Cognyte Software (CGNT) Receivables - Net (2020 - 2026)
Cognyte Software's Receivables - Net was -$11.26 million in fiscal Q1 2027 (quarter ended Apr 30, 2026), compared with $257,000 a year earlier.
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Analysis
Cognyte Software (CGNT) Receivables - Net (2020 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Receivables - Net at Cognyte Software came in at $122.55 million, up 12.0% from FY2025.
- Receivables - Net shows a five-year compound annual growth rate of -6.9% (FY2021 to FY2026).
- In earlier fiscal years, Receivables - Net was $109.37 million in FY2025 (-3.4%), $113.26 million in FY2024 (+0.1%), $113.2 million in FY2023 (-36.8%) and $179.2 million in FY2022 (+2.4%).
- The fiscal Q1 2027 figure marks the lowest quarterly Receivables - Net in data going back to fiscal Q4 2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 478.65 Bn | 447.59 Bn | 1.64 Bn |
| 2 | Oracle | 385.64 Bn | 257.77 Bn | - |
| 3 | Sap Se | 269.00 Bn | 196.78 Bn | 8.40 Bn |
| 4 | Salesforce | 199.16 Bn | 155.03 Bn | 8.70 Bn |
| 5 | ServiceNow | 157.92 Bn | 136.38 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 118.30 Bn | 100.43 Bn | 2.51 Bn |
| 7 | Intuit | 92.02 Bn | 71.37 Bn | 3.44 Bn |
| 8 | Relx | 71.21 Bn | 70.30 Bn | - |
| 9 | Strategy | 54.50 Bn | 47.49 Bn | 81.55 Mn |
| 10 | Cognyte Software | 671.87 Mn | 237.05 Mn | 79.64 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jan 31, 2026 | 122.55 Mn |
| Jan 31, 2025 | 109.37 Mn |
| Jan 31, 2024 | 113.26 Mn |
| Apr 30, 2023 | 103.64 Bn |
| Jan 31, 2023 | 113.20 Mn |
| Jan 31, 2022 | 179.20 Mn |
| Jan 31, 2021 | 175.00 Mn |
| Jan 31, 2020 | 180.44 Mn |
API Access
Cognyte Software Receivables - Net 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=receivables-net&ticker=CGNT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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=receivables-net&ticker=CGNT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();