Sprinklr (CXM) Accumulated Expenses (2021 - 2026)
Sprinklr's Accumulated Expenses was $59.05 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), down 5.1% from $62.21 million a year earlier and down 10.4% from the prior quarter.
Sprinklr (CXM) Accumulated Expenses (2021 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Accumulated Expenses at Sprinklr came in at $91.54 million, up 15.5% from FY2025.
- Accumulated Expenses shows a five-year compound annual growth rate of 7.7% (FY2021 to FY2026).
- In earlier fiscal years, Accumulated Expenses was $79.29 million in FY2025 (-14.9%), $93.19 million in FY2024 (-4.4%), $97.52 million in FY2023 (-2.7%) and $100.22 million in FY2022 (+58.7%).
- The fiscal Q2 2027 figure marks the lowest quarterly Accumulated Expenses since fiscal Q1 2026.
- Compared with a year earlier, Accumulated Expenses was higher in three of the last eight quarters, with growth averaging 1.1%.
- The best year-over-year quarter for Accumulated Expenses over five years was fiscal Q4 2022 (growth of 58.7%); the worst was fiscal Q3 2024 (a decline of 17.6%).
- Per Business Quant data, CXM's Accumulated Expenses in the three fiscal quarters before Q2 2027 was $65.89 million (Q1 2027), $91.54 million (Q4 2026) and $80.92 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 456.65 Bn | 425.71 Bn | 1.64 Bn |
| 2 | Oracle | 417.55 Bn | 290.11 Bn | - |
| 3 | Sap Se | 259.04 Bn | 180.13 Bn | 8.40 Bn |
| 4 | Salesforce | 194.78 Bn | 150.65 Bn | 8.70 Bn |
| 5 | ServiceNow | 142.47 Bn | 120.93 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 105.00 Bn | 87.13 Bn | 2.51 Bn |
| 7 | Intuit | 75.89 Bn | 55.24 Bn | 3.44 Bn |
| 8 | Relx | 60.92 Bn | 57.89 Bn | - |
| 9 | Strategy | 56.49 Bn | 49.48 Bn | 81.55 Mn |
| 10 | Sprinklr | 1.24 Bn | 490.10 Mn | 139.19 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 59.05 Mn |
| Apr 30, 2026 | 65.89 Mn |
| Jan 31, 2026 | 91.54 Mn |
| Oct 31, 2025 | 80.92 Mn |
| Jul 31, 2025 | 62.21 Mn |
| Apr 30, 2025 | 56.47 Mn |
| Jan 31, 2025 | 79.29 Mn |
| Oct 31, 2024 | 67.92 Mn |
| Jul 31, 2024 | 64.37 Mn |
| Apr 30, 2024 | 64.27 Mn |
| Jan 31, 2024 | 93.19 Mn |
| Oct 31, 2023 | 72.78 Mn |
| Jul 31, 2023 | 70.80 Mn |
| Apr 30, 2023 | 77.08 Mn |
| Jan 31, 2023 | 97.52 Mn |
| Oct 31, 2022 | 88.37 Mn |
| Jul 31, 2022 | 69.94 Mn |
| Apr 30, 2022 | 76.24 Mn |
| Jan 31, 2022 | 100.22 Mn |
| Oct 31, 2021 | 78.23 Mn |
Sprinklr Accumulated 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=accumulated-expenses&ticker=CXM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=CXM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();