Gildan Activewear (GIL) Acquisitions (2009 - 2025)
Gildan Activewear (GIL) posted Acquisitions of -$122.72 million for the quarter ended Dec 28, 2025.
Powered by 
Analysis
Gildan Activewear (GIL) Acquisitions (2009 - 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 | 59.22 Bn | 25.42 Bn | 4.80 Bn | - |
| 2 | Tapestry | 27.73 Bn | 23.69 Bn | 1.56 Bn | - |
| 3 | Ralph Lauren | 24.01 Bn | 15.93 Bn | 1.63 Bn | - |
| 4 | Lululemon Athletica | 12.77 Bn | 7.02 Bn | 1.46 Bn | - |
| 5 | Deckers Outdoor | 12.28 Bn | 5.48 Bn | 895.11 Mn | - |
| 6 | Levi Strauss | 9.33 Bn | 5.91 Bn | 1.07 Bn | - |
| 7 | V F | 8.24 Bn | 4.84 Bn | 1.49 Bn | - |
| 8 | Crocs | 7.62 Bn | 7.03 Bn | 689.73 Mn | - |
| 9 | Birkenstock Holding | 7.23 Bn | 5.55 Bn | 493.89 Mn | 8.83 Mn |
| 10 | Gildan Activewear | 5.84 Bn | 4.80 Bn | 624.95 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 28, 2025 | -122.72 Mn |
| Jan 2, 2022 | -163.97 Mn |
| Dec 29, 2019 | 2.60 Mn |
| Mar 31, 2019 | -1.30 Mn |
| Dec 30, 2018 | -1.20 Mn |
| Apr 1, 2018 | -99,000.00 |
| Dec 31, 2017 | -216,000.00 |
| Oct 1, 2017 | -13.44 Mn |
| Jul 2, 2017 | -9.09 Mn |
| Apr 2, 2017 | -93.03 Mn |
| Jan 1, 2017 | -7.11 Mn |
| Oct 2, 2016 | -47.36 Mn |
| Jul 3, 2016 | -109.48 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 |
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();