Wipro (WIT) Return on Assets [ROA] (2009 - 2026)
Wipro (WIT) recorded Return on Assets [ROA] of 9.84% in the quarter ended Jun 30, 2026, down 0.74 percentage points from 10.58% a year earlier but up 0.34 percentage points from the prior quarter.
Wipro (WIT) Return on Assets [ROA] (2009 - 2026) Analysis & Trends
For the year ended Mar 31, 2026, Wipro reported Return on Assets [ROA] of 9.37%, down 1.34 percentage points from the prior year.
- Annual Return on Assets [ROA] has a five-year change of -4.02 percentage points (years ended Mar 2021 to Mar 2026).
- Across earlier years, Return on Assets [ROA] came in at 10.71% in the year ended Mar 31, 2025 (+1.23 pp), 9.48% in the year ended Mar 31, 2024 (-0.22 pp), 9.70% in the year ended Mar 31, 2023 (-2.90 pp) and 12.60% in the year ended Mar 31, 2022 (-0.79 pp).
- Quarterly Return on Assets [ROA] has ranged from 9.49% in the quarter ended Mar 31, 2026 to 12.87% in the quarter ended Sep 30, 2021 over the past five years.
- On a year-over-year basis, Return on Assets [ROA] rose in three of the last six quarters, with an average year-over-year change of -0.03 percentage points.
- Peak year-over-year performance for Return on Assets [ROA] in the last five years was a gain of 1.30 percentage points in the quarter ended Sep 30, 2021, against a drop of 2.58 percentage points in the quarter ended Sep 30, 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at 9.49% (quarter ended Mar 31, 2026), 10.03% (quarter ended Dec 31, 2025) and 10.50% (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 43.52 Bn | 43.57 Bn | 1.60 Bn | 959.88% |
| 2 | Cognizant Technology Solutions | 25.96 Bn | 19.13 Bn | 1.83 Bn | 10.74% |
| 3 | Td Synnex | 20.53 Bn | 14.56 Bn | 1.34 Bn | 3.09% |
| 4 | Cdw | 16.06 Bn | 14.05 Bn | 1.32 Bn | 6.40% |
| 5 | Cgi | 15.14 Bn | 12.92 Bn | - | - |
| 6 | Arrow Electronics | 11.55 Bn | 10.58 Bn | 1.13 Bn | 2.18% |
| 7 | Avnet | 8.20 Bn | 7.38 Bn | 865.03 Mn | 2.31% |
| 8 | Ingram Micro Holding | 6.32 Bn | 1.92 Bn | 958.68 Mn | 2.03% |
| 9 | EPAM Systems | 5.59 Bn | 1.23 Bn | 429.57 Mn | 8.66% |
| 10 | Wipro | 173.06 Mn | -5.18 Bn | 738.00 Mn | 9.84% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.84% |
| Mar 31, 2026 | 9.49% |
| Dec 31, 2025 | 10.03% |
| Sep 30, 2025 | 10.50% |
| Jun 30, 2025 | 10.58% |
| Mar 31, 2025 | 10.36% |
| Dec 31, 2024 | 9.79% |
| Sep 30, 2024 | 9.66% |
| Jun 30, 2024 | 9.62% |
| Sep 30, 2023 | 10.26% |
| Jun 30, 2023 | 9.91% |
| Mar 31, 2023 | 9.92% |
| Dec 31, 2022 | 10.16% |
| Sep 30, 2022 | 10.29% |
| Jun 30, 2022 | 10.72% |
| Mar 31, 2022 | 11.76% |
| Dec 31, 2021 | 12.34% |
| Sep 30, 2021 | 12.87% |
| Jun 30, 2021 | 13.20% |
| Mar 31, 2021 | 12.29% |
Wipro Return on Assets [ROA] 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-assets-%5Broa%5D&ticker=WIT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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-assets-%5Broa%5D&ticker=WIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();