Sprinklr (CXM) Total Liabilities (2021 - 2026)
Sprinklr (CXM) recorded Total Liabilities of $532.3 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), down 1.9% from $542.68 million a year earlier and down 7.2% from the prior quarter.
Sprinklr (CXM) Total Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Sprinklr reported Total Liabilities of $612.42 million, up 7.0% from FY2025.
- Annual Total Liabilities has increased for five straight fiscal years, with a five-year compound annual growth rate of 8.7% (FY2021 to FY2026).
- Across earlier fiscal years, Total Liabilities came in at $572.14 million in FY2025 (+5.3%), $543.41 million in FY2024 (+14.2%), $475.66 million in FY2023 (+17.7%) and $404.2 million in FY2022 (+0.3%).
- Quarterly Total Liabilities has ranged from $312.55 million in fiscal Q3 2022 to $612.42 million in fiscal Q4 2026 over the past five years.
- On a year-over-year basis, Total Liabilities rose in seven of the last eight quarters, with growth averaging 5.3%.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 32.1% in fiscal Q2 2023, against a decline of 1.9% in fiscal Q2 2027 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $573.39 million (Q1 2027), $612.42 million (Q4 2026) and $495.8 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 1.79 Bn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 236.06 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 35.29 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 71.24 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 19.15 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 57.16 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 17.79 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | 18.48 Bn |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 21.68 Bn |
| 10 | Sprinklr | 1.18 Bn | 435.58 Mn | 139.19 Mn | 532.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 532.30 Mn |
| Apr 30, 2026 | 573.39 Mn |
| Jan 31, 2026 | 612.42 Mn |
| Oct 31, 2025 | 495.80 Mn |
| Jul 31, 2025 | 542.68 Mn |
| Apr 30, 2025 | 549.74 Mn |
| Jan 31, 2025 | 572.14 Mn |
| Oct 31, 2024 | 473.28 Mn |
| Jul 31, 2024 | 514.83 Mn |
| Apr 30, 2024 | 513.18 Mn |
| Jan 31, 2024 | 543.41 Mn |
| Oct 31, 2023 | 429.51 Mn |
| Jul 31, 2023 | 455.37 Mn |
| Apr 30, 2023 | 445.17 Mn |
| Jan 31, 2023 | 475.66 Mn |
| Oct 31, 2022 | 379.57 Mn |
| Jul 31, 2022 | 403.27 Mn |
| Apr 30, 2022 | 393.82 Mn |
| Jan 31, 2022 | 404.20 Mn |
| Oct 31, 2021 | 312.55 Mn |
Sprinklr Total Liabilities 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=total-liabilities&ticker=CXM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=CXM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();