Wipro (WIT) Intangibles (2009 - 2026)
Wipro (WIT) reported Intangibles of $548 million for the quarter ended Jun 30, 2026, up 81.0% from $302.82 million a year earlier and up 71.7% from the prior quarter.
Wipro (WIT) Intangibles (2009 - 2026) Analysis & Trends
As of Mar 31, 2026, Wipro posted Intangibles of $311 million, down 3.1% from the prior year.
- Intangibles has declined for four consecutive years, though with a five-year compound annual growth rate of 11.7% (years ended Mar 2021 to Mar 2026).
- By year, Intangibles came in at $321 million in the year ended Mar 31, 2025 (-18.3%), $393 million in the year ended Mar 31, 2024 (-25.0%), $524 million in the year ended Mar 31, 2023 (-8.7%) and $574 million in the year ended Mar 31, 2022 (+220.7%).
- The figure for the quarter ended Jun 30, 2026 ranks as the highest quarterly Intangibles since the quarter ended Dec 31, 2022.
- Year over year, Intangibles gained in two of the last seven quarters, with an average decline of 0.6%.
- The high point for year-over-year Intangibles in five years was the quarter ended Dec 31, 2021 (growth of 234.6%); the low point was the quarter ended Sep 30, 2024 (a decline of 27.1%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $319.16 million (quarter ended Mar 31, 2026), $328 million (quarter ended Dec 31, 2025) and $283 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 42.66 Bn | 42.72 Bn | 1.60 Bn | 486.00 Mn |
| 2 | Cognizant Technology Solutions | 25.65 Bn | 18.82 Bn | 1.83 Bn | 1.68 Bn |
| 3 | Td Synnex | 20.51 Bn | 14.54 Bn | 1.34 Bn | 3.64 Bn |
| 4 | Cdw | 16.33 Bn | 14.32 Bn | 1.32 Bn | 1.10 Bn |
| 5 | Cgi | 15.07 Bn | 12.85 Bn | - | 590.76 Mn |
| 6 | Arrow Electronics | 11.72 Bn | 10.75 Bn | 1.13 Bn | 67.51 Mn |
| 7 | Avnet | 8.33 Bn | 7.51 Bn | 865.03 Mn | - |
| 8 | Ingram Micro Holding | 6.23 Bn | 1.84 Bn | 958.68 Mn | 662.83 Mn |
| 9 | EPAM Systems | 5.55 Bn | 1.19 Bn | 429.57 Mn | 372.97 Mn |
| 10 | Wipro | 169.91 Mn | -5.19 Bn | 738.00 Mn | 548.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 548.00 Mn |
| Mar 31, 2026 | 319.16 Mn |
| Dec 31, 2025 | 328.00 Mn |
| Sep 30, 2025 | 283.00 Mn |
| Jun 30, 2025 | 302.82 Mn |
| Mar 31, 2025 | 316.99 Mn |
| Dec 31, 2024 | 344.66 Mn |
| Sep 30, 2024 | 336.00 Mn |
| Jun 30, 2024 | 372.00 Mn |
| Mar 31, 2024 | 394.34 Mn |
| Sep 30, 2023 | 461.00 Mn |
| Jun 30, 2023 | 500.92 Mn |
| Mar 31, 2023 | 523.64 Mn |
| Dec 31, 2022 | 558.41 Mn |
| Sep 30, 2022 | 605.90 Mn |
| Jun 30, 2022 | 638.03 Mn |
| Mar 31, 2022 | 579.24 Mn |
| Dec 31, 2021 | 591.52 Mn |
| Sep 30, 2021 | 577.74 Mn |
| Jun 30, 2021 | 583.56 Mn |
Wipro 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=intangibles&ticker=WIT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=intangibles&ticker=WIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();