Wipro (WIT) Return on Capital Employed [ROCE] (2009 - 2026)
Wipro (WIT) reported Return on Capital Employed [ROCE] of 17.56% for fiscal Q2 2027 (quarter ended Sep 30, 2026), up 1.80 percentage points from 15.76% a year earlier and up 0.96 percentage points from the prior quarter.
Wipro (WIT) Return on Capital Employed [ROCE] (2009 - 2026) Analysis & Trends
For FY2026 (ended Mar 31, 2026), Wipro posted Return on Capital Employed [ROCE] of 14.93%, down 1.03 percentage points from FY2025.
- Return on Capital Employed [ROCE] has a five-year change of -5.88 percentage points (FY2021 to FY2026).
- By fiscal year, Return on Capital Employed [ROCE] came in at 15.96% in FY2025 (+1.17 pp), 14.79% in FY2024 (-0.64 pp), 15.44% in FY2023 (-5.74 pp) and 21.17% in FY2022 (+0.36 pp).
- The fiscal Q2 2027 figure ranks as the highest quarterly Return on Capital Employed [ROCE] since fiscal Q2 2024.
- Year over year, Return on Capital Employed [ROCE] gained in five of the last six quarters, with an average year-over-year change of +0.78 percentage points.
- The high point for year-over-year Return on Capital Employed [ROCE] in five years was fiscal Q1 2024 (a gain of 50.27 percentage points); the low point was fiscal Q1 2025 (a drop of 52.92 percentage points).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at 16.59% (Q1 2027), 15.21% (Q4 2026) and 15.56% (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 50.63 Bn | 37.13 Bn | 1.60 Bn | 802.09% |
| 2 | Cognizant Technology Solutions | 32.98 Bn | 26.14 Bn | 1.83 Bn | 19.98% |
| 3 | Wipro | 22.16 Bn | 17.30 Bn | 745.00 Mn | 17.56% |
| 4 | Cdw | 20.87 Bn | 18.86 Bn | 1.32 Bn | 19.62% |
| 5 | Td Synnex | 19.65 Bn | 13.80 Bn | 1.43 Bn | 16.31% |
| 6 | Cgi | 18.30 Bn | 16.09 Bn | - | 15.88% |
| 7 | Arrow Electronics | 10.71 Bn | 9.66 Bn | 1.13 Bn | 14.39% |
| 8 | Avnet | 7.24 Bn | 6.42 Bn | 865.03 Mn | 10.42% |
| 9 | EPAM Systems | 7.10 Bn | 2.73 Bn | 429.57 Mn | 14.69% |
| 10 | ExlService Holdings | 6.46 Bn | 5.20 Bn | 225.96 Mn | 33.05% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 17.56% |
| Jun 30, 2026 | 16.59% |
| Mar 31, 2026 | 15.21% |
| Dec 31, 2025 | 15.56% |
| Sep 30, 2025 | 15.76% |
| Jun 30, 2025 | 15.78% |
| Mar 31, 2025 | 15.26% |
| Dec 31, 2024 | 14.90% |
| Sep 30, 2024 | 15.00% |
| Jun 30, 2024 | 15.09% |
| Sep 30, 2023 | 60.39% |
| Jun 30, 2023 | 68.00% |
| Mar 31, 2023 | 59.46% |
| Dec 31, 2022 | 39.01% |
| Sep 30, 2022 | 17.22% |
| Jun 30, 2022 | 17.73% |
| Mar 31, 2022 | 19.05% |
| Dec 31, 2021 | 18.98% |
| Sep 30, 2021 | 19.40% |
| Jun 30, 2021 | 20.11% |
Wipro Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=WIT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=WIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();