Gildan Activewear (GIL) Change in Accrued Expenses (2011)
Gildan Activewear (GIL) reported Change in Accured Expenses of $1.55 million for the year ended Dec 28, 2024, compared with -$152.12 million a year earlier.
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Analysis
Gildan Activewear (GIL) Change in Accrued Expenses (2011) Analysis & Trends
Dating back to the year ended Dec 31, 2009, Gildan Activewear's Change in Accured Expenses record includes 15 years.
- Change in Accured Expenses has a five-year compound annual growth rate of -50.0% (years ended Dec 2019 to Dec 2024).
- The figure for the year ended Dec 28, 2024 ranks as the highest annual Change in Accured Expenses since the year ended Dec 29, 2019.
- According to Business Quant data, Change in Accured Expenses came in at -$152.12 million in the year ended Dec 30, 2023, -$126.76 million in the year ended Dec 31, 2022 and -$62.48 million in the year ended Dec 31, 2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 57.28 Bn | 23.48 Bn | 4.80 Bn | -1.22 Bn |
| 2 | Tapestry | 27.14 Bn | 23.10 Bn | 1.56 Bn | 99.80 Mn |
| 3 | Ralph Lauren | 22.63 Bn | 14.55 Bn | 1.63 Bn | 75.30 Mn |
| 4 | Lululemon Athletica | 12.51 Bn | 6.76 Bn | 1.46 Bn | -4.52 Mn |
| 5 | Deckers Outdoor | 11.73 Bn | 4.92 Bn | 895.11 Mn | 55.21 Mn |
| 6 | Levi Strauss | 8.84 Bn | 5.42 Bn | 1.07 Bn | - |
| 7 | V F | 8.00 Bn | 4.60 Bn | 1.49 Bn | 164.73 Mn |
| 8 | Crocs | 7.20 Bn | 6.60 Bn | 689.73 Mn | -24.25 Mn |
| 9 | Birkenstock Holding | 6.95 Bn | 5.27 Bn | 493.89 Mn | 40.70 Mn |
| 10 | Gildan Activewear | 5.55 Bn | 4.51 Bn | 624.95 Mn | - |
API Access
Gildan Activewear Change in Accrued 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=change-in-accured-expenses&ticker=GIL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=GIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();