Wipro (WIT) Acquisitions (2009 - 2026)
Wipro's Acquisitions came in at -$348.26 million for the quarter ended Jun 30, 2026.
Wipro (WIT) Acquisitions (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Wipro reported Acquisitions of -$400.52 million; for the year ended Mar 31, 2018, it came in at -$103.22 million.
- Going back by year, Acquisitions was -$501.39 million in the year ended Mar 31, 2017, -$602.39 million in the year ended Mar 31, 2016, -$185.53 million in the year ended Mar 31, 2015 and -$49.57 million in the year ended Mar 31, 2014.
- The figure for the quarter ended Jun 30, 2026 represents the highest quarterly Acquisitions since the quarter ended Dec 31, 2019.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 51.14 Bn | 37.64 Bn | 1.60 Bn | -340.00 Mn |
| 2 | Cognizant Technology Solutions | 31.49 Bn | 24.65 Bn | 1.83 Bn | 604.00 Mn |
| 3 | Wipro | 20.48 Bn | 15.18 Bn | 738.00 Mn | -348.26 Mn |
| 4 | Td Synnex | 19.77 Bn | 13.93 Bn | 1.43 Bn | - |
| 5 | Cdw | 19.50 Bn | 17.49 Bn | 1.32 Bn | 300,000.00 |
| 6 | Cgi | 17.25 Bn | 15.05 Bn | - | -35.85 Mn |
| 7 | Arrow Electronics | 11.06 Bn | 10.01 Bn | 1.13 Bn | - |
| 8 | Avnet | 7.52 Bn | 6.70 Bn | 865.03 Mn | - |
| 9 | EPAM Systems | 6.69 Bn | 2.33 Bn | 429.57 Mn | 240,000.00 |
| 10 | Ingram Micro Holding | 6.19 Bn | 1.80 Bn | 958.68 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -348.26 Mn |
| Mar 31, 2026 | 569.56 Mn |
| Mar 31, 2025 | 21.42 Mn |
| Mar 31, 2020 | 226.16 Mn |
| Dec 31, 2019 | -44.22 Mn |
| Mar 31, 2017 | 983.03 Mn |
| Mar 31, 2016 | 643.45 Mn |
| Dec 31, 2015 | 865,206.70 |
| Mar 31, 2015 | 289,148.78 |
| Mar 31, 2010 | -40.23 Mn |
| Dec 31, 2009 | -37.49 Mn |
| Sep 30, 2009 | -9.55 Mn |
| Mar 31, 2009 | -110.65 Mn |
Wipro Acquisitions 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=acquisitions&ticker=WIT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "acquisitions", "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=acquisitions&ticker=WIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();