Infosys (INFY) Exchange Rate Effect (2009 - 2026)
Infosys' Exchange Rate Effect came in at $10 million for the quarter ended Jun 30, 2026, down 41.2% from $17 million a year earlier.
Powered by 
Analysis
Infosys (INFY) Exchange Rate Effect (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Infosys reported Exchange Rate Effect of -$91 million; for the year ended Mar 31, 2026, it was -$84 million.
- Going back by year, Exchange Rate Effect was -$27 million in the year ended Mar 31, 2025, -$32 million in the year ended Mar 31, 2024, -$171 million in the year ended Mar 31, 2023 and -$90 million in the year ended Mar 31, 2022.
- The five-year range for quarterly Exchange Rate Effect is -$6.93 billion (the quarter ended Dec 31, 2025) to $6.83 billion (the quarter ended Sep 30, 2025).
- Business Quant data shows INFY's Exchange Rate Effect at -$3 million (quarter ended Mar 31, 2026), -$6.93 billion (quarter ended Dec 31, 2025) and $6.83 billion (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 52.40 Bn | 38.90 Bn | 1.60 Bn | 10.00 Mn |
| 2 | Cognizant Technology Solutions | 32.46 Bn | 25.62 Bn | 1.83 Bn | -1.00 Mn |
| 3 | Wipro | 22.47 Bn | 17.61 Bn | 745.00 Mn | 8.19 Mn |
| 4 | Cdw | 20.15 Bn | 18.14 Bn | 1.32 Bn | -800,000.00 |
| 5 | Td Synnex | 19.94 Bn | 14.10 Bn | 1.43 Bn | -7.33 Mn |
| 6 | Cgi | 17.74 Bn | 15.53 Bn | - | 1.05 Bn |
| 7 | Arrow Electronics | 11.21 Bn | 10.16 Bn | 1.13 Bn | -6.98 Mn |
| 8 | Avnet | 7.65 Bn | 6.83 Bn | 865.03 Mn | 1.70 Mn |
| 9 | EPAM Systems | 7.01 Bn | 2.65 Bn | 429.57 Mn | 3.75 Mn |
| 10 | Ingram Micro Holding | 6.40 Bn | 2.00 Bn | 958.68 Mn | 11.21 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.00 Mn |
| Mar 31, 2026 | -8.62 Bn |
| Dec 31, 2025 | 1.69 Bn |
| Sep 30, 2025 | 6.83 Bn |
| Jun 30, 2025 | 17.00 Mn |
| Mar 31, 2025 | 60.00 Mn |
| Dec 31, 2024 | -697.00 Mn |
| Sep 30, 2024 | 614.00 Mn |
| Jun 30, 2024 | -4.00 Mn |
| Mar 31, 2024 | -202.00 Mn |
| Dec 31, 2023 | 189.00 Mn |
| Sep 30, 2023 | -26.00 Mn |
| Jun 30, 2023 | 7.00 Mn |
| Mar 31, 2023 | 27.00 Mn |
| Dec 31, 2022 | -29.00 Mn |
| Sep 30, 2022 | -65.00 Mn |
| Jun 30, 2022 | -104.00 Mn |
| Mar 31, 2022 | -29.00 Mn |
| Dec 31, 2021 | -7.00 Mn |
| Sep 30, 2021 | -8.00 Mn |
API Access
Infosys 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=INFY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "INFY", "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=INFY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();