Gildan Activewear (GIL) Change in Taxes (2009 - 2012)
Gildan Activewear (GIL) posted Change in Taxes of $39.42 million for the quarter ended Jun 28, 2026, up 251.9% from the prior quarter.
Gildan Activewear (GIL) Change in Taxes (2009 - 2012) Analysis & Trends
For the trailing twelve months through Jun 28, 2026, Change in Taxes at Gildan Activewear was $64.48 million; for the year ended Dec 28, 2025, it came in at $29.47 billion.
- Annual Change in Taxes shows a five-year compound annual growth rate of 401.2% (years ended Dec 2020 to Dec 2025).
- In prior years, Gildan Activewear's Change in Taxes was $13.13 million in the year ended Jun 30, 2024, $26.53 million in the year ended Dec 31, 2022 (+361.8%) and $5.74 million in the year ended Dec 31, 2021 (-38.4%).
- The figure for the quarter ended Jun 28, 2026 stands as the highest quarterly Change in Taxes since the quarter ended Dec 31, 2023.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 56.59 Bn | 22.79 Bn | 4.80 Bn | - |
| 2 | Tapestry | 23.22 Bn | 19.18 Bn | 1.56 Bn | - |
| 3 | Ralph Lauren | 22.91 Bn | 15.01 Bn | 1.44 Bn | 20.00 Mn |
| 4 | Deckers Outdoor | 12.28 Bn | 5.16 Bn | - | - |
| 5 | Lululemon Athletica | 11.66 Bn | 5.91 Bn | 1.46 Bn | -62.87 Mn |
| 6 | Levi Strauss | 8.28 Bn | 4.86 Bn | 1.07 Bn | - |
| 7 | V F | 6.86 Bn | 3.48 Bn | 917.04 Mn | -44.68 Mn |
| 8 | Gildan Activewear | 6.60 Bn | 5.52 Bn | 459.76 Mn | - |
| 9 | Birkenstock Holding | 6.28 Bn | 4.60 Bn | 493.89 Mn | - |
| 10 | Crocs | 5.92 Bn | 5.34 Bn | 700.71 Mn | 15.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2012 | 1.76 Mn |
| Jul 1, 2012 | 1.96 Mn |
| Oct 2, 2011 | -5.99 Mn |
| Oct 3, 2010 | 5.59 Mn |
| Oct 4, 2009 | -282,000.00 |
| Jul 5, 2009 | -5.09 Mn |
| Apr 5, 2009 | -2.19 Mn |
| Jan 4, 2009 | -23.94 Mn |
Gildan Activewear Change in Taxes 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=change-in-taxes&ticker=GIL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-taxes", "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=change-in-taxes&ticker=GIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();