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 | 52.03 Bn | 38.53 Bn | 1.60 Bn | 486.00 Mn |
| 2 | Cognizant Technology Solutions | 31.75 Bn | 24.91 Bn | 1.83 Bn | 1.68 Bn |
| 3 | Wipro | 21.48 Bn | 16.18 Bn | 738.00 Mn | 548.00 Mn |
| 4 | Cdw | 19.70 Bn | 17.69 Bn | 1.32 Bn | 1.10 Bn |
| 5 | Td Synnex | 19.65 Bn | 13.81 Bn | 1.43 Bn | 3.56 Bn |
| 6 | Cgi | 17.59 Bn | 15.39 Bn | - | 575.12 Mn |
| 7 | Arrow Electronics | 11.05 Bn | 10.00 Bn | 1.13 Bn | 67.51 Mn |
| 8 | Avnet | 7.49 Bn | 6.67 Bn | 865.03 Mn | - |
| 9 | EPAM Systems | 6.82 Bn | 2.46 Bn | 429.57 Mn | 372.97 Mn |
| 10 | Ingram Micro Holding | 6.25 Bn | 1.85 Bn | 958.68 Mn | 662.83 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 548.00 Mn |
| Mar 31, 2026 | 309.21 Mn |
| Dec 31, 2025 | 328.00 Mn |
| Sep 30, 2025 | 283.00 Mn |
| Jun 30, 2025 | 303.27 Mn |
| Mar 31, 2025 | 320.91 Mn |
| Dec 31, 2024 | 339.23 Mn |
| Sep 30, 2024 | 336.00 Mn |
| Jun 30, 2024 | 372.00 Mn |
| Mar 31, 2024 | 392.69 Mn |
| Sep 30, 2023 | 458.08 Mn |
| Jun 30, 2023 | 501.43 Mn |
| Mar 31, 2023 | 524.30 Mn |
| Dec 31, 2022 | 553.47 Mn |
| Sep 30, 2022 | 592.87 Mn |
| Jun 30, 2022 | 623.57 Mn |
| Mar 31, 2022 | 574.39 Mn |
| Dec 31, 2021 | 595.45 Mn |
| Sep 30, 2021 | 575.98 Mn |
| Jun 30, 2021 | 579.22 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();