Gen Digital (GEN) EBITDA (2009 - 2026)
Gen Digital (GEN) posted EBITDA of $566 million for fiscal Q1 2027 (quarter ended Jul 3, 2026), down 0.5% from $569 million a year earlier and down 38.6% from the prior quarter.
Gen Digital (GEN) EBITDA (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jul 3, 2026, EBITDA at Gen Digital was $2.61 billion, up 25.8% year-over-year; for FY2026 (ended Apr 3, 2026), it came in at $2.61 billion, up 28.8% from FY2025.
- Annual EBITDA has increased for six consecutive fiscal years, with a five-year compound annual growth rate of 20.1% (FY2021 to FY2026).
- In prior fiscal years, Gen Digital's EBITDA was $2.03 billion in FY2025 (+27.2%), $1.6 billion in FY2024 (+3.9%), $1.54 billion in FY2023 (+34.1%) and $1.15 billion in FY2022 (+9.5%).
- Quarterly EBITDA has run from a low of $147 million in fiscal Q2 2024 to a high of $922 million in fiscal Q4 2026 over five years.
- On a year-over-year basis, EBITDA increased in seven of the last eight quarters, with growth averaging 45.7%.
- The strongest year-over-year quarter for EBITDA in the past five years was fiscal Q2 2025, with growth of 244.9%; the weakest was fiscal Q2 2024, with a decline of 49.3%.
- According to Business Quant data, EBITDA for the three prior fiscal quarters was $922 million (Q4 2026), $559 million (Q3 2026) and $563 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 693.00 Mn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 170.34 Mn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 827.40 Mn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | -134.60 Mn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 47.04 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 79.24 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 166.00 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 | 566.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 566.00 Mn |
| Apr 3, 2026 | 922.00 Mn |
| Jan 2, 2026 | 559.00 Mn |
| Oct 3, 2025 | 563.00 Mn |
| Jul 4, 2025 | 569.00 Mn |
| Mar 28, 2025 | 521.00 Mn |
| Dec 27, 2024 | 478.00 Mn |
| Sep 27, 2024 | 507.00 Mn |
| Jun 28, 2024 | 523.00 Mn |
| Mar 29, 2024 | 508.00 Mn |
| Dec 29, 2023 | 456.00 Mn |
| Sep 29, 2023 | 147.00 Mn |
| Jun 30, 2023 | 484.00 Mn |
| Mar 31, 2023 | 462.00 Mn |
| Dec 30, 2022 | 493.00 Mn |
| Sep 30, 2022 | 290.00 Mn |
| Jul 1, 2022 | 290.00 Mn |
| Apr 1, 2022 | 161.00 Mn |
| Dec 31, 2021 | 339.00 Mn |
| Oct 1, 2021 | 322.00 Mn |
Gen Digital EBITDA 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=ebitda&ticker=GEN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=GEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();