F5 (FFIV) Change in Accured Expenses (2009 - 2026)
F5 (FFIV) reported Change in Accured Expenses of $61.14 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 312.7% from $14.81 million a year earlier and up 77.0% from the prior quarter.
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Analysis
F5 (FFIV) Change in Accured Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, F5's Change in Accured Expenses came in at $98.93 million, up 126.4% year-over-year; for FY2025 (ended Sep 30, 2025), it was $28.9 million, down 28.4% from FY2024.
- Change in Accured Expenses has a five-year compound annual growth rate of -3.6% (FY2020 to FY2025).
- By fiscal year, Change in Accured Expenses came in at $40.37 million in FY2024, -$63.1 million in FY2023, $19.16 million in FY2022 (-16.4%) and $22.93 million in FY2021 (-34.0%).
- The fiscal Q3 2026 figure ranks as the highest quarterly Change in Accured Expenses since fiscal Q4 2024.
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $34.55 million (Q2 2026), -$44.69 million (Q1 2026) and $47.93 million (Q4 2025).
Peer Set
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 | F5 | 25.80 Bn | 20.21 Bn | 711.51 Mn | 61.14 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 61.14 Mn |
| Mar 31, 2026 | 34.55 Mn |
| Dec 31, 2025 | -44.69 Mn |
| Sep 30, 2025 | 47.93 Mn |
| Jun 30, 2025 | 14.81 Mn |
| Mar 31, 2025 | -40.40 Mn |
| Dec 31, 2024 | 6.55 Mn |
| Sep 30, 2024 | 62.72 Mn |
| Jun 30, 2024 | -1.42 Mn |
| Mar 31, 2024 | -7.48 Mn |
| Dec 31, 2023 | -13.45 Mn |
| Sep 30, 2023 | 16.51 Mn |
| Jun 30, 2023 | -20.07 Mn |
| Mar 31, 2023 | -39.55 Mn |
| Dec 31, 2022 | -19.98 Mn |
| Sep 30, 2022 | 52.56 Mn |
| Jun 30, 2022 | 2.25 Mn |
| Mar 31, 2022 | -10.26 Mn |
| Dec 31, 2021 | -25.39 Mn |
| Sep 30, 2021 | 9.35 Mn |
API Access
F5 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=FFIV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "FFIV", "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=FFIV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();