F5 (FFIV) Inventory (2009 - 2026)
F5's Inventory came in at $126.89 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 89.6% from $66.92 million a year earlier and up 40.5% from the prior quarter.
F5 (FFIV) Inventory (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), F5's Inventory was $77.23 million, up 1.1% from FY2024.
- Inventory carries a five-year compound annual growth rate of 22.6% (FY2020 to FY2025).
- Going back by fiscal year, Inventory was $76.38 million in FY2024 (+112.9%), $35.87 million in FY2023 (-47.5%), $68.37 million in FY2022 (+210.0%) and $22.06 million in FY2021 (-20.9%).
- The fiscal Q3 2026 figure represents the highest quarterly Inventory in data going back to fiscal Q4 2009.
- Year-over-year, Inventory has increased for four consecutive quarters, with growth averaging 41.6% over the last eight quarters.
- The fastest year-over-year change in Inventory over five years came in fiscal Q4 2022 (growth of 210.0%), and the weakest in fiscal Q4 2023 (a decline of 47.5%).
- Business Quant data shows FFIV's Inventory at $90.3 million (Q2 2026), $79.9 million (Q1 2026) and $77.23 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (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 | - |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 426.30 Mn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | - |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | - |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 486.56 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | - |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | - |
| 10 | F5 | 24.75 Bn | 19.16 Bn | 711.51 Mn | 126.89 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 126.89 Mn |
| Mar 31, 2026 | 90.30 Mn |
| Dec 31, 2025 | 79.90 Mn |
| Sep 30, 2025 | 77.23 Mn |
| Jun 30, 2025 | 66.92 Mn |
| Mar 31, 2025 | 67.88 Mn |
| Dec 31, 2024 | 73.24 Mn |
| Sep 30, 2024 | 76.38 Mn |
| Jun 30, 2024 | 78.54 Mn |
| Mar 31, 2024 | 69.76 Mn |
| Dec 31, 2023 | 35.84 Mn |
| Sep 30, 2023 | 35.87 Mn |
| Jun 30, 2023 | 46.10 Mn |
| Mar 31, 2023 | 50.75 Mn |
| Dec 31, 2022 | 59.20 Mn |
| Sep 30, 2022 | 68.37 Mn |
| Jun 30, 2022 | 43.79 Mn |
| Mar 31, 2022 | 27.88 Mn |
| Dec 31, 2021 | 20.80 Mn |
| Sep 30, 2021 | 22.06 Mn |
F5 Inventory 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=inventory&ticker=FFIV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=FFIV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();