Gen Digital (GEN) Total Non-Current Liabilities (2009 - 2026)
Gen Digital's Total Non-Current Liabilities was $11.37 billion in fiscal Q1 2027 (quarter ended Jul 3, 2026), down 8.9% from $12.49 billion a year earlier and down 0.1% from the prior quarter.
Gen Digital (GEN) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 3, 2026), Total Non-Current Liabilities at Gen Digital came in at $11.39 billion, down 3.5% from FY2025.
- Total Non-Current Liabilities has now declined for three consecutive fiscal years, though with a five-year compound annual growth rate of 14.7% (FY2021 to FY2026).
- In earlier fiscal years, Total Non-Current Liabilities was $11.81 billion in FY2025 (-2.9%), $12.16 billion in FY2024 (-6.3%), $12.98 billion in FY2023 (+113.7%) and $6.07 billion in FY2022 (+5.8%).
- The fiscal Q1 2027 figure marks the lowest quarterly Total Non-Current Liabilities since fiscal Q1 2023.
- Compared with a year earlier, Total Non-Current Liabilities was higher in three of the last eight quarters, with an average decline of 2.9%.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was fiscal Q1 2024 (growth of 128.1%); the worst was fiscal Q1 2027 (a decline of 8.9%).
- Per Business Quant data, GEN's Total Non-Current Liabilities in the three fiscal quarters before Q1 2027 was $11.39 billion (Q4 2026), $11.92 billion (Q3 2026) and $12.05 billion (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 19.68 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 6.57 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 9.17 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 6.45 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 3.16 Bn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 3.68 Bn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 2.11 Bn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | 5.20 Bn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 12.63 Bn |
| 10 | Gen Digital | 12.49 Bn | 10.19 Bn | 1.03 Bn | 11.37 Bn |
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 11.37 Bn |
| Apr 3, 2026 | 11.39 Bn |
| Jan 2, 2026 | 11.92 Bn |
| Oct 3, 2025 | 12.05 Bn |
| Jul 4, 2025 | 12.49 Bn |
| Mar 28, 2025 | 11.81 Bn |
| Dec 27, 2024 | 11.83 Bn |
| Sep 27, 2024 | 11.98 Bn |
| Jun 28, 2024 | 11.95 Bn |
| Mar 29, 2024 | 12.16 Bn |
| Dec 29, 2023 | 12.71 Bn |
| Sep 29, 2023 | 12.84 Bn |
| Jun 30, 2023 | 12.66 Bn |
| Mar 31, 2023 | 12.98 Bn |
| Dec 30, 2022 | 13.27 Bn |
| Sep 30, 2022 | 13.27 Bn |
| Jul 1, 2022 | 5.55 Bn |
| Apr 1, 2022 | 6.07 Bn |
| Dec 31, 2021 | 5.96 Bn |
| Oct 1, 2021 | 5.93 Bn |
Gen Digital Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=GEN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=GEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();