Palantir Technologies (PLTR) Return on Assets [ROA] (2020 - 2026)
Palantir Technologies' Return on Assets [ROA] came in at 27.71% for Q2 2026, up 16.75 percentage points from 10.96% a year earlier and up 3.69 percentage points from the prior quarter.
Palantir Technologies (PLTR) Return on Assets [ROA] (2020 - 2026) Analysis & Trends
For FY2025, Palantir Technologies' Return on Assets [ROA] was 21.45%, up 12.84 percentage points from FY2024.
- Return on Assets [ROA] has increased in each of the last five years, with a five-year change of +75.90 percentage points (FY2020 to FY2025).
- Going back by year, Return on Assets [ROA] was 8.61% in FY2024 (+3.17 pp), 5.45% in FY2023 (+16.51 pp), -11.06% in FY2022 (+6.46 pp) and -17.53% in FY2021 (+36.92 pp).
- The Q2 2026 figure represents the highest quarterly Return on Assets [ROA] in data going back to Q4 2020.
- Year-over-year, Return on Assets [ROA] has increased for 15 consecutive quarters, with an average year-over-year change of +7.70 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Assets [ROA] over five years came in Q1 2022 (a gain of 28.14 percentage points), and the weakest in Q3 2022 (a drop of 0.72 percentage points).
- Business Quant data shows PLTR's Return on Assets [ROA] at 24.01% (Q1 2026), 19.21% (Q4 2025) and 14.21% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 413.65 Bn | 378.59 Bn | 1.93 Bn | 29.40% |
| 2 | Oracle | 374.28 Bn | 246.84 Bn | - | 6.70% |
| 3 | Sap Se | 294.90 Bn | 222.88 Bn | 8.64 Bn | 11.18% |
| 4 | Salesforce | 186.99 Bn | 142.87 Bn | 8.70 Bn | 8.95% |
| 5 | Automatic Data Processing | 120.08 Bn | 106.87 Bn | 2.53 Bn | 7.15% |
| 6 | ServiceNow | 113.02 Bn | 92.28 Bn | 2.90 Bn | 4.55% |
| 7 | Intuit | 95.72 Bn | 75.07 Bn | 3.44 Bn | 12.00% |
| 8 | Relx | 74.73 Bn | 73.84 Bn | - | - |
| 9 | Strategy | 57.35 Bn | 44.49 Bn | 89.63 Mn | -21.07% |
| 10 | Thomson Reuters | 52.16 Bn | 48.13 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 29.40% |
| Jun 30, 2026 | 27.71% |
| Mar 31, 2026 | 24.01% |
| Dec 31, 2025 | 19.21% |
| Sep 30, 2025 | 14.21% |
| Jun 30, 2025 | 10.96% |
| Mar 31, 2025 | 8.86% |
| Dec 31, 2024 | 7.73% |
| Sep 30, 2024 | 8.90% |
| Jun 30, 2024 | 8.24% |
| Mar 31, 2024 | 6.52% |
| Dec 31, 2023 | 4.99% |
| Sep 30, 2023 | 3.77% |
| Jun 30, 2023 | -1.13% |
| Mar 31, 2023 | -7.01% |
| Dec 31, 2022 | -10.95% |
| Sep 30, 2022 | -16.99% |
| Jun 30, 2022 | -16.33% |
| Mar 31, 2022 | -15.18% |
| Dec 31, 2021 | -16.08% |
Palantir Technologies Return on Assets [ROA] 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-assets-%5Broa%5D&ticker=PLTR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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-assets-%5Broa%5D&ticker=PLTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();