Gen Digital (GEN) Research & Development (2009 - 2026)
Gen Digital (GEN) posted Research & Development of $118 million for fiscal Q1 2027 (quarter ended Jul 3, 2026), up 8.3% from $109 million a year earlier and up 13.5% from the prior quarter.
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Analysis
Gen Digital (GEN) Research & Development (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jul 3, 2026, Research & Development at Gen Digital was $418 million, up 17.1% year-over-year; for FY2026 (ended Apr 3, 2026), it was $409 million, up 24.3% from FY2025.
- Annual Research & Development shows a five-year compound annual growth rate of 8.9% (FY2021 to FY2026).
- In prior fiscal years, Gen Digital's Research & Development was $329 million in FY2025 (-0.9%), $332 million in FY2024 (+6.1%), $313 million in FY2023 (+23.7%) and $253 million in FY2022 (-5.2%).
- The fiscal Q1 2027 figure stands as the highest quarterly Research & Development since fiscal Q1 2019.
- On a year-over-year basis, Research & Development has increased in each of the last seven quarters, with growth averaging 14.2% over the last eight quarters.
- The strongest year-over-year quarter for Research & Development in the past five years was fiscal Q3 2023, with growth of 51.7%; the weakest was fiscal Q3 2022, with a decline of 15.5%.
- According to Business Quant data, Research & Development for the three prior fiscal quarters was $104 million (Q4 2026), $96 million (Q3 2026) and $100 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 779.00 Mn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 444.20 Mn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 225.00 Mn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 567.48 Mn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 477.97 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 208.69 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 163.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 679.00 Mn |
| 10 | Gen Digital | 12.49 Bn | 10.19 Bn | 1.03 Bn | 118.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 118.00 Mn |
| Apr 3, 2026 | 104.00 Mn |
| Jan 2, 2026 | 96.00 Mn |
| Oct 3, 2025 | 100.00 Mn |
| Jul 4, 2025 | 109.00 Mn |
| Mar 28, 2025 | 81.00 Mn |
| Dec 27, 2024 | 84.00 Mn |
| Sep 27, 2024 | 83.00 Mn |
| Jun 28, 2024 | 81.00 Mn |
| Mar 29, 2024 | 80.00 Mn |
| Dec 29, 2023 | 77.00 Mn |
| Sep 29, 2023 | 85.00 Mn |
| Jun 30, 2023 | 90.00 Mn |
| Mar 31, 2023 | 88.00 Mn |
| Dec 30, 2022 | 91.00 Mn |
| Sep 30, 2022 | 73.00 Mn |
| Jul 1, 2022 | 61.00 Mn |
| Apr 1, 2022 | 59.00 Mn |
| Dec 31, 2021 | 60.00 Mn |
| Oct 1, 2021 | 66.00 Mn |
API Access
Gen Digital Research & Development 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=research-and-development&ticker=GEN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=GEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();