Cognyte Software (CGNT) Operating Expenses (2020 - 2026)
Cognyte Software's Operating Expenses was $74.98 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 11.9% from $67.02 million a year earlier and up 4.3% from the prior quarter.
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Analysis
Cognyte Software (CGNT) Operating Expenses (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Cognyte Software's Operating Expenses was $290.27 million through Jul 31, 2026, up 10.2% year-over-year; for FY2026 (ended Jan 31, 2026), it was $276.44 million, up 9.7% from FY2025.
- Operating Expenses shows a five-year compound annual growth rate of -1.1% (FY2021 to FY2026).
- In earlier fiscal years, Operating Expenses was $252.05 million in FY2025 (+8.0%), $233.46 million in FY2024 (-21.0%), $295.45 million in FY2023 (-10.7%) and $330.68 million in FY2022 (+13.0%).
- The fiscal Q2 2027 figure marks the highest quarterly Operating Expenses since fiscal Q2 2023.
- Compared with a year earlier, Operating Expenses has increased for ten straight quarters, with growth averaging 10.0% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was fiscal Q2 2027 (growth of 11.9%); the worst was fiscal Q1 2024 (a decline of 30.6%).
- Per Business Quant data, CGNT's Operating Expenses in the three fiscal quarters before Q2 2027 was $71.87 million (Q1 2027), $73.59 million (Q4 2026) and $69.84 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 726.59 Mn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 12.62 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | -8.41 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 6.37 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 2.66 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 4.34 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 3.88 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 8.41 Bn |
| 10 | Cognyte Software | 623.36 Mn | 212.69 Mn | 79.64 Mn | 74.98 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 74.98 Mn |
| Apr 30, 2026 | 71.87 Mn |
| Jan 31, 2026 | 73.59 Mn |
| Oct 31, 2025 | 69.84 Mn |
| Jul 31, 2025 | 67.02 Mn |
| Apr 30, 2025 | 65.99 Mn |
| Jan 31, 2025 | 66.34 Mn |
| Oct 31, 2024 | 64.03 Mn |
| Jul 31, 2024 | 61.01 Mn |
| Apr 30, 2024 | 60.66 Mn |
| Jan 31, 2024 | 60.21 Mn |
| Oct 31, 2023 | 58.11 Mn |
| Jul 31, 2023 | 58.50 Mn |
| Apr 30, 2023 | 56.64 Mn |
| Jan 31, 2023 | 65.77 Mn |
| Oct 31, 2022 | 70.21 Mn |
| Jul 31, 2022 | 77.84 Mn |
| Apr 30, 2022 | 81.63 Mn |
| Jan 31, 2022 | 85.39 Mn |
| Oct 31, 2021 | 78.84 Mn |
API Access
Cognyte Software Operating 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=operating-expenses&ticker=CGNT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=CGNT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();