Gen Digital (GEN) Interest Expenses (2009 - 2026)
Gen Digital's Interest Expenses was $124 million in fiscal Q1 2027 (quarter ended Jul 3, 2026), down 20.5% from $156 million a year earlier and down 4.6% from the prior quarter.
Gen Digital (GEN) Interest Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Gen Digital's Interest Expenses was $537 million through Jul 3, 2026, down 7.6% year-over-year; for FY2026 (ended Apr 3, 2026), it came in at $569 million, down 1.6% from FY2025.
- Interest Expenses shows a five-year compound annual growth rate of 31.6% (FY2021 to FY2026).
- In earlier fiscal years, Interest Expenses was $578 million in FY2025 (-13.6%), $669 million in FY2024 (+66.8%), $401 million in FY2023 (+218.3%) and $126 million in FY2022 (-12.5%).
- The fiscal Q1 2027 figure marks the lowest quarterly Interest Expenses since fiscal Q2 2023.
- Compared with a year earlier, Interest Expenses has declined for four straight quarters, with an average decline of 9.0% over the last eight quarters.
- The best year-over-year quarter for Interest Expenses over five years was fiscal Q1 2024 (growth of 448.4%); the worst was fiscal Q1 2027 (a decline of 20.5%).
- Per Business Quant data, GEN's Interest Expenses in the three fiscal quarters before Q1 2027 was $130 million (Q4 2026), $137 million (Q3 2026) and $146 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (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 | 6.05 Mn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 3.20 Mn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 2.08 Mn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 3.26 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 28.10 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | -19.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | -89.29 Mn |
| 10 | Gen Digital | 12.49 Bn | 10.19 Bn | 1.03 Bn | 124.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 124.00 Mn |
| Apr 3, 2026 | 130.00 Mn |
| Jan 2, 2026 | 137.00 Mn |
| Oct 3, 2025 | 146.00 Mn |
| Jul 4, 2025 | 156.00 Mn |
| Mar 28, 2025 | 135.00 Mn |
| Dec 27, 2024 | 141.00 Mn |
| Sep 27, 2024 | 149.00 Mn |
| Jun 28, 2024 | 153.00 Mn |
| Mar 29, 2024 | 161.00 Mn |
| Dec 29, 2023 | 165.00 Mn |
| Sep 29, 2023 | 173.00 Mn |
| Jun 30, 2023 | 170.00 Mn |
| Mar 31, 2023 | 168.00 Mn |
| Dec 30, 2022 | 154.00 Mn |
| Sep 30, 2022 | 48.00 Mn |
| Jul 1, 2022 | 31.00 Mn |
| Apr 1, 2022 | 31.00 Mn |
| Dec 31, 2021 | 32.00 Mn |
| Oct 1, 2021 | 31.00 Mn |
Gen Digital Interest 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=interest-expenses&ticker=GEN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-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=interest-expenses&ticker=GEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();