Sprinklr (CXM) Change in Accured Expenses (2020 - 2026)
Sprinklr's Change in Accured Expenses was -$5.15 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), compared with $3.84 million a year earlier.
Powered by 
Analysis
Sprinklr (CXM) Change in Accured Expenses (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Sprinklr's Change in Accured Expenses was -$7.1 million through Jul 31, 2026; for FY2026 (ended Jan 31, 2026), it came in at $11.14 million.
- Change in Accured Expenses shows a five-year compound annual growth rate of -1.9% (FY2021 to FY2026).
- In earlier fiscal years, Change in Accured Expenses was -$12.49 million in FY2025, -$6.52 million in FY2024, $6.69 million in FY2023 (-73.8%) and $25.51 million in FY2022 (+107.6%).
- Quarterly Change in Accured Expenses has moved between -$30.71 million (fiscal Q1 2027) and $19.13 million (fiscal Q3 2026) over five years.
- Compared with a year earlier, Change in Accured Expenses was higher in four of the last five quarters, with growth averaging 93.6%.
- The best year-over-year quarter for Change in Accured Expenses over five years was fiscal Q3 2026 (growth of 302.4%); the worst was fiscal Q3 2024 (a decline of 89.6%).
- Per Business Quant data, CXM's Change in Accured Expenses in the three fiscal quarters before Q2 2027 was -$30.71 million (Q1 2027), $9.63 million (Q4 2026) and $19.13 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 453.55 Bn | 422.61 Bn | 1.64 Bn | 7.31 Mn |
| 2 | Oracle | 430.98 Bn | 303.54 Bn | - | -1.08 Bn |
| 3 | Sap Se | 256.23 Bn | 177.31 Bn | 8.40 Bn | - |
| 4 | Salesforce | 193.08 Bn | 148.96 Bn | 8.70 Bn | 891.00 Mn |
| 5 | ServiceNow | 138.94 Bn | 117.40 Bn | 2.82 Bn | 280.00 Mn |
| 6 | Automatic Data Processing | 102.51 Bn | 84.63 Bn | 2.51 Bn | 200.00 Mn |
| 7 | Intuit | 75.44 Bn | 54.79 Bn | 3.44 Bn | 304.00 Mn |
| 8 | Relx | 60.79 Bn | 57.76 Bn | - | - |
| 9 | Strategy | 56.32 Bn | 49.31 Bn | 81.55 Mn | -2.04 Mn |
| 10 | Sprinklr | 1.23 Bn | 485.36 Mn | 139.19 Mn | -5.15 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | -5.15 Mn |
| Apr 30, 2026 | -30.71 Mn |
| Jan 31, 2026 | 9.63 Mn |
| Oct 31, 2025 | 19.13 Mn |
| Jul 31, 2025 | 3.84 Mn |
| Apr 30, 2025 | -21.46 Mn |
| Jan 31, 2025 | 9.44 Mn |
| Oct 31, 2024 | 4.75 Mn |
| Jul 31, 2024 | 2.44 Mn |
| Apr 30, 2024 | -29.13 Mn |
| Jan 31, 2024 | 17.23 Mn |
| Oct 31, 2023 | 1.89 Mn |
| Jul 31, 2023 | -5.48 Mn |
| Apr 30, 2023 | -20.15 Mn |
| Jan 31, 2023 | 7.31 Mn |
| Oct 31, 2022 | 18.09 Mn |
| Jul 31, 2022 | -7.39 Mn |
| Apr 30, 2022 | -11.32 Mn |
| Jan 31, 2022 | 9.10 Mn |
| Oct 31, 2021 | 18.74 Mn |
API Access
Sprinklr Change in Accured 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=change-in-accured-expenses&ticker=CXM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=CXM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();