F5 (FFIV) Finished Goods (2010 - 2026)
F5 (FFIV) reported Finished Goods of $31.02 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 9.9% from $28.23 million a year earlier but down 9.0% from the prior quarter.
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Analysis
F5 (FFIV) Finished Goods (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), F5 posted Finished Goods of $26.93 million, down 3.5% from FY2024.
- Finished Goods has a five-year compound annual growth rate of 9.5% (FY2020 to FY2025).
- By fiscal year, Finished Goods came in at $27.92 million in FY2024 (+138.7%), $11.7 million in FY2023 (+15.1%), $10.16 million in FY2022 (-22.3%) and $13.08 million in FY2021 (-23.5%).
- Five-year quarterly Finished Goods spans a low of $9.7 million in fiscal Q2 2023 and a high of $35.3 million in fiscal Q1 2026.
- Year over year, Finished Goods has now increased in each of the last three quarters, with growth averaging 45.6% over the last eight quarters.
- The high point for year-over-year Finished Goods in five years was fiscal Q3 2024 (growth of 173.4%); the low point was fiscal Q1 2023 (a decline of 36.8%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $34.08 million (Q2 2026), $35.3 million (Q1 2026) and $26.93 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 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 |
| 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 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 31.02 Mn |
| Mar 31, 2026 | 34.08 Mn |
| Dec 31, 2025 | 35.30 Mn |
| Sep 30, 2025 | 26.93 Mn |
| Jun 30, 2025 | 28.23 Mn |
| Mar 31, 2025 | 27.38 Mn |
| Dec 31, 2024 | 29.14 Mn |
| Sep 30, 2024 | 27.92 Mn |
| Jun 30, 2024 | 27.66 Mn |
| Mar 31, 2024 | 17.61 Mn |
| Dec 31, 2023 | 13.45 Mn |
| Sep 30, 2023 | 11.70 Mn |
| Jun 30, 2023 | 10.12 Mn |
| Mar 31, 2023 | 9.70 Mn |
| Dec 31, 2022 | 9.95 Mn |
| Sep 30, 2022 | 10.16 Mn |
| Jun 30, 2022 | 10.53 Mn |
| Mar 31, 2022 | 11.28 Mn |
| Dec 31, 2021 | 15.73 Mn |
| Sep 30, 2021 | 13.08 Mn |
API Access
F5 Finished Goods 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=finished-goods&ticker=FFIV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "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=finished-goods&ticker=FFIV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();