Sprinklr (CXM) Return on Sales [ROS] (2020 - 2026)
Sprinklr (CXM) reported Return on Sales [ROS] of 4.66% for fiscal Q2 2027 (quarter ended Jul 31, 2026), down 3.02 percentage points from 7.67% a year earlier and down 0.18 percentage points from the prior quarter.
Sprinklr (CXM) Return on Sales [ROS] (2020 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, Sprinklr's Return on Sales [ROS] came in at 5.30%, up 1.30 percentage points year-over-year; for FY2026 (ended Jan 31, 2026), it was 4.69%, up 1.68 percentage points from FY2025.
- Return on Sales [ROS] has a five-year change of +11.30 percentage points (FY2021 to FY2026).
- By fiscal year, Return on Sales [ROS] came in at 3.01% in FY2025 (-1.63 pp), 4.64% in FY2024 (+12.92 pp), -8.29% in FY2023 (+11.92 pp) and -20.20% in FY2022 (-13.59 pp).
- The fiscal Q2 2027 figure ranks as the lowest quarterly Return on Sales [ROS] since fiscal Q1 2026.
- Year over year, Return on Sales [ROS] gained in four of the last eight quarters, with an average year-over-year change of +0.22 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was fiscal Q4 2023 (a gain of 25.29 percentage points); the low point was fiscal Q4 2022 (a drop of 19.42 percentage points).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at 4.83% (Q1 2027), 6.42% (Q4 2026) and 5.27% (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 406.71 Bn | 371.66 Bn | 1.93 Bn | 46.89% |
| 2 | Oracle | 356.71 Bn | 229.27 Bn | 18.57 Bn | 34.78% |
| 3 | Sap Se | 287.26 Bn | 215.24 Bn | 8.64 Bn | 28.53% |
| 4 | Salesforce | 175.69 Bn | 131.56 Bn | 8.70 Bn | 20.55% |
| 5 | Automatic Data Processing | 120.83 Bn | 107.63 Bn | 2.53 Bn | -30.06% |
| 6 | ServiceNow | 103.38 Bn | 82.65 Bn | 2.90 Bn | 9.38% |
| 7 | Intuit | 91.37 Bn | 70.72 Bn | 3.44 Bn | 10.91% |
| 8 | Relx | 72.62 Bn | 72.62 Bn | - | - |
| 9 | Strategy | 48.71 Bn | 35.85 Bn | 89.63 Mn | 16,670.89% |
| 10 | Sprinklr | 1.55 Bn | 800.64 Mn | 139.19 Mn | 4.66% |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 4.66% |
| Apr 30, 2026 | 4.83% |
| Jan 31, 2026 | 6.42% |
| Oct 31, 2025 | 5.27% |
| Jul 31, 2025 | 7.67% |
| Apr 30, 2025 | -0.85% |
| Jan 31, 2025 | 5.16% |
| Oct 31, 2024 | 3.93% |
| Jul 31, 2024 | -0.04% |
| Apr 30, 2024 | 2.91% |
| Jan 31, 2024 | 9.51% |
| Oct 31, 2023 | 7.08% |
| Jul 31, 2023 | 3.08% |
| Apr 30, 2023 | -1.84% |
| Jan 31, 2023 | -1.10% |
| Oct 31, 2022 | -2.93% |
| Jul 31, 2022 | -14.39% |
| Apr 30, 2022 | -15.95% |
| Jan 31, 2022 | -26.39% |
| Oct 31, 2021 | -19.49% |
Sprinklr 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=CXM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "CXM", "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=CXM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();