Gildan Activewear (GIL) Asset Utilization Ratio (2013 - 2026)
Gildan Activewear's (GIL) Asset Utilization Ratio stood at 0.46 in the quarter ended Jun 28, 2026, up 24.9% from the prior quarter.
Analysis
Gildan Activewear (GIL) Asset Utilization Ratio (2013 - 2026) Analysis & Trends
For the year ended Dec 28, 2025, Gildan Activewear's Asset Utilization Ratio came in at 0.50.
- Quarterly Asset Utilization Ratio has ranged from 0.37 in the quarter ended Mar 29, 2026 to 0.89 in the quarter ended Mar 31, 2024 over the past five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Asset Util. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | 1.23 |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | 1.22 |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 1.09 |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 1.30 |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 1.00 |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 0.46 |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | 0.42 |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 0.93 |
| 10 | V F | 5.53 Bn | 2.15 Bn | 917.04 Mn | 1.01 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 0.46 |
| Mar 29, 2026 | 0.37 |
| Dec 28, 2025 | 0.48 |
| Jun 29, 2025 | 0.81 |
| Mar 30, 2025 | 0.79 |
| Jun 30, 2024 | 0.86 |
| Mar 31, 2024 | 0.89 |
| Sep 27, 2020 | 0.63 |
| Jun 28, 2020 | 0.60 |
| Mar 29, 2020 | 0.77 |
| Dec 29, 2019 | 0.85 |
| Sep 29, 2019 | 0.86 |
| Jun 30, 2019 | 0.89 |
| Mar 31, 2019 | 0.89 |
| Dec 30, 2018 | 0.93 |
| Oct 2, 2016 | 0.86 |
| Jul 3, 2016 | 0.88 |
| Apr 3, 2016 | 0.90 |
| Oct 4, 2015 | 0.83 |
| Jul 5, 2015 | 0.83 |
API Access
Gildan Activewear Asset Utilization Ratio 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=asset-utilization-ratio&ticker=GIL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-utilization-ratio", "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=asset-utilization-ratio&ticker=GIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();