Gildan Activewear (GIL) Depreciation and Depletion (2009 - 2015)
Gildan Activewear (GIL) reported Depreciation and Depletion of $20.87 million for the quarter ended Sep 27, 2025, down 64.3% from $58.51 million a year earlier.
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Analysis
Gildan Activewear (GIL) Depreciation and Depletion (2009 - 2015) Analysis & Trends
Over the twelve months ended Sep 27, 2025, Gildan Activewear's Depreciation and Depletion came in at $79.48 million, up 35.6% year-over-year; for the year ended Dec 28, 2024, it came in at $69.86 million, down 7.2% from the prior year.
- By year, Depreciation and Depletion came in at $75.27 million in the year ended Dec 30, 2023 (-1.3%) and $76.29 million in the year ended Dec 31, 2022.
- The figure for the quarter ended Sep 27, 2025 ranks as the lowest quarterly Depreciation and Depletion since the quarter ended Jul 5, 2015.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (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 | 56.50 Mn |
| 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 |
|---|---|
| Jul 5, 2015 | 27,181.00 |
| Oct 5, 2014 | 23,071.00 |
| Jul 6, 2014 | 21,637.00 |
| Sep 29, 2013 | 19,193.00 |
| Sep 30, 2012 | 21,124.00 |
| Dec 31, 2010 | 60,378.00 |
| Dec 31, 2009 | 53,925.00 |
API Access
Gildan Activewear Depreciation and Depletion 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=depreciation-and-depletion&ticker=GIL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=GIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();