F5 (FFIV) Property, Plant & Equipment (Net) (2009 - 2026)
F5 (FFIV) recorded Property, Plant & Equipment (Net) of $197.28 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 29.4% from $152.45 million a year earlier and up 12.5% from the prior quarter.
F5 (FFIV) Property, Plant & Equipment (Net) (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), F5 reported Property, Plant & Equipment (Net) of $156.95 million, up 4.0% from FY2024.
- Annual Property, Plant & Equipment (Net) has a five-year compound annual growth rate of -7.3% (FY2020 to FY2025).
- Across earlier fiscal years, Property, Plant & Equipment (Net) came in at $150.94 million in FY2024 (-11.4%), $170.42 million in FY2023 (+1.3%), $168.18 million in FY2022 (-12.0%) and $191.16 million in FY2021 (-16.6%).
- The fiscal Q3 2026 figure is the highest quarterly Property, Plant & Equipment (Net) since fiscal Q2 2021.
- On a year-over-year basis, Property, Plant & Equipment (Net) has increased for four consecutive quarters, with growth averaging 3.2% over the last eight quarters.
- Peak year-over-year performance for Property, Plant & Equipment (Net) in the last five years was growth of 29.4% in fiscal Q3 2026, against a decline of 16.6% in fiscal Q4 2021 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $175.36 million (Q2 2026), $157.1 million (Q1 2026) and $156.95 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn | 523.00 Mn |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn | 1.17 Bn |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn | 1.70 Bn |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn | 207.98 Mn |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn | 409.63 Mn |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn | 33.00 Mn |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn | 341.51 Mn |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - | 753.00 Mn |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn | 38.99 Mn |
| 10 | F5 | 25.80 Bn | 20.21 Bn | 711.51 Mn | 197.28 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 197.28 Mn |
| Mar 31, 2026 | 175.36 Mn |
| Dec 31, 2025 | 157.10 Mn |
| Sep 30, 2025 | 156.95 Mn |
| Jun 30, 2025 | 152.45 Mn |
| Mar 31, 2025 | 148.81 Mn |
| Dec 31, 2024 | 149.98 Mn |
| Sep 30, 2024 | 150.94 Mn |
| Jun 30, 2024 | 154.24 Mn |
| Mar 31, 2024 | 161.53 Mn |
| Dec 31, 2023 | 167.11 Mn |
| Sep 30, 2023 | 170.42 Mn |
| Jun 30, 2023 | 171.15 Mn |
| Mar 31, 2023 | 169.77 Mn |
| Dec 31, 2022 | 167.71 Mn |
| Sep 30, 2022 | 168.18 Mn |
| Jun 30, 2022 | 172.06 Mn |
| Mar 31, 2022 | 178.74 Mn |
| Dec 31, 2021 | 185.36 Mn |
| Sep 30, 2021 | 191.16 Mn |
F5 Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=FFIV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=FFIV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();