Wipro (WIT) Return on Sales [ROS] (2009 - 2026)
Wipro (WIT) posted Return on Sales [ROS] of 16.42% for fiscal Q2 2027 (quarter ended Sep 30, 2026), down 0.28 percentage points from 16.70% a year earlier but up 0.41 percentage points from the prior quarter.
Wipro (WIT) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Return on Sales [ROS] at Wipro was 16.22%, down 0.70 percentage points year-over-year; for FY2026 (ended Mar 31, 2026), it was 16.33%, down 0.65 percentage points from FY2025.
- Annual Return on Sales [ROS] shows a five-year change of -3.22 percentage points (FY2021 to FY2026).
- In prior fiscal years, Wipro's Return on Sales [ROS] was 16.98% in FY2025 (+1.82 pp), 15.16% in FY2024 (-0.27 pp), 15.43% in FY2023 (-2.31 pp) and 17.74% in FY2022 (-1.82 pp).
- Quarterly Return on Sales [ROS] has run from a low of 14.42% in fiscal Q2 2023 to a high of 100.60% in fiscal Q3 2023 over five years.
- On a year-over-year basis, Return on Sales [ROS] has declined in each of the last four quarters, with an average year-over-year change of +0.14 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was fiscal Q4 2023, with a gain of 83.60 percentage points; the weakest was fiscal Q3 2024, with a drop of 85.80 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior fiscal quarters was 16.01% (Q1 2027), 17.31% (Q4 2026) and 15.18% (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 50.59 Bn | 37.09 Bn | 1.60 Bn | 21.09% |
| 2 | Cognizant Technology Solutions | 32.87 Bn | 26.04 Bn | 1.83 Bn | 15.95% |
| 3 | Wipro | 22.10 Bn | 17.25 Bn | 745.00 Mn | 16.42% |
| 4 | Cdw | 20.94 Bn | 18.92 Bn | 1.32 Bn | 6.52% |
| 5 | Td Synnex | 19.62 Bn | 13.78 Bn | 1.43 Bn | 2.98% |
| 6 | Cgi | 18.25 Bn | 16.05 Bn | - | 15.85% |
| 7 | Arrow Electronics | 10.72 Bn | 9.67 Bn | 1.13 Bn | 3.78% |
| 8 | Avnet | 7.23 Bn | 6.41 Bn | 865.03 Mn | 2.79% |
| 9 | EPAM Systems | 7.08 Bn | 2.72 Bn | 429.57 Mn | 10.76% |
| 10 | ExlService Holdings | 6.44 Bn | 5.18 Bn | 225.96 Mn | 14.68% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 16.42% |
| Jun 30, 2026 | 16.01% |
| Mar 31, 2026 | 17.31% |
| Dec 31, 2025 | 15.18% |
| Sep 30, 2025 | 16.70% |
| Jun 30, 2025 | 16.14% |
| Mar 31, 2025 | 17.39% |
| Dec 31, 2024 | 17.46% |
| Sep 30, 2024 | 16.67% |
| Jun 30, 2024 | 16.39% |
| Mar 31, 2024 | 15.93% |
| Dec 31, 2023 | 14.80% |
| Sep 30, 2023 | 14.81% |
| Jun 30, 2023 | 15.12% |
| Mar 31, 2023 | 100.43% |
| Dec 31, 2022 | 100.60% |
| Sep 30, 2022 | 14.42% |
| Jun 30, 2022 | 14.81% |
| Mar 31, 2022 | 16.83% |
| Dec 31, 2021 | 17.49% |
Wipro Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=WIT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=WIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();