Gildan Activewear (GIL) Gains from Sales and Divestitures (2011 - 2026)
Gildan Activewear's Gains from Sales and Divestitures was $100,000 in the quarter ended Mar 29, 2026, compared with -$100,000 a year earlier.
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Analysis
Gildan Activewear (GIL) Gains from Sales and Divestitures (2011 - 2026) Analysis & Trends
On a trailing twelve-month basis, Gildan Activewear's Gains from Sales and Divestitures was -$84,000 through Mar 29, 2026; for the year ended Dec 28, 2025, it came in at $4.16 million.
- In earlier years, Gains from Sales and Divestitures was -$2,000 in the year ended Jun 30, 2024 and -$43.66 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Mar 29, 2026 marks the highest quarterly Gains from Sales and Divestitures since the quarter ended Dec 31, 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 21.85 Bn | 13.95 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 11.26 Bn | 4.14 Bn | - |
| 5 | Lululemon Athletica | 10.07 Bn | 4.32 Bn | 1.46 Bn |
| 6 | Levi Strauss | 7.67 Bn | 4.32 Bn | 979.10 Mn |
| 7 | Gildan Activewear | 6.27 Bn | 5.26 Bn | 459.76 Mn |
| 8 | Birkenstock Holding | 6.13 Bn | 4.43 Bn | 493.89 Mn |
| 9 | Crocs | 5.68 Bn | 5.09 Bn | 700.71 Mn |
| 10 | V F | 5.64 Bn | 2.26 Bn | 917.04 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 29, 2026 | 100,000.00 |
| Jun 29, 2025 | -92,000.00 |
| Mar 30, 2025 | -100,000.00 |
| Jun 30, 2024 | 8,000.00 |
| Mar 31, 2024 | -10,000.00 |
| Dec 31, 2023 | 583,000.00 |
| Jan 2, 2022 | 4.66 Mn |
| Mar 29, 2020 | 417,000.00 |
| Jan 4, 2015 | 623.00 |
| Dec 29, 2013 | 917.00 |
| Sep 29, 2013 | 809,000.00 |
| Jun 30, 2013 | -13,000.00 |
| Mar 31, 2013 | -67,000.00 |
| Dec 21, 2012 | 1,619.00 |
| Sep 30, 2012 | 1.03 Mn |
| Dec 31, 2011 | 1,877.00 |
API Access
Gildan Activewear Gains from Sales and Divestitures 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=gains-from-sales-and-divestitures&ticker=GIL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gains-from-sales-and-divestitures", "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=gains-from-sales-and-divestitures&ticker=GIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();