Fortinet (FTNT) Accumulated Expenses (2010 - 2026)
Fortinet (FTNT) recorded Accumulated Expenses of $380.3 million in Q3 2026, up 15.0% from $330.6 million a year earlier but down 3.4% from the prior quarter.
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Analysis
Fortinet (FTNT) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025, Fortinet reported Accumulated Expenses of $354.6 million, up 4.9% from FY2024.
- Annual Accumulated Expenses has a five-year compound annual growth rate of 18.9% (FY2020 to FY2025).
- Across earlier years, Accumulated Expenses came in at $337.9 million in FY2024 (-20.3%), $423.7 million in FY2023 (+59.1%), $266.3 million in FY2022 (+35.0%) and $197.3 million in FY2021 (+32.2%).
- Quarterly Accumulated Expenses has ranged from $197.3 million in Q4 2021 to $538.7 million in Q1 2024 over the past five years.
- On a year-over-year basis, Accumulated Expenses rose in three of the last eight quarters, with an average decline of 5.8%.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 82.5% in Q1 2022, against a decline of 23.0% in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $393.7 million (Q2 2026), $366.1 million (Q1 2026) and $354.6 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 243.74 Bn | 228.81 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 224.79 Bn | 205.20 Bn | 1.10 Bn |
| 3 | Snowflake | 97.46 Bn | 84.77 Bn | 1.04 Bn |
| 4 | Fortinet | 92.10 Bn | 76.35 Bn | 1.64 Bn |
| 5 | Datadog | 64.70 Bn | 45.25 Bn | 959.92 Mn |
| 6 | Zscaler | 33.91 Bn | 20.06 Bn | 689.22 Mn |
| 7 | Axon Enterprise | 33.52 Bn | 28.04 Bn | 546.45 Mn |
| 8 | Okta | 30.43 Bn | 20.52 Bn | 641.00 Mn |
| 9 | MongoDB | 24.96 Bn | 15.43 Bn | 569.77 Mn |
| 10 | Roku | 24.03 Bn | 14.05 Bn | 648.52 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 380.30 Mn |
| Jun 30, 2026 | 393.70 Mn |
| Mar 31, 2026 | 366.10 Mn |
| Dec 31, 2025 | 354.60 Mn |
| Sep 30, 2025 | 330.60 Mn |
| Jun 30, 2025 | 339.10 Mn |
| Mar 31, 2025 | 415.00 Mn |
| Dec 31, 2024 | 337.90 Mn |
| Sep 30, 2024 | 376.60 Mn |
| Jun 30, 2024 | 400.60 Mn |
| Mar 31, 2024 | 538.70 Mn |
| Dec 31, 2023 | 423.70 Mn |
| Sep 30, 2023 | 317.20 Mn |
| Jun 30, 2023 | 266.80 Mn |
| Mar 31, 2023 | 346.70 Mn |
| Dec 31, 2022 | 266.30 Mn |
| Sep 30, 2022 | 244.80 Mn |
| Jun 30, 2022 | 241.20 Mn |
| Mar 31, 2022 | 261.40 Mn |
| Dec 31, 2021 | 197.30 Mn |
API Access
Fortinet Accumulated Expenses 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=accumulated-expenses&ticker=FTNT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=FTNT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();