Wipro (WIT) Operating Margin (2009 - 2026)
Wipro (WIT) recorded Operating Margin of 16.42% in 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) Operating Margin (2009 - 2026) Analysis & Trends
On a TTM basis, Wipro's Operating Margin came in at 16.22% as of Sep 30, 2026, 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 Operating Margin has a five-year change of -3.54 percentage points (FY2021 to FY2026).
- Across earlier fiscal years, Operating Margin came in at 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 (-2.14 pp).
- Quarterly Operating Margin has ranged from 14.42% in fiscal Q2 2023 to 100.60% in fiscal Q3 2023 over the past five years.
- On a year-over-year basis, Operating Margin has declined for four consecutive quarters, with an average year-over-year change of +0.14 percentage points over the last eight quarters.
- Peak year-over-year performance for Operating Margin in the last five years was a gain of 83.60 percentage points in fiscal Q4 2023, against a drop of 85.80 percentage points in fiscal Q3 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 16.01% (Q1 2027), 17.31% (Q4 2026) and 15.18% (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 51.06 Bn | 16.35 Bn | 1.60 Bn | 20.97% |
| 2 | Cognizant Technology Solutions | 29.12 Bn | 23.09 Bn | 1.91 Bn | 15.40% |
| 3 | Cdw | 21.17 Bn | 18.07 Bn | 1.39 Bn | 7.25% |
| 4 | Td Synnex | 18.55 Bn | 12.71 Bn | 1.43 Bn | 2.98% |
| 5 | Cgi | 18.36 Bn | 16.16 Bn | - | - |
| 6 | Arrow Electronics | 9.82 Bn | 8.84 Bn | 1.16 Bn | 4.01% |
| 7 | EPAM Systems | 8.35 Bn | 4.26 Bn | 445.94 Mn | 12.33% |
| 8 | Avnet | 7.00 Bn | 6.12 Bn | 1.07 Bn | 4.43% |
| 9 | ExlService Holdings | 6.69 Bn | 5.49 Bn | 241.14 Mn | 14.02% |
| 10 | Wipro | 227.60 Mn | -4.61 Bn | 745.00 Mn | 16.42% |
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 Operating Margin 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=operating-margin&ticker=WIT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=WIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();