Fortinet (FTNT) Accumulated Expenses (2010 - 2026)
Fortinet (FTNT) posted Accumulated Expenses of $393.7 million for Q2 2026, up 7.54% on a QoQ basis from $366.1 million in Q1 2026, and up 16.1% year-over-year from $339.1 million in Q2 2025.
Fortinet (FTNT) Accumulated Expenses (2010 - 2026) Analysis & Trends
Fortinet has reported Accumulated Expenses for 17 years, with the latest figure at $393.7 million in Q2 2026.
- On a quarterly basis, Accumulated Expenses rose 16.1% year-over-year to $393.7 million in Q2 2026; TTM through Jun 2026 was $393.7 million, a 16.1% increase from a year earlier, with the FY2025 full-year figure at $354.6 million, up 4.94% from the prior year.
- Accumulated Expenses was $393.7 million for Q2 2026 at Fortinet, up from $366.1 million in the prior quarter.
- The five-year high for Accumulated Expenses was $538.7 million in Q1 2024, with the low at $241.2 million in Q2 2022.
- Average Accumulated Expenses over 5 years is $345.6 million, with a median of $342.9 million recorded in 2023.
- The sharpest annual moves came in 2022 and 2025: Accumulated Expenses soared 82.54% in 2022, then declined 22.96% in 2025.
- Over 5 years, Accumulated Expenses stood at $266.3 million in 2022, then surged by 59.11% to $423.7 million in 2023, then dropped by 20.25% to $337.9 million in 2024, then advanced by 4.94% to $354.6 million in 2025, then increased by 11.03% to $393.7 million in 2026.
- The last three Accumulated Expenses figures came in at $393.7 million (Q2 2026), $366.1 million (Q1 2026), and $354.6 million (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 320.54 Bn | 317.47 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 268.77 Bn | 263.80 Bn | 1.10 Bn |
| 3 | Fortinet | 131.12 Bn | 127.05 Bn | 1.64 Bn |
| 4 | Snowflake | 118.02 Bn | 115.67 Bn | 1.04 Bn |
| 5 | Datadog | 90.27 Bn | 85.29 Bn | 881.34 Mn |
| 6 | Axon Enterprise | 36.61 Bn | 35.93 Bn | 546.45 Mn |
| 7 | Zscaler | 34.97 Bn | 31.49 Bn | - |
| 8 | MongoDB | 34.51 Bn | 32.10 Bn | 569.77 Mn |
| 9 | Okta | 34.32 Bn | 32.02 Bn | 641.00 Mn |
| 10 | Baidu | 30.55 Bn | 8.15 Bn | 1.76 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 247.80 Mn |
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_KEY
import 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();