Sprinklr (CXM) Other Non-Current Liabilities (2021 - 2026)
Sprinklr's Other Non-Current Liabilities was $6.38 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), down 7.7% from $6.92 million a year earlier but up 13.1% from the prior quarter.
Sprinklr (CXM) Other Non-Current Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Other Non-Current Liabilities at Sprinklr came in at $7.2 million, up 2.4% from FY2025.
- Other Non-Current Liabilities has now increased for five consecutive fiscal years, with a five-year compound annual growth rate of 29.1% (FY2021 to FY2026).
- In earlier fiscal years, Other Non-Current Liabilities was $7.03 million in FY2025 (+23.3%), $5.7 million in FY2024 (+27.7%), $4.47 million in FY2023 (+64.2%) and $2.72 million in FY2022 (+35.6%).
- Quarterly Other Non-Current Liabilities has moved between $1.37 million (fiscal Q3 2023) and $7.44 million (fiscal Q3 2026) over five years.
- Compared with a year earlier, Other Non-Current Liabilities was higher in six of the last eight quarters, with growth averaging 9.9%.
- The best year-over-year quarter for Other Non-Current Liabilities over five years was fiscal Q2 2024 (growth of 267.5%); the worst was fiscal Q3 2023 (a decline of 42.3%).
- Per Business Quant data, CXM's Other Non-Current Liabilities in the three fiscal quarters before Q2 2027 was $5.64 million (Q1 2027), $7.2 million (Q4 2026) and $7.44 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 449.46 Bn | 418.52 Bn | 1.64 Bn |
| 2 | Oracle | 415.29 Bn | 287.84 Bn | - |
| 3 | Sap Se | 256.30 Bn | 177.39 Bn | 8.40 Bn |
| 4 | Salesforce | 188.94 Bn | 144.82 Bn | 8.70 Bn |
| 5 | ServiceNow | 138.57 Bn | 117.03 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 102.66 Bn | 84.78 Bn | 2.51 Bn |
| 7 | Intuit | 74.00 Bn | 53.35 Bn | 3.44 Bn |
| 8 | Relx | 60.34 Bn | 57.31 Bn | - |
| 9 | Strategy | 53.88 Bn | 46.87 Bn | 81.55 Mn |
| 10 | Sprinklr | 1.17 Bn | 426.10 Mn | 139.19 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 6.38 Mn |
| Apr 30, 2026 | 5.64 Mn |
| Jan 31, 2026 | 7.20 Mn |
| Oct 31, 2025 | 7.44 Mn |
| Jul 31, 2025 | 6.92 Mn |
| Apr 30, 2025 | 7.01 Mn |
| Jan 31, 2025 | 7.03 Mn |
| Oct 31, 2024 | 6.28 Mn |
| Jul 31, 2024 | 6.12 Mn |
| Apr 30, 2024 | 5.74 Mn |
| Jan 31, 2024 | 5.70 Mn |
| Oct 31, 2023 | 4.93 Mn |
| Jul 31, 2023 | 5.19 Mn |
| Apr 30, 2023 | 4.86 Mn |
| Jan 31, 2023 | 4.47 Mn |
| Oct 31, 2022 | 1.37 Mn |
| Jul 31, 2022 | 1.41 Mn |
| Apr 30, 2022 | 1.44 Mn |
| Jan 31, 2022 | 2.72 Mn |
| Oct 31, 2021 | 2.37 Mn |
Sprinklr Other Non-Current 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=other-non-current-liabilities&ticker=CXM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-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=other-non-current-liabilities&ticker=CXM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();