Gildan Activewear (GIL) Pension (2009 - 2026)
Gildan Activewear's Pension came in at $104.83 million for the quarter ended Jun 28, 2026, down 3.6% from the prior quarter.
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Analysis
Gildan Activewear (GIL) Pension (2009 - 2026) Analysis & Trends
As of Dec 28, 2025, Gildan Activewear's Pension was $118.41 million, up 78.9% from the prior year.
- Pension carries a five-year compound annual growth rate of 57.7% (years ended Dec 2020 to Dec 2025).
- Going back by year, Pension was $66.17 million in the year ended Dec 28, 2024, $8.09 million in the year ended Dec 31, 2022 and -$21.68 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 28, 2026 represents the lowest quarterly Pension since the quarter ended Dec 28, 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 56.18 Bn | 22.38 Bn | 4.80 Bn |
| 2 | Tapestry | 23.99 Bn | 19.95 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 22.76 Bn | 14.85 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 12.61 Bn | 5.48 Bn | - |
| 5 | Lululemon Athletica | 11.29 Bn | 5.54 Bn | 1.46 Bn |
| 6 | Levi Strauss | 8.02 Bn | 4.60 Bn | 1.07 Bn |
| 7 | V F | 6.86 Bn | 3.48 Bn | 917.04 Mn |
| 8 | Gildan Activewear | 6.55 Bn | 5.47 Bn | 459.76 Mn |
| 9 | Birkenstock Holding | 6.11 Bn | 4.43 Bn | 493.89 Mn |
| 10 | Crocs | 5.97 Bn | 5.38 Bn | 700.71 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 104.83 Mn |
| Mar 29, 2026 | 108.74 Mn |
| Dec 28, 2025 | 118.41 Mn |
| Sep 27, 2025 | 55.39 Mn |
| Dec 28, 2024 | 66.17 Mn |
| Sep 28, 2024 | 84.16 Mn |
| Dec 31, 2023 | 1.72 Mn |
| Jul 2, 2023 | 12.36 Mn |
| Jan 1, 2023 | 8.09 Mn |
| Dec 29, 2019 | -1.30 Mn |
| Dec 30, 2018 | -1.69 Mn |
| Dec 31, 2017 | -64,000.00 |
| Jan 1, 2017 | -5.24 Mn |
| Jan 3, 2016 | -5.24 Mn |
| Oct 4, 2015 | 5.24 Mn |
| Jul 5, 2015 | 16.01 Mn |
| Apr 5, 2015 | 16.00 Mn |
| Jan 4, 2015 | 16.72 Mn |
| Oct 5, 2014 | -3.61 Mn |
| Jul 6, 2014 | 15.33 Mn |
API Access
Gildan Activewear Pension 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=pension&ticker=GIL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "pension", "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=pension&ticker=GIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();