Wipro (WIT) Return on Assets [ROA] (2009 - 2026)
Wipro (WIT) recorded Return on Assets [ROA] of 10.06% in fiscal Q2 2027 (quarter ended Sep 30, 2026), down 0.43 percentage points from 10.49% a year earlier but up 0.06 percentage points from the prior quarter.
Wipro (WIT) Return on Assets [ROA] (2009 - 2026) Analysis & Trends
For FY2026 (ended Mar 31, 2026), Wipro reported Return on Assets [ROA] of 9.37%, down 1.34 percentage points from FY2025.
- Annual Return on Assets [ROA] has a five-year change of -4.02 percentage points (FY2021 to FY2026).
- Across earlier fiscal years, Return on Assets [ROA] came in at 10.71% in FY2025 (+1.23 pp), 9.48% in FY2024 (-0.22 pp), 9.70% in FY2023 (-2.90 pp) and 12.60% in FY2022 (-0.79 pp).
- Quarterly Return on Assets [ROA] has ranged from 9.64% in fiscal Q1 2025 to 12.32% in fiscal Q3 2022 over the past five years.
- On a year-over-year basis, Return on Assets [ROA] has declined for three consecutive quarters, with an average year-over-year change of +0.03 percentage points over the last six quarters.
- Peak year-over-year performance for Return on Assets [ROA] in the last five years was a gain of 1.01 percentage points in fiscal Q3 2022, against a drop of 2.42 percentage points in fiscal Q2 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 10.00% (Q1 2027), 9.64% (Q4 2026) and 10.03% (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 51.92 Bn | 38.42 Bn | 1.60 Bn | 1,848.80% |
| 2 | Cognizant Technology Solutions | 32.86 Bn | 26.03 Bn | 1.83 Bn | 10.74% |
| 3 | Wipro | 22.00 Bn | 17.14 Bn | 745.00 Mn | 10.06% |
| 4 | Cdw | 20.68 Bn | 18.67 Bn | 1.32 Bn | 6.40% |
| 5 | Td Synnex | 19.81 Bn | 13.97 Bn | 1.43 Bn | 3.30% |
| 6 | Cgi | 18.27 Bn | 16.07 Bn | - | 7.74% |
| 7 | Arrow Electronics | 10.78 Bn | 9.73 Bn | 1.13 Bn | 2.18% |
| 8 | Avnet | 7.31 Bn | 6.49 Bn | 865.03 Mn | 2.31% |
| 9 | EPAM Systems | 6.98 Bn | 2.62 Bn | 429.57 Mn | 8.66% |
| 10 | Ingram Micro Holding | 6.42 Bn | 2.03 Bn | 958.68 Mn | 2.03% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 10.06% |
| Jun 30, 2026 | 10.00% |
| Mar 31, 2026 | 9.64% |
| Dec 31, 2025 | 10.03% |
| Sep 30, 2025 | 10.49% |
| Jun 30, 2025 | 10.50% |
| Mar 31, 2025 | 10.38% |
| Dec 31, 2024 | 9.87% |
| Sep 30, 2024 | 9.66% |
| Jun 30, 2024 | 9.64% |
| Sep 30, 2023 | 10.28% |
| Jun 30, 2023 | 9.90% |
| Mar 31, 2023 | 9.96% |
| Dec 31, 2022 | 10.32% |
| Sep 30, 2022 | 10.52% |
| Jun 30, 2022 | 10.88% |
| Mar 31, 2022 | 11.77% |
| Dec 31, 2021 | 12.32% |
| Sep 30, 2021 | 12.94% |
| Jun 30, 2021 | 13.30% |
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();