Infosys (INFY) Return on Equity [ROE] (2009 - 2026)
Infosys (INFY) reported Return on Equity [ROE] of 1613.68% for the quarter ended Jun 30, 2026, up 1019.57 percentage points from 594.11% a year earlier but down 32.25 percentage points from the prior quarter.
Infosys (INFY) Return on Equity [ROE] (2009 - 2026) Analysis & Trends
For the year ended Mar 31, 2026, Infosys posted Return on Equity [ROE] of 2794.41%, up 2767.18 percentage points from the prior year.
- Return on Equity [ROE] has a five-year change of +771.49 percentage points (years ended Mar 2021 to Mar 2026).
- By year, Return on Equity [ROE] came in at 27.23% in the year ended Mar 31, 2025 (-3.91 pp), 31.14% in the year ended Mar 31, 2024 (+7.75 pp), 23.38% in the year ended Mar 31, 2023 (-2129.41 pp) and 2152.79% in the year ended Mar 31, 2022 (+129.88 pp).
- Five-year quarterly Return on Equity [ROE] spans a low of 29.89% in the quarter ended Jun 30, 2024 and a high of 1645.93% in the quarter ended Mar 31, 2026.
- Year over year, Return on Equity [ROE] has now increased in each of the last six quarters, with an average year-over-year change of +473.55 percentage points over the last eight quarters.
- The high point for year-over-year Return on Equity [ROE] in five years was the quarter ended Sep 30, 2025 (a gain of 1187.37 percentage points); the low point was the quarter ended Mar 31, 2024 (a drop of 1217.88 percentage points).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at 1645.93% (quarter ended Mar 31, 2026), 726.64% (quarter ended Dec 31, 2025) and 1218.69% (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROE (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 53.43 Bn | 39.92 Bn | 1.60 Bn | 13,073.94% |
| 2 | Cognizant Technology Solutions | 33.48 Bn | 26.64 Bn | 1.83 Bn | 15.04% |
| 3 | Wipro | 22.63 Bn | 17.77 Bn | 745.00 Mn | 17.12% |
| 4 | Cdw | 20.13 Bn | 18.12 Bn | 1.32 Bn | 43.20% |
| 5 | Td Synnex | 19.27 Bn | 13.43 Bn | 1.43 Bn | 14.53% |
| 6 | Cgi | 18.08 Bn | 15.88 Bn | - | - |
| 7 | Arrow Electronics | 10.67 Bn | 9.61 Bn | 1.13 Bn | 11.68% |
| 8 | Avnet | 7.21 Bn | 6.39 Bn | 865.03 Mn | 6.70% |
| 9 | EPAM Systems | 7.08 Bn | 2.72 Bn | 429.57 Mn | 11.56% |
| 10 | ExlService Holdings | 6.49 Bn | 5.23 Bn | 225.96 Mn | 30.40% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13,073.94% |
| Mar 31, 2026 | 9,085.07% |
| Jun 30, 2025 | 94.81% |
| Mar 31, 2025 | 95.67% |
| Jun 30, 2024 | 103.37% |
| Mar 31, 2024 | 101.28% |
| Mar 31, 2023 | 2,633.17% |
| Mar 31, 2022 | 90.32% |
| Jun 30, 2021 | 2,934.44% |
| Mar 31, 2021 | 3,997.40% |
| Jun 30, 2020 | 6,639.50% |
| Mar 31, 2020 | 1,955.23% |
| Jun 30, 2019 | 1,254.62% |
| Mar 31, 2019 | 1,218.84% |
| Dec 31, 2018 | 3,772.47% |
| Sep 30, 2018 | 3,202.40% |
| Jun 30, 2018 | 825.02% |
| Mar 31, 2018 | 1,883.03% |
| Mar 31, 2017 | 3,540.02% |
| Mar 31, 2016 | 3,732.71% |
Infosys Return on Equity [ROE] 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=return-on-equity-%5Broe%5D&ticker=INFY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-equity-[roe]", "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=return-on-equity-%5Broe%5D&ticker=INFY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();