Gen Digital (GEN) Cost of Revenue (2009 - 2026)
Gen Digital (GEN) posted Cost of Revenue of $307 million for fiscal Q1 2027 (quarter ended Jul 3, 2026), up 15.0% from $267 million a year earlier and up 11.2% from the prior quarter.
Gen Digital (GEN) Cost of Revenue (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jul 3, 2026, Cost of Revenue at Gen Digital was $1.12 billion, up 30.9% year-over-year; for FY2026 (ended Apr 3, 2026), it came in at $1.08 billion, up 38.8% from FY2025.
- Annual Cost of Revenue has increased for five consecutive fiscal years, with a five-year compound annual growth rate of 24.4% (FY2021 to FY2026).
- In prior fiscal years, Gen Digital's Cost of Revenue was $776 million in FY2025 (+6.2%), $731 million in FY2024 (+24.1%), $589 million in FY2023 (+44.4%) and $408 million in FY2022 (+12.7%).
- The fiscal Q1 2027 figure stands as the highest quarterly Cost of Revenue since fiscal Q1 2015.
- On a year-over-year basis, Cost of Revenue has increased in each of the last nine quarters, with growth averaging 23.6% over the last eight quarters.
- Across the past five years, year-over-year growth in Cost of Revenue ran from 0.0% in fiscal Q1 2023 to 88.1% in fiscal Q4 2023.
- According to Business Quant data, Cost of Revenue for the three prior fiscal quarters was $276 million (Q4 2026), $268 million (Q3 2026) and $266 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 1.11 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 374.00 Mn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 404.70 Mn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 510.08 Mn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 240.11 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 357.94 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 164.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 2.82 Bn |
| 10 | Gen Digital | 12.49 Bn | 10.19 Bn | 1.03 Bn | 307.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 307.00 Mn |
| Apr 3, 2026 | 276.00 Mn |
| Jan 2, 2026 | 268.00 Mn |
| Oct 3, 2025 | 266.00 Mn |
| Jul 4, 2025 | 267.00 Mn |
| Mar 28, 2025 | 199.00 Mn |
| Dec 27, 2024 | 193.00 Mn |
| Sep 27, 2024 | 194.00 Mn |
| Jun 28, 2024 | 190.00 Mn |
| Mar 29, 2024 | 190.00 Mn |
| Dec 29, 2023 | 182.00 Mn |
| Sep 29, 2023 | 180.00 Mn |
| Jun 30, 2023 | 179.00 Mn |
| Mar 31, 2023 | 190.00 Mn |
| Dec 30, 2022 | 178.00 Mn |
| Sep 30, 2022 | 119.00 Mn |
| Jul 1, 2022 | 102.00 Mn |
| Apr 1, 2022 | 101.00 Mn |
| Dec 31, 2021 | 105.00 Mn |
| Oct 1, 2021 | 100.00 Mn |
Gen Digital Cost of Revenue 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=cost-of-revenue&ticker=GEN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=GEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();