Fortinet (FTNT) Non Operating Interest Expenses (2021 - 2026)
Fortinet (FTNT) recorded Non Operating Interest Expenses of $3.2 million in Q2 2026, down 30.4% from $4.6 million a year earlier and down 23.8% from the prior quarter.
Fortinet (FTNT) Non Operating Interest Expenses (2021 - 2026) Analysis & Trends
On a TTM basis, Fortinet's Non Operating Interest Expenses came in at $18 million as of Jun 30, 2026, down 7.2% year-over-year; for FY2025, it was $20.1 million, up 0.5% from FY2024.
- Annual Non Operating Interest Expenses has a four-year compound annual growth rate of 7.8% (FY2021 to FY2025).
- Across earlier years, Non Operating Interest Expenses came in at $20 million in FY2024 (-4.8%), $21 million in FY2023 (+16.7%), $18 million in FY2022 (+20.8%) and $14.9 million in FY2021.
- The Q2 2026 figure is the lowest quarterly Non Operating Interest Expenses since Q1 2021.
- On a year-over-year basis, Non Operating Interest Expenses has declined for three consecutive quarters, with an average decline of 7.4% over the last eight quarters.
- Peak year-over-year performance for Non Operating Interest Expenses in the last five years was growth of 246.2% in Q1 2022, against a decline of 30.4% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $4.2 million (Q1 2026), $4.4 million (Q4 2025) and $6.2 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 255.53 Bn | 240.60 Bn | 2.30 Bn | - |
| 2 | CrowdStrike Holdings | 230.03 Bn | 210.43 Bn | 1.10 Bn | 6.05 Mn |
| 3 | Fortinet | 123.13 Bn | 109.06 Bn | 1.64 Bn | 3.20 Mn |
| 4 | Snowflake | 107.35 Bn | 94.67 Bn | 1.04 Bn | 2.08 Mn |
| 5 | Datadog | 87.69 Bn | 69.33 Bn | 881.34 Mn | 3.26 Mn |
| 6 | Zscaler | 32.63 Bn | 18.74 Bn | - | - |
| 7 | Okta | 32.61 Bn | 22.70 Bn | 641.00 Mn | -19.00 Mn |
| 8 | Axon Enterprise | 32.22 Bn | 26.75 Bn | 546.45 Mn | 28.10 Mn |
| 9 | MongoDB | 26.93 Bn | 17.40 Bn | 569.77 Mn | 924,000.00 |
| 10 | F5 | 24.99 Bn | 19.40 Bn | 711.51 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.20 Mn |
| Mar 31, 2026 | 4.20 Mn |
| Dec 31, 2025 | 4.40 Mn |
| Sep 30, 2025 | 6.20 Mn |
| Jun 30, 2025 | 4.60 Mn |
| Mar 31, 2025 | 4.90 Mn |
| Dec 31, 2024 | 4.90 Mn |
| Sep 30, 2024 | 5.00 Mn |
| Jun 30, 2024 | 5.00 Mn |
| Mar 31, 2024 | 5.10 Mn |
| Dec 31, 2023 | 5.40 Mn |
| Sep 30, 2023 | 5.40 Mn |
| Jun 30, 2023 | 5.20 Mn |
| Mar 31, 2023 | 5.00 Mn |
| Dec 31, 2022 | 4.50 Mn |
| Sep 30, 2022 | 4.50 Mn |
| Jun 30, 2022 | 4.50 Mn |
| Mar 31, 2022 | 4.50 Mn |
| Dec 31, 2021 | 4.50 Mn |
| Sep 30, 2021 | 4.60 Mn |
Fortinet Non Operating Interest 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=non-operating-interest-expenses&ticker=FTNT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=FTNT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();