Wipro (WIT) Goodwill & Intangibles (2009 - 2026)
Wipro's Goodwill & Intangibles was $4.82 billion in the quarter ended Jun 30, 2026, up 16.4% from $4.14 billion a year earlier and up 5.8% from the prior quarter.
Wipro (WIT) Goodwill & Intangibles (2009 - 2026) Analysis & Trends
As of Mar 31, 2026, Goodwill & Intangibles at Wipro came in at $4.44 billion, up 7.6% from the prior year.
- Goodwill & Intangibles shows a five-year compound annual growth rate of 16.4% (years ended Mar 2021 to Mar 2026).
- In earlier years, Goodwill & Intangibles was $4.13 billion in the year ended Mar 31, 2025 (-1.4%), $4.19 billion in the year ended Mar 31, 2024 (-2.0%), $4.27 billion in the year ended Mar 31, 2023 (+11.5%) and $3.83 billion in the year ended Mar 31, 2022 (+84.0%).
- The figure for the quarter ended Jun 30, 2026 marks the highest quarterly Goodwill & Intangibles in data going back to the quarter ended Mar 31, 2009.
- Compared with a year earlier, Goodwill & Intangibles has increased for four straight quarters, with growth averaging 4.3% over the last seven quarters.
- The best year-over-year quarter for Goodwill & Intangibles over five years was the quarter ended Dec 31, 2021 (growth of 89.6%); the worst was the quarter ended Jun 30, 2023 (a decline of 5.4%).
- Per Business Quant data, WIT's Goodwill & Intangibles in the three quarters before the quarter ended Jun 30, 2026 was $4.56 billion (quarter ended Mar 31, 2026), $4.46 billion (quarter ended Dec 31, 2025) and $4.18 billion (quarter ended Sep 30, 2025).
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
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.82 Bn |
| Mar 31, 2026 | 4.56 Bn |
| Dec 31, 2025 | 4.46 Bn |
| Sep 30, 2025 | 4.18 Bn |
| Jun 30, 2025 | 4.14 Bn |
| Mar 31, 2025 | 4.07 Bn |
| Dec 31, 2024 | 4.19 Bn |
| Sep 30, 2024 | 4.15 Bn |
| Jun 30, 2024 | 4.17 Bn |
| Mar 31, 2024 | 4.20 Bn |
| Sep 30, 2023 | 4.21 Bn |
| Jun 30, 2023 | 4.24 Bn |
| Mar 31, 2023 | 4.27 Bn |
| Dec 31, 2022 | 4.33 Bn |
| Sep 30, 2022 | 4.40 Bn |
| Jun 30, 2022 | 4.48 Bn |
| Mar 31, 2022 | 3.86 Bn |
| Dec 31, 2021 | 3.83 Bn |
| Sep 30, 2021 | 3.67 Bn |
| Jun 30, 2021 | 3.61 Bn |
Wipro Goodwill & Intangibles 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-and-intangibles&ticker=WIT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-intangibles", "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-and-intangibles&ticker=WIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();