F5 (FFIV) Shares Outstanding (Diluted) (2009 - 2026)
F5 (FFIV) posted Weighted Average Shares Outstanding (Diluted) of 57.55 million for fiscal Q4 2026 (quarter ended Sep 30, 2026), down 1.9% from 58.68 million a year earlier and unchanged from the prior quarter.
F5 (FFIV) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
Since fiscal Q3 2009, F5 has reported Weighted Average Shares Outstanding (Diluted) for 70 quarters.
- Annual Weighted Average Shares Outstanding (Diluted) has declined for five consecutive fiscal years, with a five-year compound annual growth rate of -1.5% (FY2021 to FY2026).
- In prior fiscal years, F5's Weighted Average Shares Outstanding (Diluted) was 58.68 million in FY2025 (-1.1%), 59.36 million in FY2024 (-1.5%), 60.27 million in FY2023 (-1.4%) and 61.1 million in FY2022 (-1.5%).
- Quarterly Weighted Average Shares Outstanding (Diluted) has run from a low of 57.3 million in fiscal Q2 2026 to a high of 61.88 million in fiscal Q1 2022 over five years.
- On a year-over-year basis, Weighted Average Shares Outstanding (Diluted) has declined in each of the last 20 quarters, with an average decline of 1.5% over the last eight quarters.
- Over the past five years, the year-over-year decline in Weighted Average Shares Outstanding (Diluted) ranged from 0.2% (fiscal Q3 2023) to 2.5% (fiscal Q2 2026).
- According to Business Quant data, Weighted Average Shares Outstanding (Diluted) for the three prior fiscal quarters was 57.55 million (Q3 2026), 57.3 million (Q2 2026) and 58.16 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 235.00 Bn | 220.07 Bn | 2.30 Bn | 764.00 Mn |
| 2 | CrowdStrike Holdings | 221.18 Bn | 201.58 Bn | 1.10 Bn | 1.04 Bn |
| 3 | Snowflake | 96.49 Bn | 83.81 Bn | 1.04 Bn | 349.26 Mn |
| 4 | Fortinet | 87.26 Bn | 71.51 Bn | 1.64 Bn | 742.60 Mn |
| 5 | Datadog | 64.27 Bn | 44.82 Bn | 959.92 Mn | 375.01 Mn |
| 6 | Zscaler | 31.67 Bn | 17.82 Bn | 689.22 Mn | 160.22 Mn |
| 7 | Okta | 29.42 Bn | 19.51 Bn | 641.00 Mn | 178.81 Mn |
| 8 | Axon Enterprise | 25.30 Bn | 19.82 Bn | 546.45 Mn | 82.54 Mn |
| 9 | MongoDB | 25.20 Bn | 15.67 Bn | 569.77 Mn | 82.00 Mn |
| 10 | F5 | 17.64 Bn | 12.05 Bn | 711.51 Mn | 57.55 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 57.55 Mn |
| Mar 31, 2026 | 57.30 Mn |
| Dec 31, 2025 | 58.16 Mn |
| Sep 30, 2025 | 58.68 Mn |
| Jun 30, 2025 | 58.49 Mn |
| Mar 31, 2025 | 58.76 Mn |
| Dec 31, 2024 | 59.06 Mn |
| Sep 30, 2024 | 59.36 Mn |
| Jun 30, 2024 | 59.15 Mn |
| Mar 31, 2024 | 59.58 Mn |
| Dec 31, 2023 | 59.65 Mn |
| Sep 30, 2023 | 60.27 Mn |
| Jun 30, 2023 | 60.31 Mn |
| Mar 31, 2023 | 60.69 Mn |
| Dec 31, 2022 | 60.39 Mn |
| Sep 30, 2022 | 61.10 Mn |
| Jun 30, 2022 | 60.46 Mn |
| Mar 31, 2022 | 61.41 Mn |
| Dec 31, 2021 | 61.88 Mn |
| Sep 30, 2021 | 62.06 Mn |
F5 Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=FFIV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=FFIV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();