Gen Digital (GEN) Change in Accured Expenses (2009 - 2026)
Gen Digital (GEN) posted Change in Accured Expenses of -$39 million for fiscal Q1 2027 (quarter ended Jul 3, 2026), compared with -$21 million a year earlier.
Gen Digital (GEN) Change in Accured Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jul 3, 2026, Change in Accured Expenses at Gen Digital was -$10 million; for FY2026 (ended Apr 3, 2026), it was $8 million, down 70.4% from FY2025.
- In prior fiscal years, Gen Digital's Change in Accured Expenses was $27 million in FY2025, -$24 million in FY2024, -$6 million in FY2023 and -$26 million in FY2022.
- The fiscal Q1 2027 figure stands as the lowest quarterly Change in Accured Expenses since fiscal Q1 2024.
- On a year-over-year basis, Change in Accured Expenses increased in 1 of the last four quarters, with growth averaging 137.2%.
- The strongest year-over-year quarter for Change in Accured Expenses in the past five years was fiscal Q3 2025, with growth of 600.0%; the weakest was fiscal Q2 2024, with a decline of 97.1%.
- According to Business Quant data, Change in Accured Expenses for the three prior fiscal quarters was -$3 million (Q4 2026), $20 million (Q3 2026) and $12 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn | 369.00 Mn |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn | 72.38 Mn |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn | 75.10 Mn |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn | 108.85 Mn |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn | 6.98 Mn |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn | -2.00 Mn |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn | 256.58 Mn |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - | - |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn | 43.09 Mn |
| 10 | Gen Digital | 13.17 Bn | 10.88 Bn | 1.03 Bn | -39.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | -39.00 Mn |
| Apr 3, 2026 | -3.00 Mn |
| Jan 2, 2026 | 20.00 Mn |
| Oct 3, 2025 | 12.00 Mn |
| Jul 4, 2025 | -21.00 Mn |
| Mar 28, 2025 | 11.00 Mn |
| Dec 27, 2024 | 21.00 Mn |
| Sep 27, 2024 | 16.00 Mn |
| Jun 28, 2024 | -21.00 Mn |
| Mar 29, 2024 | 14.00 Mn |
| Dec 29, 2023 | 3.00 Mn |
| Sep 29, 2023 | 1.00 Mn |
| Jun 30, 2023 | -42.00 Mn |
| Mar 31, 2023 | -6.00 Mn |
| Dec 30, 2022 | -3.00 Mn |
| Sep 30, 2022 | 35.00 Mn |
| Jul 1, 2022 | -32.00 Mn |
| Apr 1, 2022 | 1.00 Mn |
| Dec 31, 2021 | 9.00 Mn |
| Oct 1, 2021 | 6.00 Mn |
Gen Digital Change in Accured 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=change-in-accured-expenses&ticker=GEN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=GEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();