Gildan Activewear (GIL) Acquisitions (2012 - 2025)
Gildan Activewear (GIL) posted Acquisitions of -$122.72 million for the quarter ended Dec 28, 2025.
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Analysis
Gildan Activewear (GIL) Acquisitions (2012 - 2025) Analysis & Trends
For the year ended Dec 28, 2025, Gildan Activewear's Acquisitions came in at -$122.72 billion.
- The figure for the quarter ended Dec 28, 2025 stands as the highest quarterly Acquisitions since the quarter ended Dec 29, 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn | - |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn | - |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn | - |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - | - |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn | - |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn | - |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | - |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn | -8.83 Mn |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn | - |
| 10 | V F | 5.67 Bn | 2.29 Bn | 917.04 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 28, 2025 | -122.72 Mn |
| Jan 2, 2022 | -163.97 Mn |
| Dec 29, 2019 | -1.30 Mn |
| Mar 31, 2019 | -1.30 Mn |
| Dec 30, 2018 | -1.20 Mn |
| Dec 31, 2017 | -115.80 Mn |
| Dec 31, 2016 | -163.90 Mn |
| Oct 2, 2016 | -47.36 Mn |
| Jul 3, 2016 | -109.48 Mn |
| Dec 31, 2015 | -103.80 Mn |
| Oct 4, 2015 | 70,000.00 |
| Jul 5, 2015 | -500,000.00 |
| Apr 5, 2015 | -103.37 Mn |
| Jan 4, 2015 | 326.00 |
| Oct 5, 2014 | -101.73 Mn |
| Sep 29, 2013 | -1.22 Mn |
| Jun 30, 2013 | -5.56 Mn |
| Mar 31, 2013 | -2.50 Mn |
| Sep 30, 2012 | 911,000.00 |
API Access
Gildan Activewear 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=GIL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "acquisitions", "ticker": "GIL", "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=GIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();