Fortinet (FTNT) Exchange Rate Effect (2010 - 2025)
Fortinet (FTNT) posted Exchange Rate Effect of -$1.6 million for Q4 2025, down 433.33% on a QoQ basis from -$300000.0 in Q3 2025, and up 30.43% year-over-year from -$1.2 million in Q4 2024.
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Analysis
Fortinet (FTNT) Exchange Rate Effect (2010 - 2025) Analysis & Trends
Fortinet has reported Exchange Rate Effect for 10 years, with the latest figure at -$1.6 million in Q4 2025.
- On a quarterly basis, Exchange Rate Effect rose 30.43% year-over-year to -$1.6 million in Q4 2025; TTM through Jun 2026 was -$1.9 million, a 272.73% decrease from a year earlier, with the FY2025 full-year figure at -$600000.0, up 76.92% from the prior year.
- Exchange Rate Effect was -$1.6 million for Q4 2025 at Fortinet, down from -$300000.0 in the prior quarter.
- The five-year high for Exchange Rate Effect was $2.1 million in Q3 2024, with the low at -$2.3 million in Q4 2024.
- Average Exchange Rate Effect over 5 years is -$250000.0, with a median of -$300000.0 recorded in 2021.
- The largest YoY upside for Exchange Rate Effect was 450.0% in 2024 against a maximum downside of 1300.0% in 2024.
- Over 5 years, Exchange Rate Effect stood at -$300000.0 in 2021, then soared by 366.67% to $800000.0 in 2022, then soared by 37.5% to $1.1 million in 2023, then plunged by 309.09% to -$2.3 million in 2024, then surged by 30.43% to -$1.6 million in 2025.
- The last three Exchange Rate Effect figures came in at -$1.6 million (Q4 2025), -$300000.0 (Q3 2025), and $400000.0 (Q2 2025), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 320.54 Bn | 317.47 Bn | 2.30 Bn | -5.00 Mn |
| 2 | CrowdStrike Holdings | 268.77 Bn | 263.80 Bn | 1.10 Bn | -1.73 Mn |
| 3 | Fortinet | 131.12 Bn | 127.05 Bn | 1.64 Bn | - |
| 4 | Snowflake | 118.02 Bn | 115.67 Bn | 1.04 Bn | -1.86 Mn |
| 5 | Datadog | 90.27 Bn | 85.29 Bn | 881.34 Mn | 782,000.00 |
| 6 | Axon Enterprise | 36.61 Bn | 35.93 Bn | 546.45 Mn | -2.45 Mn |
| 7 | Zscaler | 34.97 Bn | 31.49 Bn | - | - |
| 8 | MongoDB | 34.51 Bn | 32.10 Bn | 569.77 Mn | -2.18 Mn |
| 9 | Okta | 34.32 Bn | 32.02 Bn | 641.00 Mn | -3.00 Mn |
| 10 | Baidu | 30.55 Bn | 8.15 Bn | 1.76 Mn | -31.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -1.60 Mn |
| Sep 30, 2025 | -300,000.00 |
| Jun 30, 2025 | 400,000.00 |
| Mar 31, 2025 | 900,000.00 |
| Dec 31, 2024 | -2.30 Mn |
| Sep 30, 2024 | 2.10 Mn |
| Jun 30, 2024 | -1.00 Mn |
| Mar 31, 2024 | -1.40 Mn |
| Dec 31, 2023 | 1.10 Mn |
| Sep 30, 2023 | -600,000.00 |
| Jun 30, 2023 | -1.20 Mn |
| Mar 31, 2023 | -100,000.00 |
| Dec 31, 2022 | 800,000.00 |
| Sep 30, 2022 | -200,000.00 |
| Jun 30, 2022 | -700,000.00 |
| Mar 31, 2022 | -300,000.00 |
| Dec 31, 2021 | -300,000.00 |
| Sep 30, 2021 | 200,000.00 |
| Jun 30, 2014 | -45,000.00 |
| Mar 31, 2014 | -555,000.00 |
API Access
Fortinet Exchange Rate Effect 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=exchange-rate-effect&ticker=FTNT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=FTNT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();