F5 (FFIV) Shares Outstanding (2009 - 2026)
F5's Shares Outstanding came in at 56.73 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 1.8% from 57.77 million a year earlier and unchanged from the prior quarter.
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Analysis
F5 (FFIV) Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2025 (ended Sep 30, 2025), F5's Shares Outstanding was 57.9 million, down 1.4% from FY2024.
- Shares Outstanding has declined in each of the last five fiscal years, with a five-year compound annual growth rate of -1.0% (FY2020 to FY2025).
- Going back by fiscal year, Shares Outstanding was 58.72 million in FY2024 (-2.0%), 59.91 million in FY2023 (-0.6%), 60.27 million in FY2022 (-0.7%) and 60.71 million in FY2021 (-0.3%).
- The five-year range for quarterly Shares Outstanding is 56.71 million (fiscal Q2 2026) to 60.81 million (fiscal Q1 2022).
- Year-over-year, Shares Outstanding has declined for 12 consecutive quarters, with an average decline of 1.6% over the last eight quarters.
- Across the past five years, year-over-year decline in Shares Outstanding ran from 0.0% in fiscal Q3 2023 to 2.6% in fiscal Q2 2024.
- Business Quant data shows FFIV's Shares Outstanding at 56.71 million (Q2 2026), 57.65 million (Q1 2026) and 57.9 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 749.00 Mn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 1.02 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 733.10 Mn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 349.26 Mn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 356.25 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 80.57 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 174.30 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | 160.22 Mn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 34.38 Mn |
| 10 | F5 | 24.75 Bn | 19.16 Bn | 711.51 Mn | 56.73 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 56.73 Mn |
| Mar 31, 2026 | 56.71 Mn |
| Dec 31, 2025 | 57.65 Mn |
| Sep 30, 2025 | 57.90 Mn |
| Jun 30, 2025 | 57.77 Mn |
| Mar 31, 2025 | 57.89 Mn |
| Dec 31, 2024 | 58.31 Mn |
| Sep 30, 2024 | 58.72 Mn |
| Jun 30, 2024 | 58.58 Mn |
| Mar 31, 2024 | 58.79 Mn |
| Dec 31, 2023 | 59.12 Mn |
| Sep 30, 2023 | 59.91 Mn |
| Jun 30, 2023 | 59.98 Mn |
| Mar 31, 2023 | 60.33 Mn |
| Dec 31, 2022 | 60.10 Mn |
| Sep 30, 2022 | 60.27 Mn |
| Jun 30, 2022 | 59.97 Mn |
| Mar 31, 2022 | 60.57 Mn |
| Dec 31, 2021 | 60.81 Mn |
| Sep 30, 2021 | 60.71 Mn |
API Access
F5 Shares Outstanding 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&ticker=FFIV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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&ticker=FFIV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();