Wipro (WIT) Revenue (2009 - 2026)
Wipro's Revenue was $2.59 billion in the quarter ended Jun 30, 2026, unchanged from $2.59 billion a year earlier and up 0.1% from the prior quarter.
Wipro (WIT) Revenue (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Wipro's Revenue was $10.35 billion through Jun 30, 2026, down 1.7% year-over-year; for the year ended Mar 31, 2026, it came in at $9.87 billion, down 5.3% from the prior year.
- Revenue has now declined for three consecutive years, though with a five-year compound annual growth rate of 3.1% (years ended Mar 2021 to Mar 2026).
- In earlier years, Revenue was $10.43 billion in the year ended Mar 31, 2025 (-3.2%), $10.77 billion in the year ended Mar 31, 2024 (-2.2%), $11.01 billion in the year ended Mar 31, 2023 (+5.6%) and $10.43 billion in the year ended Mar 31, 2022 (+23.1%).
- Quarterly Revenue has moved between $2.56 billion (the quarter ended Sep 30, 2025) and $2.83 billion (the quarter ended Dec 31, 2022) over five years.
- The best year-over-year quarter for Revenue over five years was the quarter ended Sep 30, 2021 (growth of 30.8%); the worst was the quarter ended Dec 31, 2023 (a decline of 5.7%).
- Per Business Quant data, WIT's Revenue in the three quarters before the quarter ended Jun 30, 2026 was $2.58 billion (quarter ended Mar 31, 2026), $2.62 billion (quarter ended Dec 31, 2025) and $2.56 billion (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 42.66 Bn | 42.72 Bn | 1.60 Bn | 5.08 Bn |
| 2 | Cognizant Technology Solutions | 25.65 Bn | 18.82 Bn | 1.83 Bn | 5.48 Bn |
| 3 | Td Synnex | 20.51 Bn | 14.54 Bn | 1.34 Bn | 19.57 Bn |
| 4 | Cdw | 16.33 Bn | 14.32 Bn | 1.32 Bn | 6.57 Bn |
| 5 | Cgi | 15.07 Bn | 12.85 Bn | - | 3.03 Bn |
| 6 | Arrow Electronics | 11.72 Bn | 10.75 Bn | 1.13 Bn | 9.99 Bn |
| 7 | Avnet | 8.33 Bn | 7.51 Bn | 865.03 Mn | 8.30 Bn |
| 8 | Ingram Micro Holding | 6.23 Bn | 1.84 Bn | 958.68 Mn | 14.53 Bn |
| 9 | EPAM Systems | 5.55 Bn | 1.19 Bn | 429.57 Mn | 1.41 Bn |
| 10 | Wipro | 169.91 Mn | -5.19 Bn | 738.00 Mn | 2.59 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.59 Bn |
| Mar 31, 2026 | 2.58 Bn |
| Dec 31, 2025 | 2.62 Bn |
| Sep 30, 2025 | 2.56 Bn |
| Jun 30, 2025 | 2.59 Bn |
| Mar 31, 2025 | 2.63 Bn |
| Dec 31, 2024 | 2.64 Bn |
| Sep 30, 2024 | 2.66 Bn |
| Jun 30, 2024 | 2.64 Bn |
| Mar 31, 2024 | 2.67 Bn |
| Dec 31, 2023 | 2.67 Bn |
| Sep 30, 2023 | 2.72 Bn |
| Jun 30, 2023 | 2.78 Bn |
| Mar 31, 2023 | 2.82 Bn |
| Dec 31, 2022 | 2.83 Bn |
| Sep 30, 2022 | 2.83 Bn |
| Jun 30, 2022 | 2.79 Bn |
| Mar 31, 2022 | 2.77 Bn |
| Dec 31, 2021 | 2.71 Bn |
| Sep 30, 2021 | 2.65 Bn |
Wipro Revenue 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=revenue&ticker=WIT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=WIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();