Fortinet (FTNT) Depreciation and Depletion (2011 - 2026)
Fortinet (FTNT) reported Depreciation and Depletion of $31.5 million for Q2 2026, up 25.5% from $25.1 million a year earlier and up 6.8% from the prior quarter.
Fortinet (FTNT) Depreciation and Depletion (2011 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Fortinet's Depreciation and Depletion came in at $113.2 million, up 16.3% year-over-year; for FY2025, it was $101.3 million, up 1.6% from FY2024.
- Depreciation and Depletion has increased for seven consecutive years, with a five-year compound annual growth rate of 12.8% (FY2020 to FY2025).
- By year, Depreciation and Depletion came in at $99.7 million in FY2024 (+5.5%), $94.5 million in FY2023 (+16.7%), $81 million in FY2022 (+22.9%) and $65.9 million in FY2021 (+18.7%).
- The Q2 2026 figure ranks as the highest quarterly Depreciation and Depletion in data going back to Q1 2011.
- Year over year, Depreciation and Depletion has now increased in each of the last four quarters, with growth averaging 6.7% over the last eight quarters.
- The high point for year-over-year Depreciation and Depletion in five years was Q1 2022 (growth of 36.4%); the low point was Q1 2025 (a decline of 6.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $29.5 million (Q1 2026), $26.9 million (Q4 2025) and $25.3 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 264.75 Bn | 249.82 Bn | 2.30 Bn | - |
| 2 | CrowdStrike Holdings | 238.93 Bn | 219.33 Bn | 1.10 Bn | - |
| 3 | Fortinet | 127.84 Bn | 113.77 Bn | 1.64 Bn | 31.50 Mn |
| 4 | Snowflake | 110.22 Bn | 97.54 Bn | 1.04 Bn | 26.40 Mn |
| 5 | Datadog | 89.46 Bn | 71.10 Bn | 881.34 Mn | - |
| 6 | Zscaler | 33.91 Bn | 20.03 Bn | - | - |
| 7 | Okta | 33.86 Bn | 23.96 Bn | 641.00 Mn | - |
| 8 | Axon Enterprise | 32.92 Bn | 27.44 Bn | 546.45 Mn | - |
| 9 | MongoDB | 27.85 Bn | 18.31 Bn | 569.77 Mn | - |
| 10 | F5 | 25.12 Bn | 19.53 Bn | 711.51 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 31.50 Mn |
| Mar 31, 2026 | 29.50 Mn |
| Dec 31, 2025 | 26.90 Mn |
| Sep 30, 2025 | 25.30 Mn |
| Jun 30, 2025 | 25.10 Mn |
| Mar 31, 2025 | 24.00 Mn |
| Dec 31, 2024 | 23.70 Mn |
| Sep 30, 2024 | 24.50 Mn |
| Jun 30, 2024 | 25.90 Mn |
| Mar 31, 2024 | 25.60 Mn |
| Dec 31, 2023 | 24.90 Mn |
| Sep 30, 2023 | 23.90 Mn |
| Jun 30, 2023 | 22.90 Mn |
| Mar 31, 2023 | 22.80 Mn |
| Dec 31, 2022 | 21.60 Mn |
| Sep 30, 2022 | 21.20 Mn |
| Jun 30, 2022 | 19.10 Mn |
| Mar 31, 2022 | 19.10 Mn |
| Dec 31, 2021 | 18.50 Mn |
| Sep 30, 2021 | 18.10 Mn |
Fortinet Depreciation and Depletion 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=depreciation-and-depletion&ticker=FTNT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=FTNT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();