Gen Digital (GEN) Total Liabilities (2009 - 2026)
Gen Digital's Total Liabilities came in at $12.99 billion for fiscal Q1 2027 (quarter ended Jul 3, 2026), down 7.2% from $14 billion a year earlier but up 0.1% from the prior quarter.
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Analysis
Gen Digital (GEN) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 3, 2026), Gen Digital's Total Liabilities was $12.98 billion, down 1.9% from FY2025.
- Total Liabilities has declined in each of the last three fiscal years, though with a five-year compound annual growth rate of 13.6% (FY2021 to FY2026).
- Going back by fiscal year, Total Liabilities was $13.23 billion in FY2025 (-3.1%), $13.65 billion in FY2024 (-1.0%), $13.8 billion in FY2023 (+95.1%) and $7.07 billion in FY2022 (+3.0%).
- The five-year range for quarterly Total Liabilities is $6.55 billion (fiscal Q1 2023) to $14.19 billion (fiscal Q3 2023).
- Year-over-year, Total Liabilities increased in three of the last eight quarters, with an average decline of 1.8%.
- The fastest year-over-year change in Total Liabilities over five years came in fiscal Q1 2024 (growth of 106.2%), and the weakest in fiscal Q1 2023 (a decline of 7.3%).
- Business Quant data shows GEN's Total Liabilities at $12.98 billion (Q4 2026), $13.5 billion (Q3 2026) and $13.59 billion (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 20.97 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 6.89 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 9.31 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 6.54 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 3.18 Bn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 3.81 Bn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 2.17 Bn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | 5.27 Bn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 27.69 Bn |
| 10 | Gen Digital | 12.49 Bn | 10.19 Bn | 1.03 Bn | 12.99 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 12.99 Bn |
| Apr 3, 2026 | 12.98 Bn |
| Jan 2, 2026 | 13.50 Bn |
| Oct 3, 2025 | 13.59 Bn |
| Jul 4, 2025 | 14.00 Bn |
| Mar 28, 2025 | 13.23 Bn |
| Dec 27, 2024 | 13.21 Bn |
| Sep 27, 2024 | 13.37 Bn |
| Jun 28, 2024 | 13.46 Bn |
| Mar 29, 2024 | 13.65 Bn |
| Dec 29, 2023 | 13.92 Bn |
| Sep 29, 2023 | 14.05 Bn |
| Jun 30, 2023 | 13.50 Bn |
| Mar 31, 2023 | 13.80 Bn |
| Dec 30, 2022 | 14.19 Bn |
| Sep 30, 2022 | 14.18 Bn |
| Jul 1, 2022 | 6.55 Bn |
| Apr 1, 2022 | 7.07 Bn |
| Dec 31, 2021 | 6.97 Bn |
| Oct 1, 2021 | 6.97 Bn |
API Access
Gen Digital Total 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-liabilities&ticker=GEN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=GEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();