Wipro (WIT) Return on Equity [ROE] (2009 - 2026)
Wipro (WIT) posted Return on Equity [ROE] of 16.16% for the quarter ended Jun 30, 2026, up 0.04 percentage points from 16.13% a year earlier and up 1.12 percentage points from the prior quarter.
Wipro (WIT) Return on Equity [ROE] (2009 - 2026) Analysis & Trends
For the year ended Mar 31, 2026, Wipro's Return on Equity [ROE] came in at 14.74%, down 1.77 percentage points from the prior year.
- Annual Return on Equity [ROE] shows a five-year change of -5.07 percentage points (years ended Mar 2021 to Mar 2026).
- In prior years, Wipro's Return on Equity [ROE] was 16.51% in the year ended Mar 31, 2025 (+2.12 pp), 14.39% in the year ended Mar 31, 2024 (-0.81 pp), 15.20% in the year ended Mar 31, 2023 (-4.62 pp) and 19.82% in the year ended Mar 31, 2022 (+0.01 pp).
- The figure for the quarter ended Jun 30, 2026 stands as the highest quarterly Return on Equity [ROE] since the quarter ended Mar 31, 2024.
- On a year-over-year basis, Return on Equity [ROE] increased in four of the last eight quarters, with an average year-over-year change of -3.93 percentage points.
- The strongest year-over-year quarter for Return on Equity [ROE] in the past five years was the quarter ended Dec 31, 2023, with a gain of 16.56 percentage points; the weakest was the quarter ended Dec 31, 2024, with a drop of 17.50 percentage points.
- According to Business Quant data, Return on Equity [ROE] for the three prior quarters was 15.04% (quarter ended Mar 31, 2026), 15.49% (quarter ended Dec 31, 2025) and 15.85% (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROE (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 43.52 Bn | 43.57 Bn | 1.60 Bn | 1,613.68% |
| 2 | Cognizant Technology Solutions | 25.96 Bn | 19.13 Bn | 1.83 Bn | 15.04% |
| 3 | Td Synnex | 20.53 Bn | 14.56 Bn | 1.34 Bn | 12.81% |
| 4 | Cdw | 16.06 Bn | 14.05 Bn | 1.32 Bn | 43.20% |
| 5 | Cgi | 15.14 Bn | 12.92 Bn | - | - |
| 6 | Arrow Electronics | 11.55 Bn | 10.58 Bn | 1.13 Bn | 11.68% |
| 7 | Avnet | 8.20 Bn | 7.38 Bn | 865.03 Mn | 6.70% |
| 8 | Ingram Micro Holding | 6.32 Bn | 1.92 Bn | 958.68 Mn | 10.15% |
| 9 | EPAM Systems | 5.59 Bn | 1.23 Bn | 429.57 Mn | 11.56% |
| 10 | Wipro | 173.06 Mn | -5.18 Bn | 738.00 Mn | 16.16% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.16% |
| Mar 31, 2026 | 15.04% |
| Dec 31, 2025 | 15.49% |
| Sep 30, 2025 | 15.85% |
| Jun 30, 2025 | 16.13% |
| Mar 31, 2025 | 15.90% |
| Dec 31, 2024 | 14.97% |
| Sep 30, 2024 | 14.79% |
| Jun 30, 2024 | 14.71% |
| Mar 31, 2024 | 29.68% |
| Dec 31, 2023 | 32.48% |
| Sep 30, 2023 | 17.14% |
| Jun 30, 2023 | 16.23% |
| Mar 31, 2023 | 15.11% |
| Dec 31, 2022 | 15.92% |
| Sep 30, 2022 | 16.43% |
| Jun 30, 2022 | 17.37% |
| Mar 31, 2022 | 18.78% |
| Dec 31, 2021 | 19.13% |
| Sep 30, 2021 | 20.08% |
Wipro 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=WIT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-equity-[roe]", "ticker": "WIT", "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=WIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();