Formula Systems (1985) (FORTY) Exchange Rate Effect (2017 - 2018)
Formula Systems (1985)'s Exchange Rate Effect came in at $49.74 million for FY2025, compared with -$5.45 million in FY2024.
Analysis
Formula Systems (1985) (FORTY) Exchange Rate Effect (2017 - 2018) Analysis & Trends
Going back to FY2009, Formula Systems (1985)'s Exchange Rate Effect data covers 17 years.
- Exchange Rate Effect carries a five-year compound annual growth rate of 32.6% (FY2020 to FY2025).
- The FY2025 figure represents the highest annual Exchange Rate Effect in data going back to FY2009.
- Per Business Quant, earlier years put Exchange Rate Effect at -$5.45 million in FY2024, -$4.95 million in FY2023, -$34.91 million in FY2022 and -$1.03 million in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 52.56 Bn | 39.06 Bn | 1.60 Bn | 10.00 Mn |
| 2 | Cognizant Technology Solutions | 32.36 Bn | 25.53 Bn | 1.83 Bn | -1.00 Mn |
| 3 | Wipro | 22.00 Bn | 16.70 Bn | 738.00 Mn | -1.92 Mn |
| 4 | Td Synnex | 19.90 Bn | 14.06 Bn | 1.43 Bn | -7.33 Mn |
| 5 | Cdw | 19.84 Bn | 17.82 Bn | 1.32 Bn | -800,000.00 |
| 6 | Cgi | 17.65 Bn | 15.44 Bn | - | 1.05 Bn |
| 7 | Arrow Electronics | 11.17 Bn | 10.12 Bn | 1.13 Bn | -6.98 Mn |
| 8 | Avnet | 7.57 Bn | 6.75 Bn | 865.03 Mn | 1.70 Mn |
| 9 | EPAM Systems | 7.00 Bn | 2.64 Bn | 429.57 Mn | 3.75 Mn |
| 10 | Formula Systems (1985) | 1.83 Bn | -1.52 Bn | 158.43 Mn | - |
API Access
Formula Systems (1985) 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=FORTY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "FORTY", "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=FORTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();