Cognyte Software (CGNT) Total Liabilities (2020 - 2026)
Cognyte Software's Total Liabilities was $286.36 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 8.9% from $262.89 million a year earlier but down 6.0% from the prior quarter.
Cognyte Software (CGNT) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Total Liabilities at Cognyte Software came in at $292.2 million, up 4.1% from FY2025.
- Total Liabilities has now increased for three consecutive fiscal years, though with a five-year compound annual growth rate of -4.0% (FY2021 to FY2026).
- In earlier fiscal years, Total Liabilities was $280.72 million in FY2025 (+9.1%), $257.35 million in FY2024 (+10.3%), $233.3 million in FY2023 (-36.2%) and $365.52 million in FY2022 (+2.0%).
- Quarterly Total Liabilities has moved between $230.94 million (fiscal Q2 2024) and $365.52 million (fiscal Q4 2022) over five years.
- Compared with a year earlier, Total Liabilities has increased for 11 straight quarters, with growth averaging 8.2% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was fiscal Q3 2025 (growth of 19.0%); the worst was fiscal Q4 2023 (a decline of 36.2%).
- Per Business Quant data, CGNT's Total Liabilities in the three fiscal quarters before Q2 2027 was $304.69 million (Q1 2027), $292.2 million (Q4 2026) and $287.38 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 | Cognyte Software | 623.36 Mn | 212.69 Mn | 79.64 Mn | 286.36 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 286.36 Mn |
| Apr 30, 2026 | 304.69 Mn |
| Jan 31, 2026 | 292.20 Mn |
| Oct 31, 2025 | 287.38 Mn |
| Jul 31, 2025 | 262.89 Mn |
| Apr 30, 2025 | 275.71 Mn |
| Jan 31, 2025 | 280.72 Mn |
| Oct 31, 2024 | 284.42 Mn |
| Jul 31, 2024 | 250.76 Mn |
| Apr 30, 2024 | 255.21 Mn |
| Jan 31, 2024 | 257.35 Mn |
| Oct 31, 2023 | 239.11 Mn |
| Jul 31, 2023 | 230.94 Mn |
| Apr 30, 2023 | 235.19 Mn |
| Jan 31, 2023 | 233.30 Mn |
| Oct 31, 2022 | 279.32 Mn |
| Jul 31, 2022 | 259.19 Mn |
| Apr 30, 2022 | 312.91 Mn |
| Jan 31, 2022 | 365.52 Mn |
| Oct 31, 2021 | 263.33 Mn |
Cognyte Software 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=CGNT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "CGNT", "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=CGNT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();