Sprinklr (CXM) Other Operating Expenses (2020 - 2026)
Sprinklr (CXM) posted Other Operating Expenses of $70.93 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 0.5% from $70.58 million a year earlier but down 5.3% from the prior quarter.
Sprinklr (CXM) Other Operating Expenses (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jul 31, 2026, Other Operating Expenses at Sprinklr was $291.88 million, down 1.5% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $287.64 million, down 10.0% from FY2025.
- Annual Other Operating Expenses shows a four-year compound annual growth rate of 121.3% (FY2022 to FY2026).
- In prior fiscal years, Sprinklr's Other Operating Expenses was $319.62 million in FY2025 and $12 million in FY2022.
- Quarterly Other Operating Expenses has run from a low of $70.58 million in fiscal Q2 2026 to a high of $94.39 million in fiscal Q4 2022 over five years.
- On a year-over-year basis, Other Operating Expenses increased in three of the last eight quarters, with an average decline of 3.8%.
- The strongest year-over-year quarter for Other Operating Expenses in the past five years was fiscal Q4 2022, with growth of 93.7%; the weakest was fiscal Q1 2026, with a decline of 18.8%.
- According to Business Quant data, Other Operating Expenses for the three prior fiscal quarters was $74.93 million (Q1 2027), $71.02 million (Q4 2026) and $75.01 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 406.71 Bn | 371.66 Bn | 1.93 Bn |
| 2 | Oracle | 356.71 Bn | 229.27 Bn | 18.57 Bn |
| 3 | Sap Se | 287.26 Bn | 215.24 Bn | 8.64 Bn |
| 4 | Salesforce | 175.69 Bn | 131.56 Bn | 8.70 Bn |
| 5 | Automatic Data Processing | 120.83 Bn | 107.63 Bn | 2.53 Bn |
| 6 | ServiceNow | 103.38 Bn | 82.65 Bn | 2.90 Bn |
| 7 | Intuit | 91.37 Bn | 70.72 Bn | 3.44 Bn |
| 8 | Relx | 72.62 Bn | 72.62 Bn | - |
| 9 | Strategy | 48.71 Bn | 35.85 Bn | 89.63 Mn |
| 10 | Sprinklr | 1.55 Bn | 800.64 Mn | 139.19 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 70.93 Mn |
| Apr 30, 2026 | 74.93 Mn |
| Jan 31, 2026 | 27.90 Mn |
| Oct 31, 2025 | 28.18 Mn |
| Jul 31, 2025 | 24.26 Mn |
| Apr 30, 2025 | 20.45 Mn |
| Jan 31, 2025 | 20.68 Mn |
| Oct 31, 2024 | 22.13 Mn |
| Jul 31, 2024 | 19.66 Mn |
| Apr 30, 2024 | 18.56 Mn |
| Jan 31, 2024 | -46.72 Mn |
| Oct 31, 2023 | 16.57 Mn |
| Jul 31, 2023 | 15.68 Mn |
| Apr 30, 2023 | 14.46 Mn |
| Jan 31, 2023 | -47.64 Mn |
| Oct 31, 2022 | 14.27 Mn |
| Jul 31, 2022 | 16.76 Mn |
| Apr 30, 2022 | 16.61 Mn |
| Jan 31, 2022 | -29.52 Mn |
| Oct 31, 2021 | 15.87 Mn |
Sprinklr Other Operating Expenses 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=other-operating-expenses&ticker=CXM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=CXM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();