Gen Digital (GEN) Operating Expenses (2009 - 2026)
Gen Digital (GEN) reported Operating Expenses of $586 million for fiscal Q1 2027 (quarter ended Jul 3, 2026), up 7.7% from $544 million a year earlier and up 187.3% from the prior quarter.
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Analysis
Gen Digital (GEN) Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jul 3, 2026, Gen Digital's Operating Expenses came in at $1.85 billion, up 6.3% year-over-year; for FY2026 (ended Apr 3, 2026), it was $1.8 billion, up 16.4% from FY2025.
- Operating Expenses has a five-year compound annual growth rate of 6.9% (FY2021 to FY2026).
- By fiscal year, Operating Expenses came in at $1.55 billion in FY2025 (-20.9%), $1.96 billion in FY2024 (+28.7%), $1.52 billion in FY2023 (+10.1%) and $1.38 billion in FY2022 (+7.0%).
- The fiscal Q1 2027 figure ranks as the highest quarterly Operating Expenses since fiscal Q2 2024.
- Year over year, Operating Expenses gained in five of the last eight quarters, with growth averaging 3.6%.
- The high point for year-over-year Operating Expenses in five years was fiscal Q2 2024 (growth of 91.5%); the low point was fiscal Q2 2025 (a decline of 49.1%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $204 million (Q4 2026), $539 million (Q3 2026) and $516 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 2.13 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 1.13 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 953.90 Mn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 1.30 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 875.89 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 499.67 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 534.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 4.17 Bn |
| 10 | Gen Digital | 12.49 Bn | 10.19 Bn | 1.03 Bn | 586.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 586.00 Mn |
| Apr 3, 2026 | 204.00 Mn |
| Jan 2, 2026 | 539.00 Mn |
| Oct 3, 2025 | 516.00 Mn |
| Jul 4, 2025 | 544.00 Mn |
| Mar 28, 2025 | 394.00 Mn |
| Dec 27, 2024 | 419.00 Mn |
| Sep 27, 2024 | 378.00 Mn |
| Jun 28, 2024 | 358.00 Mn |
| Mar 29, 2024 | 377.00 Mn |
| Dec 29, 2023 | 434.00 Mn |
| Sep 29, 2023 | 743.00 Mn |
| Jun 30, 2023 | 405.00 Mn |
| Mar 31, 2023 | 400.00 Mn |
| Dec 30, 2022 | 390.00 Mn |
| Sep 30, 2022 | 388.00 Mn |
| Jul 1, 2022 | 344.00 Mn |
| Apr 1, 2022 | 486.00 Mn |
| Dec 31, 2021 | 295.00 Mn |
| Oct 1, 2021 | 305.00 Mn |
API Access
Gen Digital 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=GEN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "GEN", "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=GEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();