Fortinet (FTNT) Property, Plant & Equipment (Net) (2010 - 2026)
Fortinet (FTNT) posted Property, Plant & Equipment (Net) of $1.73 billion for Q3 2026, up 7.7% from $1.61 billion a year earlier and up 1.8% from the prior quarter.
Fortinet (FTNT) Property, Plant & Equipment (Net) (2010 - 2026) Analysis & Trends
At the end of FY2025, Fortinet's Property, Plant & Equipment (Net) came in at $1.62 billion, up 20.0% from FY2024.
- Annual Property, Plant & Equipment (Net) has increased for 15 consecutive years, with a five-year compound annual growth rate of 29.3% (FY2020 to FY2025).
- In prior years, Fortinet's Property, Plant & Equipment (Net) was $1.35 billion in FY2024 (+29.2%), $1.04 billion in FY2023 (+16.2%), $898.5 million in FY2022 (+30.7%) and $687.6 million in FY2021 (+53.5%).
- The Q3 2026 figure stands as the highest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2010.
- On a year-over-year basis, Property, Plant & Equipment (Net) has increased in each of the last 58 quarters, with growth averaging 18.8% over the last eight quarters.
- Across the past five years, year-over-year growth in Property, Plant & Equipment (Net) ran from 7.7% in Q3 2026 to 60.8% in Q2 2022.
- According to Business Quant data, Property, Plant & Equipment (Net) for the three prior quarters was $1.7 billion (Q2 2026), $1.69 billion (Q1 2026) and $1.62 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 235.00 Bn | 220.07 Bn | 2.30 Bn | 523.00 Mn |
| 2 | CrowdStrike Holdings | 221.18 Bn | 201.58 Bn | 1.10 Bn | 1.17 Bn |
| 3 | Snowflake | 96.49 Bn | 83.81 Bn | 1.04 Bn | 207.98 Mn |
| 4 | Fortinet | 87.26 Bn | 71.51 Bn | 1.64 Bn | 1.73 Bn |
| 5 | Datadog | 64.27 Bn | 44.82 Bn | 959.92 Mn | 438.17 Mn |
| 6 | Zscaler | 31.67 Bn | 17.82 Bn | 689.22 Mn | 753.00 Mn |
| 7 | Okta | 29.42 Bn | 19.51 Bn | 641.00 Mn | 33.00 Mn |
| 8 | Axon Enterprise | 25.30 Bn | 19.82 Bn | 546.45 Mn | 341.51 Mn |
| 9 | MongoDB | 25.20 Bn | 15.67 Bn | 569.77 Mn | 38.99 Mn |
| 10 | Roku | 23.89 Bn | 13.92 Bn | 648.52 Mn | 143.21 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.73 Bn |
| Jun 30, 2026 | 1.70 Bn |
| Mar 31, 2026 | 1.69 Bn |
| Dec 31, 2025 | 1.62 Bn |
| Sep 30, 2025 | 1.61 Bn |
| Jun 30, 2025 | 1.54 Bn |
| Mar 31, 2025 | 1.40 Bn |
| Dec 31, 2024 | 1.35 Bn |
| Sep 30, 2024 | 1.27 Bn |
| Jun 30, 2024 | 1.24 Bn |
| Mar 31, 2024 | 1.25 Bn |
| Dec 31, 2023 | 1.04 Bn |
| Sep 30, 2023 | 1.04 Bn |
| Jun 30, 2023 | 981.90 Mn |
| Mar 31, 2023 | 917.40 Mn |
| Dec 31, 2022 | 898.50 Mn |
| Sep 30, 2022 | 889.50 Mn |
| Jun 30, 2022 | 814.60 Mn |
| Mar 31, 2022 | 786.50 Mn |
| Dec 31, 2021 | 687.60 Mn |
Fortinet 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=FTNT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "FTNT", "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=FTNT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();