Wipro (WIT) EPS (Diluted) (2011 - 2026)
Wipro's EPS (Diluted) was $3.37 in the quarter ended Jun 30, 2026, down 9.1% from $3.71 a year earlier and down 5.1% from the prior quarter.
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Analysis
Wipro (WIT) EPS (Diluted) (2011 - 2026) Analysis & Trends
On a trailing twelve-month basis, Wipro's EPS (Diluted) was $13.80 through Jun 30, 2026, down 8.8% year-over-year; for the year ended Mar 31, 2026, it came in at $13.40, down 8.6% from the prior year.
- EPS (Diluted) shows a five-year compound annual growth rate of -0.3% (years ended Mar 2021 to Mar 2026).
- In earlier years, EPS (Diluted) was $14.65 in the year ended Mar 31, 2025 (+17.4%), $12.49 in the year ended Mar 31, 2024 (-0.7%), $12.58 in the year ended Mar 31, 2023 (-14.3%) and $14.68 in the year ended Mar 31, 2022 (+7.7%).
- Quarterly EPS (Diluted) has moved between $2.92 (the quarter ended Sep 30, 2023) and $3.99 (the quarter ended Mar 31, 2025) over five years.
- Compared with a year earlier, EPS (Diluted) has declined for four straight quarters, with growth averaging 6.4% over the last eight quarters.
- The best year-over-year quarter for EPS (Diluted) over five years was the quarter ended Dec 31, 2024 (growth of 27.0%); the worst was the quarter ended Jun 30, 2022 (a decline of 21.7%).
- Per Business Quant data, WIT's EPS (Diluted) in the three quarters before the quarter ended Jun 30, 2026 was $3.55 (quarter ended Mar 31, 2026), $3.34 (quarter ended Dec 31, 2025) and $3.55 (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 42.66 Bn | 42.72 Bn | 1.60 Bn | 0.20 |
| 2 | Cognizant Technology Solutions | 25.65 Bn | 18.82 Bn | 1.83 Bn | 1.36 |
| 3 | Td Synnex | 20.51 Bn | 14.54 Bn | 1.34 Bn | 4.19 |
| 4 | Cdw | 16.33 Bn | 14.32 Bn | 1.32 Bn | 2.15 |
| 5 | Cgi | 15.07 Bn | 12.85 Bn | - | 1.49 |
| 6 | Arrow Electronics | 11.72 Bn | 10.75 Bn | 1.13 Bn | 5.26 |
| 7 | Avnet | 8.33 Bn | 7.51 Bn | 865.03 Mn | 1.52 |
| 8 | Ingram Micro Holding | 6.23 Bn | 1.84 Bn | 958.68 Mn | 0.48 |
| 9 | EPAM Systems | 5.55 Bn | 1.19 Bn | 429.57 Mn | 1.97 |
| 10 | Wipro | 169.91 Mn | -5.19 Bn | 738.00 Mn | 3.37 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.37 |
| Mar 31, 2026 | 3.55 |
| Dec 31, 2025 | 3.34 |
| Sep 30, 2025 | 3.55 |
| Jun 30, 2025 | 3.71 |
| Mar 31, 2025 | 3.99 |
| Dec 31, 2024 | 3.74 |
| Sep 30, 2024 | 3.61 |
| Jun 30, 2024 | 3.39 |
| Mar 31, 2024 | 3.22 |
| Dec 31, 2023 | 2.95 |
| Sep 30, 2023 | 2.92 |
| Jun 30, 2023 | 3.18 |
| Mar 31, 2023 | 3.49 |
| Dec 31, 2022 | 3.39 |
| Sep 30, 2022 | 3.04 |
| Jun 30, 2022 | 3.03 |
| Mar 31, 2022 | 3.74 |
| Dec 31, 2021 | 3.50 |
| Sep 30, 2021 | 3.49 |
API Access
Wipro EPS (Diluted) 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=eps-diluted&ticker=WIT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=WIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();