Gildan Activewear (GIL) Amortizatization of Intangibles (2009 - 2015)
Gildan Activewear's Amortizatization of Intangibles came in at $5.6 million for the quarter ended Sep 27, 2025, down 44.7% from $10.13 million a year earlier.
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Analysis
Gildan Activewear (GIL) Amortizatization of Intangibles (2009 - 2015) Analysis & Trends
Over the trailing twelve months to Sep 27, 2025, Gildan Activewear reported Amortizatization of Intangibles of $15.74 million, up 55.1% year-over-year; for the year ended Dec 28, 2024, it was $12.02 million, down 27.5% from the prior year.
- Going back by year, Amortizatization of Intangibles was $16.57 million in the year ended Dec 30, 2023 (-9.0%) and $18.2 million in the year ended Dec 31, 2022.
- The figure for the quarter ended Sep 27, 2025 represents the lowest quarterly Amortizatization of Intangibles since the quarter ended Jul 5, 2015.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 50.34 Bn | 16.54 Bn | 4.80 Bn | - |
| 2 | Tapestry | 23.66 Bn | 19.62 Bn | 1.56 Bn | 13.40 Mn |
| 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 |
|---|---|
| Jul 5, 2015 | 4,727.00 |
| Oct 5, 2014 | 4,152.00 |
| Jul 6, 2014 | 3,688.00 |
| Sep 29, 2013 | 3,511.00 |
| Sep 30, 2012 | 4,013.00 |
| Dec 31, 2010 | 8,797.00 |
| Dec 31, 2009 | 8,843.00 |
API Access
Gildan Activewear Amortizatization of Intangibles 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=amortizatization-of-intangibles&ticker=GIL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "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=amortizatization-of-intangibles&ticker=GIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();