Sprinklr (CXM) Change in Accrued 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.
Sprinklr (CXM) Change in Accrued 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 Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 406.71 Bn | 371.66 Bn | 1.93 Bn | 116.14 Mn |
| 2 | Oracle | 356.71 Bn | 229.27 Bn | 18.57 Bn | -1.08 Bn |
| 3 | Sap Se | 287.26 Bn | 215.24 Bn | 8.64 Bn | 791.49 Mn |
| 4 | Salesforce | 175.69 Bn | 131.56 Bn | 8.70 Bn | 891.00 Mn |
| 5 | Automatic Data Processing | 120.83 Bn | 107.63 Bn | 2.53 Bn | -389.40 Mn |
| 6 | ServiceNow | 103.38 Bn | 82.65 Bn | 2.90 Bn | 37.00 Mn |
| 7 | Intuit | 91.37 Bn | 70.72 Bn | 3.44 Bn | 304.00 Mn |
| 8 | Relx | 72.62 Bn | 72.62 Bn | - | - |
| 9 | Strategy | 48.71 Bn | 35.85 Bn | 89.63 Mn | -4.08 Mn |
| 10 | Sprinklr | 1.55 Bn | 800.64 Mn | 139.19 Mn | -5.15 Mn |
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 |
Sprinklr Change in Accrued 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_KEY
import 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();