FiEE (FIEE) Exchange Rate Effect (2010 - 2025)
FiEE's Exchange Rate Effect came in at -$11,398 for Q4 2025.
Analysis
FiEE (FIEE) Exchange Rate Effect (2010 - 2025) Analysis & Trends
For FY2025, FiEE's Exchange Rate Effect was -$8,922.
- The Q4 2025 figure represents the lowest quarterly Exchange Rate Effect in data going back to Q1 2010.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 42.66 Bn | 42.72 Bn | 1.60 Bn | 10.00 Mn |
| 2 | Cognizant Technology Solutions | 25.65 Bn | 18.82 Bn | 1.83 Bn | -1.00 Mn |
| 3 | Td Synnex | 20.51 Bn | 14.54 Bn | 1.34 Bn | -9.41 Mn |
| 4 | Cdw | 16.33 Bn | 14.32 Bn | 1.32 Bn | -800,000.00 |
| 5 | Cgi | 15.07 Bn | 12.85 Bn | - | 12.58 Mn |
| 6 | Arrow Electronics | 11.72 Bn | 10.75 Bn | 1.13 Bn | -6.98 Mn |
| 7 | Avnet | 8.33 Bn | 7.51 Bn | 865.03 Mn | 1.70 Mn |
| 8 | Ingram Micro Holding | 6.23 Bn | 1.84 Bn | 958.68 Mn | 11.21 Mn |
| 9 | EPAM Systems | 5.55 Bn | 1.19 Bn | 429.57 Mn | 3.75 Mn |
| 10 | FiEE | 31.04 Mn | 11.99 Mn | 3.87 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -11,398.00 |
| Sep 30, 2025 | 514.00 |
| Dec 31, 2014 | -3,450.00 |
| Sep 30, 2014 | -1,431.00 |
| Jun 30, 2014 | 1,030.00 |
| Mar 31, 2014 | 230.00 |
| Dec 31, 2013 | 927.00 |
| Sep 30, 2013 | 1,379.00 |
| Jun 30, 2013 | -1,189.00 |
| Mar 31, 2013 | 1,217.00 |
| Dec 31, 2012 | -130.00 |
| Sep 30, 2012 | -274.00 |
| Jun 30, 2012 | 736.00 |
| Mar 31, 2012 | -614.00 |
| Dec 31, 2011 | -3,170.00 |
| Sep 30, 2011 | 4,035.00 |
| Jun 30, 2011 | 107.00 |
| Mar 31, 2011 | -560.00 |
| Dec 31, 2010 | 898.00 |
| Sep 30, 2010 | 688.00 |
API Access
FiEE 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=FIEE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "FIEE", "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=FIEE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();