Gildan Activewear (GIL) Other Operating Expenses (2014 - 2025)
Gildan Activewear's Other Operating Expenses came in at -$88.27 million for the quarter ended Dec 28, 2025.
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Analysis
Gildan Activewear (GIL) Other Operating Expenses (2014 - 2025) Analysis & Trends
For the year ended Dec 28, 2025, Gildan Activewear's Other Operating Expenses was -$389.08 billion.
- Going back by year, Other Operating Expenses was $2.13 million in the year ended Jun 30, 2024, -$74.04 million in the year ended Dec 31, 2022 and -$88.7 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Dec 28, 2025 represents the highest quarterly Other Operating Expenses in data going back to the quarter ended Mar 30, 2014.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn |
| 10 | V F | 5.53 Bn | 2.15 Bn | 917.04 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 28, 2025 | -88.27 Mn |
| Jun 30, 2024 | 2.86 Mn |
| Mar 31, 2024 | -836,000.00 |
| Dec 31, 2023 | -10.88 Mn |
| Sep 30, 2023 | 80.20 Mn |
| Jun 30, 2023 | 48.10 Mn |
| Mar 31, 2023 | 79.00 Mn |
| Sep 30, 2022 | 86.80 Mn |
| Jun 30, 2022 | 87.80 Mn |
| Mar 31, 2022 | 83.80 Mn |
| Jan 2, 2022 | -4.15 Mn |
| Sep 30, 2021 | 79.60 Mn |
| Jun 30, 2021 | 78.10 Mn |
| Mar 31, 2021 | 71.90 Mn |
| Dec 29, 2019 | -16.05 Mn |
| Jun 30, 2019 | -16.30 Mn |
| Mar 31, 2019 | -10.59 Mn |
| Dec 30, 2018 | -21.69 Mn |
| Sep 30, 2018 | -3.12 Mn |
| Jun 30, 2018 | 89.10 Mn |
API Access
Gildan Activewear Other Operating 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=other-operating-expenses&ticker=GIL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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=other-operating-expenses&ticker=GIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();