Sprinklr (CXM) Gross Margin (2020 - 2026)
Sprinklr's Gross Margin was 65.12% in fiscal Q2 2027 (quarter ended Jul 31, 2026), down 3.07 percentage points from 68.20% a year earlier and down 0.05 percentage points from the prior quarter.
Sprinklr (CXM) Gross Margin (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Sprinklr's Gross Margin was 65.59% through Jul 31, 2026, down 4.35 percentage points year-over-year; for FY2026 (ended Jan 31, 2026), it was 67.40%, down 4.75 percentage points from FY2025.
- Gross Margin shows a five-year change of -1.05 percentage points (FY2021 to FY2026).
- In earlier fiscal years, Gross Margin was 72.15% in FY2025 (-3.35 pp), 75.50% in FY2024 (+1.99 pp), 73.52% in FY2023 (+3.48 pp) and 70.03% in FY2022 (+1.59 pp).
- The fiscal Q2 2027 figure marks the lowest quarterly Gross Margin in data going back to fiscal Q2 2021.
- Compared with a year earlier, Gross Margin has declined for 11 straight quarters, with an average year-over-year change of -4.35 percentage points over the last eight quarters.
- The best year-over-year quarter for Gross Margin over five years was fiscal Q4 2023 (a gain of 5.55 percentage points); the worst was fiscal Q4 2026 (a drop of 5.31 percentage points).
- Per Business Quant data, CXM's Gross Margin in the three fiscal quarters before Q2 2027 was 65.17% (Q1 2027), 65.65% (Q4 2026) and 66.41% (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 449.46 Bn | 418.52 Bn | 1.64 Bn | 84.66% |
| 2 | Oracle | 415.29 Bn | 287.84 Bn | - | - |
| 3 | Sap Se | 256.30 Bn | 177.39 Bn | 8.40 Bn | 73.17% |
| 4 | Salesforce | 188.94 Bn | 144.82 Bn | 8.70 Bn | 76.65% |
| 5 | ServiceNow | 138.57 Bn | 117.03 Bn | 2.82 Bn | 70.68% |
| 6 | Automatic Data Processing | 102.66 Bn | 84.78 Bn | 2.51 Bn | 45.88% |
| 7 | Intuit | 74.00 Bn | 53.35 Bn | 3.44 Bn | 79.10% |
| 8 | Relx | 60.34 Bn | 57.31 Bn | - | - |
| 9 | Strategy | 53.88 Bn | 46.87 Bn | 81.55 Mn | 66.64% |
| 10 | Sprinklr | 1.17 Bn | 426.10 Mn | 139.19 Mn | 65.12% |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 65.12% |
| Apr 30, 2026 | 65.17% |
| Jan 31, 2026 | 65.65% |
| Oct 31, 2025 | 66.41% |
| Jul 31, 2025 | 68.20% |
| Apr 30, 2025 | 69.52% |
| Jan 31, 2025 | 70.96% |
| Oct 31, 2024 | 71.17% |
| Jul 31, 2024 | 72.63% |
| Apr 30, 2024 | 73.91% |
| Jan 31, 2024 | 75.52% |
| Oct 31, 2023 | 75.07% |
| Jul 31, 2023 | 75.64% |
| Apr 30, 2023 | 75.81% |
| Jan 31, 2023 | 76.21% |
| Oct 31, 2022 | 74.23% |
| Jul 31, 2022 | 72.01% |
| Apr 30, 2022 | 71.22% |
| Jan 31, 2022 | 70.66% |
| Oct 31, 2021 | 69.54% |
Sprinklr Gross Margin 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=gross-margin&ticker=CXM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-margin", "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=gross-margin&ticker=CXM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();