Sap Se (SAP) Return on Sales [ROS] (2009 - 2026)
Sap Se (SAP) recorded Return on Sales [ROS] of 28.53% in Q3 2026, up 1.13 percentage points from 27.40% a year earlier and up 1.77 percentage points from the prior quarter.
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Analysis
Sap Se (SAP) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a TTM basis, Sap Se's Return on Sales [ROS] came in at 48.22% as of Sep 30, 2026, up 6.43 percentage points year-over-year; for FY2025, it was 26.13%, up 12.48 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of +1.91 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at 13.65% in FY2024 (-4.93 pp), 18.58% in FY2023 (+2.76 pp), 15.82% in FY2022 (-1.45 pp) and 17.27% in FY2021 (-6.95 pp).
- Quarterly Return on Sales [ROS] has ranged from -9.79% in Q1 2024 to 110.09% in Q4 2025 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] rose in seven of the last eight quarters, with an average year-over-year change of +10.76 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 52.10 percentage points in Q4 2023, against a drop of 20.58 percentage points in Q1 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at 26.76% (Q2 2026), 28.69% (Q1 2026) and 110.09% (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 | 28.53% |
| Jun 30, 2026 | 26.76% |
| Mar 31, 2026 | 28.69% |
| Dec 31, 2025 | 110.09% |
| Sep 30, 2025 | 27.40% |
| Jun 30, 2025 | 27.21% |
| Mar 31, 2025 | 25.88% |
| Dec 31, 2024 | 86.95% |
| Sep 30, 2024 | 26.14% |
| Jun 30, 2024 | 14.74% |
| Mar 31, 2024 | -9.79% |
| Dec 31, 2023 | 76.92% |
| Sep 30, 2023 | 22.25% |
| Jun 30, 2023 | 18.15% |
| Mar 31, 2023 | 10.79% |
| Dec 31, 2022 | 24.83% |
| Sep 30, 2022 | 20.83% |
| Jun 30, 2022 | 14.71% |
| Mar 31, 2022 | 21.72% |
| Dec 31, 2021 | 18.33% |
API Access
Sap Se 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=SAP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "SAP", "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=SAP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();