Wipro (WIT) Price to Earnings (2011 - 2026)
Wipro's Price to Earnings came in at 0.16 for the quarter ended Jun 30, 2026, down 18.3% from 0.20 a year earlier but up 8.7% from the prior quarter.
Analysis
Wipro (WIT) Price to Earnings (2011 - 2026) Analysis & Trends
Going back to the quarter ended Mar 31, 2011, Wipro's Price to Earnings data covers 60 quarters.
- Going back by year, Price to Earnings was 0.21 in the year ended Mar 31, 2025 (-8.2%), 0.23 in the year ended Mar 31, 2024 (+27.6%), 0.18 in the year ended Mar 31, 2023 (-32.3%) and 0.26 in the year ended Mar 31, 2022 (+16.8%).
- The five-year range for quarterly Price to Earnings is 0.15 (the quarter ended Mar 31, 2026) to 0.33 (the quarter ended Dec 31, 2021).
- Year-over-year, Price to Earnings has declined for six consecutive quarters, with an average decline of 9.8% over the last eight quarters.
- The fastest year-over-year change in Price to Earnings over five years came in the quarter ended Sep 30, 2021 (growth of 45.7%), and the weakest in the quarter ended Dec 31, 2022 (a decline of 46.3%).
- Business Quant data shows WIT's Price to Earnings at 0.15 (quarter ended Mar 31, 2026), 0.19 (quarter ended Dec 31, 2025) and 0.17 (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 43.52 Bn | 43.57 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 25.96 Bn | 19.13 Bn | 1.83 Bn |
| 3 | Td Synnex | 20.53 Bn | 14.56 Bn | 1.34 Bn |
| 4 | Cdw | 16.06 Bn | 14.05 Bn | 1.32 Bn |
| 5 | Cgi | 15.14 Bn | 12.92 Bn | - |
| 6 | Arrow Electronics | 11.55 Bn | 10.58 Bn | 1.13 Bn |
| 7 | Avnet | 8.20 Bn | 7.38 Bn | 865.03 Mn |
| 8 | Ingram Micro Holding | 6.32 Bn | 1.92 Bn | 958.68 Mn |
| 9 | EPAM Systems | 5.59 Bn | 1.23 Bn | 429.57 Mn |
| 10 | Wipro | 173.06 Mn | -5.18 Bn | 738.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.16 |
| Mar 31, 2026 | 0.15 |
| Dec 31, 2025 | 0.19 |
| Sep 30, 2025 | 0.17 |
| Jun 30, 2025 | 0.20 |
| Mar 31, 2025 | 0.21 |
| Dec 31, 2024 | 0.25 |
| Sep 30, 2024 | 0.24 |
| Jun 30, 2024 | 0.24 |
| Mar 31, 2024 | 0.23 |
| Dec 31, 2023 | 0.22 |
| Sep 30, 2023 | 0.19 |
| Jun 30, 2023 | 0.18 |
| Mar 31, 2023 | 0.17 |
| Dec 31, 2022 | 0.18 |
| Sep 30, 2022 | 0.18 |
| Jun 30, 2022 | 0.19 |
| Mar 31, 2022 | 0.26 |
| Dec 31, 2021 | 0.33 |
| Sep 30, 2021 | 0.30 |
API Access
Wipro Price to Earnings 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=price-to-earnings&ticker=WIT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=WIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();