Palantir Technologies (PLTR) Return on Sales [ROS] (2019 - 2026)
Palantir Technologies' Return on Sales [ROS] 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) Return on Sales [ROS] (2019 - 2026) Analysis & Trends
On a trailing twelve-month basis, Palantir Technologies' Return on Sales [ROS] 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.
- Return on Sales [ROS] has now increased for five consecutive years, with a five-year change of +139.01 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] 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 Return on Sales [ROS] has moved between -13.62% (Q4 2021) and 47.12% (Q2 2026) over five years.
- Compared with a year earlier, Return on Sales [ROS] 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 Return on Sales [ROS] 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 Return on Sales [ROS] 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) | ROS (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 Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=PLTR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=PLTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();