar 31, 2022 | -8.84% |
| Dec 31, 2021 | -13.62% |
API Access
Palantir Technologies Operating Margin API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=operating-margin&ticker=PLTR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "ticker": "PLTR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-margin&ticker=PLTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();