Gildan Activewear (GIL) Accumulated Expenses (2009 - 2024)
Gildan Activewear's (GIL) quarterly Accumulated Expenses came in at $121.3 million in Q4 2024, up 46.62% year-over-year from $82.7 million in Q4 2023, and up 46.62% quarter-over-quarter from $82.7 million in Q4 2023.
Powered by 
Analysis
Gildan Activewear (GIL) Accumulated Expenses (2009 - 2024) Analysis & Trends
Gildan Activewear (GIL) has reported Accumulated Expenses for 4 consecutive years, with $121.3 million the latest figure, recorded in Q4 2024.
- On a quarterly basis, Accumulated Expenses rose 46.62% year-over-year to $121.3 million in Q4 2024; TTM through Dec 2024 was $121.3 million, a 46.62% increase from a year earlier, with the FY2024 full-year figure at $121.3 million, up 46.62% from the prior year.
- Accumulated Expenses was $121.3 million for Q4 2024 at Gildan Activewear, up from $82.7 million in the prior quarter.
- Over five years, Accumulated Expenses peaked at $121.3 million in Q4 2024 and troughed at $82.7 million in Q4 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Lululemon Athletica | 10.45 Bn | 9.06 Bn | 1.46 Bn |
| 2 | Levi Strauss | 7.65 Bn | 6.67 Bn | 979.10 Mn |
| 3 | Gildan Activewear | 7.18 Bn | 6.91 Bn | 459.76 Mn |
| 4 | V F | 5.02 Bn | 4.35 Bn | 917.04 Mn |
| 5 | Kontoor Brands | 3.63 Bn | 3.57 Bn | 328.26 Mn |
| 6 | Pvh | 3.38 Bn | 2.42 Bn | 1.32 Bn |
| 7 | Columbia Sportswear | 2.91 Bn | 2.29 Bn | 358.43 Mn |
| 8 | Warby Parker | 2.78 Bn | 2.48 Bn | 136.46 Mn |
| 9 | Figs | 2.06 Bn | 1.76 Bn | 147.86 Mn |
| 10 | Under Armour | 2.04 Bn | 1.65 Bn | 593.83 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 28, 2024 | 121.27 Mn |
| Dec 30, 2023 | 82.71 Mn |
| Dec 31, 2010 | 2.49 Mn |
| Dec 31, 2009 | 2.68 Mn |
API Access
Gildan Activewear Accumulated Expenses 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=accumulated-expenses&ticker=GIL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=GIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();