Wipro (WIT) Retained Earnings (2009 - 2026)
Wipro (WIT) recorded Retained Earnings of $6.62 billion in the quarter ended Jun 30, 2026, down 24.5% from $8.77 billion a year earlier and down 17.6% from the prior quarter.
Wipro (WIT) Retained Earnings (2009 - 2026) Analysis & Trends
As of Mar 31, 2026, Wipro reported Retained Earnings of $7.83 billion, down 6.6% from the prior year.
- Annual Retained Earnings has a five-year compound annual growth rate of 4.2% (years ended Mar 2021 to Mar 2026).
- Across earlier years, Retained Earnings came in at $8.39 billion in the year ended Mar 31, 2025 (+10.8%), $7.57 billion in the year ended Mar 31, 2024 (-5.9%), $8.04 billion in the year ended Mar 31, 2023 (+10.7%) and $7.27 billion in the year ended Mar 31, 2022 (+13.9%).
- The figure for the quarter ended Jun 30, 2026 is the lowest quarterly Retained Earnings since the quarter ended Mar 31, 2021.
- On a year-over-year basis, Retained Earnings has declined for four consecutive quarters, with growth averaging 1.1% over the last seven quarters.
- Peak year-over-year performance for Retained Earnings in the last five years was growth of 29.1% in the quarter ended Dec 31, 2021, against a decline of 24.5% in the quarter ended Jun 30, 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $8.04 billion (quarter ended Mar 31, 2026), $8.46 billion (quarter ended Dec 31, 2025) and $8.24 billion (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 42.66 Bn | 42.72 Bn | 1.60 Bn | 13.44 Bn |
| 2 | Cognizant Technology Solutions | 25.65 Bn | 18.82 Bn | 1.83 Bn | 14.65 Bn |
| 3 | Td Synnex | 20.51 Bn | 14.54 Bn | 1.34 Bn | 4.02 Bn |
| 4 | Cdw | 16.33 Bn | 14.32 Bn | 1.32 Bn | -1.49 Bn |
| 5 | Cgi | 15.07 Bn | 12.85 Bn | - | 5.34 Bn |
| 6 | Arrow Electronics | 11.72 Bn | 10.75 Bn | 1.13 Bn | 7.06 Bn |
| 7 | Avnet | 8.33 Bn | 7.51 Bn | 865.03 Mn | 3.51 Bn |
| 8 | Ingram Micro Holding | 6.23 Bn | 1.84 Bn | 958.68 Mn | 1.75 Bn |
| 9 | EPAM Systems | 5.55 Bn | 1.19 Bn | 429.57 Mn | 2.04 Bn |
| 10 | Wipro | 169.91 Mn | -5.19 Bn | 738.00 Mn | 6.62 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.62 Bn |
| Mar 31, 2026 | 8.04 Bn |
| Dec 31, 2025 | 8.46 Bn |
| Sep 30, 2025 | 8.24 Bn |
| Jun 30, 2025 | 8.77 Bn |
| Mar 31, 2025 | 8.27 Bn |
| Dec 31, 2024 | 8.69 Bn |
| Sep 30, 2024 | 8.28 Bn |
| Jun 30, 2024 | 7.94 Bn |
| Mar 31, 2024 | 7.60 Bn |
| Sep 30, 2023 | 6.99 Bn |
| Jun 30, 2023 | 6.64 Bn |
| Mar 31, 2023 | 8.04 Bn |
| Dec 31, 2022 | 7.74 Bn |
| Sep 30, 2022 | 7.56 Bn |
| Jun 30, 2022 | 7.47 Bn |
| Mar 31, 2022 | 7.33 Bn |
| Dec 31, 2021 | 7.42 Bn |
| Sep 30, 2021 | 7.11 Bn |
| Jun 30, 2021 | 6.75 Bn |
Wipro Retained 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=retained-earnings&ticker=WIT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-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=retained-earnings&ticker=WIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();