Palantir Technologies (PLTR) Return on Capital Employed [ROCE] (2020 - 2026)
Palantir Technologies (PLTR) recorded Return on Capital Employed [ROCE] of 28.02% in Q2 2026, up 18.46 percentage points from 9.55% a year earlier and up 3.63 percentage points from the prior quarter.
Palantir Technologies (PLTR) Return on Capital Employed [ROCE] (2020 - 2026) Analysis & Trends
For FY2025, Palantir Technologies reported Return on Capital Employed [ROCE] of 21.94%, up 14.94 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] has increased for five straight years, with a five-year change of +98.23 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Capital Employed [ROCE] came in at 7.00% in FY2024 (+3.30 pp), 3.70% in FY2023 (+9.52 pp), -5.83% in FY2022 (+11.98 pp) and -17.80% in FY2021 (+58.49 pp).
- The Q2 2026 figure is the highest quarterly Return on Capital Employed [ROCE] in data going back to Q4 2020.
- On a year-over-year basis, Return on Capital Employed [ROCE] has increased for 19 consecutive quarters, with an average year-over-year change of +8.53 percentage points over the last eight quarters.
- Across the past five years, year-over-year gain in Return on Capital Employed [ROCE] ran from 2.25 percentage points in Q1 2025 to 44.72 percentage points in Q2 2022.
- Per Business Quant, the preceding three quarters came in at 24.39% (Q1 2026), 19.29% (Q4 2025) and 12.95% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 456.40 Bn | 425.35 Bn | 1.64 Bn | 28.02% |
| 2 | Oracle | 382.94 Bn | 255.07 Bn | - | 9.81% |
| 3 | Sap Se | 261.10 Bn | 188.88 Bn | 8.40 Bn | 34.43% |
| 4 | Salesforce | 194.91 Bn | 150.78 Bn | 8.70 Bn | 10.68% |
| 5 | ServiceNow | 145.90 Bn | 124.36 Bn | 2.82 Bn | 10.59% |
| 6 | Automatic Data Processing | 115.58 Bn | 97.71 Bn | 2.51 Bn | -46.62% |
| 7 | Intuit | 89.20 Bn | 68.55 Bn | 3.44 Bn | 21.09% |
| 8 | Relx | 71.58 Bn | 70.67 Bn | - | - |
| 9 | Strategy | 50.00 Bn | 42.99 Bn | 81.55 Mn | -68.70% |
| 10 | Thomson Reuters | 48.62 Bn | 45.40 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 28.02% |
| Mar 31, 2026 | 24.39% |
| Dec 31, 2025 | 19.29% |
| Sep 30, 2025 | 12.95% |
| Jun 30, 2025 | 9.55% |
| Mar 31, 2025 | 7.28% |
| Dec 31, 2024 | 6.14% |
| Sep 30, 2024 | 8.05% |
| Jun 30, 2024 | 6.96% |
| Mar 31, 2024 | 5.03% |
| Dec 31, 2023 | 3.32% |
| Sep 30, 2023 | 1.07% |
| Jun 30, 2023 | -2.09% |
| Mar 31, 2023 | -3.96% |
| Dec 31, 2022 | -5.75% |
| Sep 30, 2022 | -7.75% |
| Jun 30, 2022 | -8.81% |
| Mar 31, 2022 | -12.87% |
| Dec 31, 2021 | -15.96% |
| Sep 30, 2021 | -20.61% |
Palantir Technologies Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=PLTR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=PLTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();