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 | 42.66 Bn | 42.72 Bn | 1.60 Bn | -340.00 Mn |
| 2 | Cognizant Technology Solutions | 25.65 Bn | 18.82 Bn | 1.83 Bn | 604.00 Mn |
| 3 | Td Synnex | 20.51 Bn | 14.54 Bn | 1.34 Bn | - |
| 4 | Cdw | 16.33 Bn | 14.32 Bn | 1.32 Bn | 300,000.00 |
| 5 | Cgi | 15.07 Bn | 12.85 Bn | - | -35.85 Mn |
| 6 | Arrow Electronics | 11.72 Bn | 10.75 Bn | 1.13 Bn | - |
| 7 | Avnet | 8.33 Bn | 7.51 Bn | 865.03 Mn | - |
| 8 | Ingram Micro Holding | 6.23 Bn | 1.84 Bn | 958.68 Mn | - |
| 9 | EPAM Systems | 5.55 Bn | 1.19 Bn | 429.57 Mn | - |
| 10 | Wipro | 169.91 Mn | -5.19 Bn | 738.00 Mn | -348.26 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -348.26 Mn |
| Dec 31, 2019 | -44.22 Mn |
| Dec 31, 2017 | -8.04 Mn |
| Sep 30, 2017 | -44.48 Mn |
| Jun 30, 2017 | -50.77 Mn |
| Mar 31, 2017 | -20.83 Mn |
| Mar 31, 2016 | -523.91 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();