Gen Digital (GEN) Other Operating Expenses (2009 - 2026)
Gen Digital (GEN) posted Other Operating Expenses of $356 million for fiscal Q1 2027 (quarter ended Jul 3, 2026), up 1.4% from $351 million a year earlier and up 295.6% from the prior quarter.
Gen Digital (GEN) Other Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jul 3, 2026, Other Operating Expenses at Gen Digital was $1.16 billion, up 10.8% year-over-year; for FY2026 (ended Apr 3, 2026), it was $1.36 billion, up 47.4% from FY2025.
- Annual Other Operating Expenses shows a five-year compound annual growth rate of 15.9% (FY2021 to FY2026).
- In prior fiscal years, Gen Digital's Other Operating Expenses was $922 million in FY2025 (-4.6%), $966 million in FY2024 (+13.1%), $854 million in FY2023 (+20.8%) and $707 million in FY2022 (+8.8%).
- Quarterly Other Operating Expenses has run from a low of $90 million in fiscal Q4 2026 to a high of $362 million in fiscal Q3 2026 over five years.
- On a year-over-year basis, Other Operating Expenses increased in five of the last eight quarters, with growth averaging 12.3%.
- The strongest year-over-year quarter for Other Operating Expenses in the past five years was fiscal Q3 2026, with growth of 60.9%; the weakest was fiscal Q4 2026, with a decline of 63.0%.
- According to Business Quant data, Other Operating Expenses for the three prior fiscal quarters was $90 million (Q4 2026), $362 million (Q3 2026) and $352 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn |
| 10 | Gen Digital | 12.49 Bn | 10.19 Bn | 1.03 Bn |
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 356.00 Mn |
| Apr 3, 2026 | 90.00 Mn |
| Jan 2, 2026 | 362.00 Mn |
| Oct 3, 2025 | 352.00 Mn |
| Jul 4, 2025 | 351.00 Mn |
| Mar 28, 2025 | 243.00 Mn |
| Dec 27, 2024 | 225.00 Mn |
| Sep 27, 2024 | 228.00 Mn |
| Jun 28, 2024 | 226.00 Mn |
| Mar 29, 2024 | 231.00 Mn |
| Dec 29, 2023 | 245.00 Mn |
| Sep 29, 2023 | 248.00 Mn |
| Jun 30, 2023 | 242.00 Mn |
| Mar 31, 2023 | 237.00 Mn |
| Dec 30, 2022 | 244.00 Mn |
| Sep 30, 2022 | 196.00 Mn |
| Jul 1, 2022 | 177.00 Mn |
| Apr 1, 2022 | 178.00 Mn |
| Dec 31, 2021 | 181.00 Mn |
| Oct 1, 2021 | 171.00 Mn |
Gen Digital Other 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=other-operating-expenses&ticker=GEN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=GEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();