Sprinklr (CXM) Revenue (2020 - 2026)
Sprinklr's Revenue was $213.74 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 0.8% from $212.04 million a year earlier but down 2.6% from the prior quarter.
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Analysis
Sprinklr (CXM) Revenue (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Sprinklr's Revenue was $872.88 million through Jul 31, 2026, up 6.3% year-over-year; for FY2026 (ended Jan 31, 2026), it was $857.2 million, up 7.6% from FY2025.
- Revenue has now increased for six consecutive fiscal years, with a five-year compound annual growth rate of 17.2% (FY2021 to FY2026).
- In earlier fiscal years, Revenue was $796.39 million in FY2025 (+8.7%), $732.36 million in FY2024 (+18.5%), $618.19 million in FY2023 (+25.5%) and $492.39 million in FY2022 (+27.3%).
- Quarterly Revenue has moved between $127.06 million (fiscal Q3 2022) and $220.59 million (fiscal Q4 2026) over five years.
- Compared with a year earlier, Revenue has increased for 21 straight quarters, with growth averaging 6.3% over the last eight quarters.
- Across the past five years, year-over-year growth in Revenue ran from 0.8% in fiscal Q2 2027 to 31.9% in fiscal Q3 2022.
- Per Business Quant data, CXM's Revenue in the three fiscal quarters before Q2 2027 was $219.48 million (Q1 2027), $220.59 million (Q4 2026) and $219.07 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 449.46 Bn | 418.52 Bn | 1.64 Bn | 1.94 Bn |
| 2 | Oracle | 415.29 Bn | 287.84 Bn | - | 19.35 Bn |
| 3 | Sap Se | 256.30 Bn | 177.39 Bn | 8.40 Bn | 11.48 Bn |
| 4 | Salesforce | 188.94 Bn | 144.82 Bn | 8.70 Bn | 11.35 Bn |
| 5 | ServiceNow | 138.57 Bn | 117.03 Bn | 2.82 Bn | 3.99 Bn |
| 6 | Automatic Data Processing | 102.66 Bn | 84.78 Bn | 2.51 Bn | 5.47 Bn |
| 7 | Intuit | 74.00 Bn | 53.35 Bn | 3.44 Bn | 4.35 Bn |
| 8 | Relx | 60.34 Bn | 57.31 Bn | - | - |
| 9 | Strategy | 53.88 Bn | 46.87 Bn | 81.55 Mn | 122.37 Mn |
| 10 | Sprinklr | 1.17 Bn | 426.10 Mn | 139.19 Mn | 213.74 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 213.74 Mn |
| Apr 30, 2026 | 219.48 Mn |
| Jan 31, 2026 | 220.59 Mn |
| Oct 31, 2025 | 219.07 Mn |
| Jul 31, 2025 | 212.04 Mn |
| Apr 30, 2025 | 205.50 Mn |
| Jan 31, 2025 | 202.54 Mn |
| Oct 31, 2024 | 200.69 Mn |
| Jul 31, 2024 | 197.21 Mn |
| Apr 30, 2024 | 195.96 Mn |
| Jan 31, 2024 | 194.21 Mn |
| Oct 31, 2023 | 186.33 Mn |
| Jul 31, 2023 | 178.47 Mn |
| Apr 30, 2023 | 173.36 Mn |
| Jan 31, 2023 | 165.33 Mn |
| Oct 31, 2022 | 157.25 Mn |
| Jul 31, 2022 | 150.63 Mn |
| Apr 30, 2022 | 144.98 Mn |
| Jan 31, 2022 | 135.67 Mn |
| Oct 31, 2021 | 127.06 Mn |
API Access
Sprinklr Revenue 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=revenue&ticker=CXM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=CXM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();