Salesforce (CRM) Return on Sales [ROS] (2009 - 2026)
Salesforce (CRM) recorded Return on Sales [ROS] of 20.55% in fiscal Q2 2027 (quarter ended Jul 31, 2026), down 2.24 percentage points from 22.78% a year earlier and down 0.53 percentage points from the prior quarter.
Salesforce (CRM) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a TTM basis, Salesforce's Return on Sales [ROS] came in at 19.88% as of Jul 31, 2026, down 0.34 percentage points year-over-year; for FY2026 (ended Jan 31, 2026), it was 20.06%, up 1.05 percentage points from FY2025.
- Annual Return on Sales [ROS] has increased for four straight fiscal years, with a five-year change of +17.92 percentage points (FY2021 to FY2026).
- Across earlier fiscal years, Return on Sales [ROS] came in at 19.01% in FY2025 (+4.64 pp), 14.38% in FY2024 (+11.09 pp), 3.29% in FY2023 (+1.22 pp) and 2.07% in FY2022 (-0.07 pp).
- Quarterly Return on Sales [ROS] has ranged from -2.40% in fiscal Q4 2022 to 22.78% in fiscal Q2 2026 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] rose in six of the last eight quarters, with an average year-over-year change of +0.89 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 14.66 percentage points in fiscal Q2 2024, against a drop of 5.72 percentage points in fiscal Q4 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 21.08% (Q1 2027), 16.69% (Q4 2026) and 21.33% (Q3 2026).
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
| Date | Value |
|---|---|
| Jul 31, 2026 | 20.55% |
| Apr 30, 2026 | 21.08% |
| Jan 31, 2026 | 16.69% |
| Oct 31, 2025 | 21.33% |
| Jul 31, 2025 | 22.78% |
| Apr 30, 2025 | 19.76% |
| Jan 31, 2025 | 18.21% |
| Oct 31, 2024 | 20.04% |
| Jul 31, 2024 | 19.12% |
| Apr 30, 2024 | 18.71% |
| Jan 31, 2024 | 17.47% |
| Oct 31, 2023 | 17.21% |
| Jul 31, 2023 | 17.16% |
| Apr 30, 2023 | 5.00% |
| Jan 31, 2023 | 4.26% |
| Oct 31, 2022 | 5.87% |
| Jul 31, 2022 | 2.50% |
| Apr 30, 2022 | 0.27% |
| Jan 31, 2022 | -2.40% |
| Oct 31, 2021 | 0.55% |
Salesforce 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=CRM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "CRM", "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=CRM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();