Wipro (WIT) Goodwill (2009 - 2026)
Wipro (WIT) reported Goodwill of $4.27 billion for the quarter ended Jun 30, 2026, up 11.3% from $3.84 billion a year earlier and up 0.8% from the prior quarter.
Wipro (WIT) Goodwill (2009 - 2026) Analysis & Trends
As of Mar 31, 2026, Wipro posted Goodwill of $4.13 billion, up 8.5% from the prior year.
- Goodwill has increased for seven consecutive years, with a five-year compound annual growth rate of 16.8% (years ended Mar 2021 to Mar 2026).
- By year, Goodwill came in at $3.8 billion in the year ended Mar 31, 2025 (+0.3%), $3.79 billion in the year ended Mar 31, 2024 (+1.2%), $3.75 billion in the year ended Mar 31, 2023 (+15.1%) and $3.26 billion in the year ended Mar 31, 2022 (+71.1%).
- The figure for the quarter ended Jun 30, 2026 ranks as the highest quarterly Goodwill in data going back to the quarter ended Mar 31, 2009.
- Year over year, Goodwill has now increased in each of the last five quarters, with growth averaging 4.6% over the last seven quarters.
- The high point for year-over-year Goodwill in five years was the quarter ended Dec 31, 2021 (growth of 75.7%); the low point was the quarter ended Jun 30, 2023 (a decline of 2.7%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $4.24 billion (quarter ended Mar 31, 2026), $4.09 billion (quarter ended Dec 31, 2025) and $3.82 billion (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 50.24 Bn | 36.74 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 31.12 Bn | 24.28 Bn | 1.83 Bn |
| 3 | Wipro | 20.11 Bn | 14.81 Bn | 738.00 Mn |
| 4 | Td Synnex | 19.66 Bn | 13.82 Bn | 1.43 Bn |
| 5 | Cdw | 19.39 Bn | 17.38 Bn | 1.32 Bn |
| 6 | Cgi | 16.87 Bn | 14.67 Bn | - |
| 7 | Arrow Electronics | 11.10 Bn | 10.05 Bn | 1.13 Bn |
| 8 | Avnet | 7.54 Bn | 6.72 Bn | 865.03 Mn |
| 9 | EPAM Systems | 6.64 Bn | 2.28 Bn | 429.57 Mn |
| 10 | Ingram Micro Holding | 6.19 Bn | 1.79 Bn | 958.68 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.27 Bn |
| Mar 31, 2026 | 4.11 Bn |
| Dec 31, 2025 | 4.09 Bn |
| Sep 30, 2025 | 3.82 Bn |
| Jun 30, 2025 | 3.84 Bn |
| Mar 31, 2025 | 3.80 Bn |
| Dec 31, 2024 | 3.78 Bn |
| Sep 30, 2024 | 3.81 Bn |
| Jun 30, 2024 | 3.79 Bn |
| Mar 31, 2024 | 3.79 Bn |
| Sep 30, 2023 | 3.72 Bn |
| Jun 30, 2023 | 3.74 Bn |
| Mar 31, 2023 | 3.75 Bn |
| Dec 31, 2022 | 3.74 Bn |
| Sep 30, 2022 | 3.71 Bn |
| Jun 30, 2022 | 3.75 Bn |
| Mar 31, 2022 | 3.26 Bn |
| Dec 31, 2021 | 3.26 Bn |
| Sep 30, 2021 | 3.08 Bn |
| Jun 30, 2021 | 3.01 Bn |
Wipro Goodwill 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=goodwill&ticker=WIT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill", "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=goodwill&ticker=WIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();