Gen Digital (GEN) Long-Term Debt Repayments (2009 - 2026)
Gen Digital (GEN) recorded Long-Term Debt Repayments of $45 million in fiscal Q1 2027 (quarter ended Jul 3, 2026), down 76.4% from $191 million a year earlier and down 98.5% from the prior quarter.
Gen Digital (GEN) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
On a TTM basis, Gen Digital's Long-Term Debt Repayments came in at $3.47 billion as of Jul 3, 2026, up 145.7% year-over-year; for FY2026 (ended Apr 3, 2026), it was $3.62 billion, up 176.1% from FY2025.
- Annual Long-Term Debt Repayments has a five-year compound annual growth rate of 13.3% (FY2021 to FY2026).
- Across earlier fiscal years, Long-Term Debt Repayments came in at $1.31 billion in FY2025 (+10.8%), $1.18 billion in FY2024 (-61.2%), $3.05 billion in FY2023 (+463.2%) and $541 million in FY2022 (-72.1%).
- The fiscal Q1 2027 figure is the lowest quarterly Long-Term Debt Repayments since fiscal Q3 2022.
- On a year-over-year basis, Long-Term Debt Repayments rose in four of the last six quarters, with growth averaging 100.5%.
- Peak year-over-year performance for Long-Term Debt Repayments in the last five years was growth of 408.5% in fiscal Q3 2026, against a decline of 98.7% in fiscal Q2 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $2.96 billion (Q4 2026), $300 million (Q3 2026) and $169 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 255.37 Bn | 240.44 Bn | 2.30 Bn | 160.00 Mn |
| 2 | CrowdStrike Holdings | 232.76 Bn | 213.16 Bn | 1.10 Bn | - |
| 3 | Fortinet | 124.77 Bn | 110.70 Bn | 1.64 Bn | - |
| 4 | Snowflake | 112.02 Bn | 99.33 Bn | 1.04 Bn | - |
| 5 | Datadog | 91.72 Bn | 73.36 Bn | 881.34 Mn | - |
| 6 | Zscaler | 34.48 Bn | 20.60 Bn | - | - |
| 7 | Okta | 33.83 Bn | 23.92 Bn | 641.00 Mn | - |
| 8 | Axon Enterprise | 31.97 Bn | 26.50 Bn | 546.45 Mn | - |
| 9 | MongoDB | 29.39 Bn | 19.85 Bn | 569.77 Mn | 1.79 Mn |
| 10 | Gen Digital | 14.39 Bn | 12.10 Bn | 1.03 Bn | 45.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 45.00 Mn |
| Apr 3, 2026 | 2.96 Bn |
| Jan 2, 2026 | 300.00 Mn |
| Oct 3, 2025 | 169.00 Mn |
| Jul 4, 2025 | 191.00 Mn |
| Mar 28, 2025 | 1.16 Bn |
| Dec 27, 2024 | 59.00 Mn |
| Jun 28, 2024 | 88.00 Mn |
| Mar 29, 2024 | 658.00 Mn |
| Dec 29, 2023 | 259.00 Mn |
| Sep 29, 2023 | 58.00 Mn |
| Jun 30, 2023 | 208.00 Mn |
| Mar 31, 2023 | 309.00 Mn |
| Sep 30, 2022 | 2.33 Bn |
| Jul 1, 2022 | 410.00 Mn |
| Apr 1, 2022 | 150.00 Mn |
| Dec 31, 2021 | 9.00 Mn |
| Oct 1, 2021 | 10.00 Mn |
| Jul 2, 2021 | 372.00 Mn |
| Apr 2, 2021 | 12.00 Mn |
Gen Digital Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=GEN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=GEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();