Gildan Activewear (GIL) Operating Expenses (2009 - 2026)
Gildan Activewear (GIL) posted Operating Expenses of $283.86 million for the quarter ended Jun 28, 2026, up 1.5% from the prior quarter.
Gildan Activewear (GIL) Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 28, 2026, Operating Expenses at Gildan Activewear was $778.38 million; for the year ended Dec 28, 2025, it came in at $389.4 million.
- Annual Operating Expenses shows a five-year compound annual growth rate of 14.2% (years ended Dec 2020 to Dec 2025).
- In prior years, Gildan Activewear's Operating Expenses was $228.9 million in the year ended Jun 30, 2024, $252.7 million in the year ended Dec 31, 2022 (+8.1%) and $233.7 million in the year ended Dec 31, 2021 (+16.6%).
- The figure for the quarter ended Jun 28, 2026 stands as the highest quarterly Operating Expenses in data going back to the quarter ended Mar 31, 2009.
- The strongest year-over-year quarter for Operating Expenses in the past five years was the quarter ended Mar 29, 2026, with growth of 203.0%; the weakest was the quarter ended Jun 30, 2023, with a decline of 12.6%.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.77 Bn | 21.97 Bn | 4.80 Bn | 3.91 Bn |
| 2 | Tapestry | 23.87 Bn | 19.83 Bn | 1.56 Bn | 1.12 Bn |
| 3 | Ralph Lauren | 22.81 Bn | 14.90 Bn | 1.44 Bn | 1.10 Bn |
| 4 | Deckers Outdoor | 12.43 Bn | 5.30 Bn | - | - |
| 5 | Lululemon Athletica | 11.17 Bn | 5.42 Bn | 1.46 Bn | 1.01 Bn |
| 6 | Levi Strauss | 8.06 Bn | 4.64 Bn | 1.07 Bn | 843.50 Mn |
| 7 | V F | 6.80 Bn | 3.42 Bn | 917.04 Mn | 1.75 Bn |
| 8 | Gildan Activewear | 6.55 Bn | 5.47 Bn | 459.76 Mn | 283.86 Mn |
| 9 | Birkenstock Holding | 6.13 Bn | 4.45 Bn | 493.89 Mn | 37.80 Mn |
| 10 | Crocs | 5.95 Bn | 5.36 Bn | 700.71 Mn | 415.03 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 283.86 Mn |
| Mar 29, 2026 | 279.63 Mn |
| Dec 28, 2025 | 125.00 Mn |
| Sep 27, 2025 | 255.92 Mn |
| Jun 29, 2025 | 89.88 Mn |
| Mar 30, 2025 | 87.30 Mn |
| Dec 28, 2024 | 270.57 Mn |
| Sep 28, 2024 | 279.44 Mn |
| Jun 30, 2024 | 123.60 Mn |
| Mar 31, 2024 | 105.20 Mn |
| Dec 31, 2023 | 330.40 Mn |
| Oct 1, 2023 | 82.21 Mn |
| Jul 2, 2023 | 78.06 Mn |
| Apr 2, 2023 | 84.68 Mn |
| Jan 1, 2023 | 73.60 Mn |
| Oct 2, 2022 | 82.23 Mn |
| Jul 3, 2022 | 89.43 Mn |
| Apr 3, 2022 | 81.01 Mn |
| Jan 2, 2022 | 80.50 Mn |
| Oct 3, 2021 | 81.61 Mn |
Gildan Activewear 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=operating-expenses&ticker=GIL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=operating-expenses&ticker=GIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();