Palantir Technologies (PLTR) Gross Margin (2019 - 2026)
Palantir Technologies (PLTR) posted Gross Margin of 83.43% for Q3 2026, up 0.98 percentage points from 82.45% a year earlier but down 1.23 percentage points from the prior quarter.
Palantir Technologies (PLTR) Gross Margin (2019 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Gross Margin at Palantir Technologies was 84.74%, up 3.94 percentage points year-over-year; for FY2025, it came in at 82.37%, up 2.12 percentage points from FY2024.
- Annual Gross Margin shows a five-year change of +14.63 percentage points (FY2020 to FY2025).
- In prior years, Palantir Technologies' Gross Margin was 80.25% in FY2024 (-0.38 pp), 80.62% in FY2023 (+2.06 pp), 78.56% in FY2022 (+0.58 pp) and 77.99% in FY2021 (+10.25 pp).
- Quarterly Gross Margin has run from a low of 77.48% in Q3 2022 to a high of 86.78% in Q1 2026 over five years.
- On a year-over-year basis, Gross Margin has increased in each of the last five quarters, with an average year-over-year change of +1.86 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Gross Margin in the past five years was Q1 2026, with a gain of 6.35 percentage points; the weakest was Q4 2024, with a drop of 3.23 percentage points.
- According to Business Quant data, Gross Margin for the three prior quarters was 84.66% (Q2 2026), 86.78% (Q1 2026) and 84.65% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 386.60 Bn | 351.42 Bn | 1.93 Bn | 83.43% |
| 2 | Oracle | 343.94 Bn | 216.07 Bn | - | - |
| 3 | Sap Se | 272.35 Bn | 199.75 Bn | 8.64 Bn | 73.13% |
| 4 | Salesforce | 175.46 Bn | 131.33 Bn | 8.70 Bn | 76.65% |
| 5 | Automatic Data Processing | 122.07 Bn | 108.86 Bn | 2.53 Bn | 46.00% |
| 6 | ServiceNow | 105.47 Bn | 84.73 Bn | 2.90 Bn | 70.51% |
| 7 | Intuit | 94.25 Bn | 73.60 Bn | 3.44 Bn | 79.10% |
| 8 | Relx | 73.66 Bn | 72.75 Bn | - | - |
| 9 | Strategy | 51.78 Bn | 38.91 Bn | 89.63 Mn | 71.46% |
| 10 | Thomson Reuters | 50.52 Bn | 46.49 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 83.43% |
| Jun 30, 2026 | 84.66% |
| Mar 31, 2026 | 86.78% |
| Dec 31, 2025 | 84.65% |
| Sep 30, 2025 | 82.45% |
| Jun 30, 2025 | 80.78% |
| Mar 31, 2025 | 80.43% |
| Dec 31, 2024 | 78.91% |
| Sep 30, 2024 | 79.79% |
| Jun 30, 2024 | 81.04% |
| Mar 31, 2024 | 81.67% |
| Dec 31, 2023 | 82.14% |
| Sep 30, 2023 | 80.66% |
| Jun 30, 2023 | 79.96% |
| Mar 31, 2023 | 79.50% |
| Dec 31, 2022 | 79.49% |
| Sep 30, 2022 | 77.48% |
| Jun 30, 2022 | 78.39% |
| Mar 31, 2022 | 78.85% |
| Dec 31, 2021 | 79.77% |
Palantir Technologies Gross 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=gross-margin&ticker=PLTR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-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=gross-margin&ticker=PLTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();