Gildan Activewear (GIL) Debt Ratio (2009 - 2026)
Gildan Activewear's (GIL) Debt Ratio came in at 0.45 for the quarter ended Jun 28, 2026, up 0.1% from the prior quarter.
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Analysis
Gildan Activewear (GIL) Debt Ratio (2009 - 2026) Analysis & Trends
For the year ended Dec 28, 2025, Gildan Activewear's Debt Ratio stood at 0.41, down 27.6% from the prior year.
- In prior years, Gildan Activewear's Debt Ratio was 0.57 in the year ended Dec 28, 2024.
- The figure for the quarter ended Jun 28, 2026 stands as the highest quarterly Debt Ratio since the quarter ended Mar 30, 2025.
- On a year-over-year basis, Debt Ratio increased in two of the last four quarters, with growth averaging 109.7%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.14 Bn | 19.13 Bn | 5.39 Bn | 0.21 |
| 2 | Tapestry | 22.87 Bn | 18.83 Bn | 1.56 Bn | - |
| 3 | Ralph Lauren | 21.39 Bn | 13.49 Bn | 1.44 Bn | 0.16 |
| 4 | Deckers Outdoor | 11.06 Bn | 3.93 Bn | - | - |
| 5 | Lululemon Athletica | 10.32 Bn | 4.58 Bn | 1.46 Bn | - |
| 6 | Levi Strauss | 7.62 Bn | 4.28 Bn | 979.10 Mn | 0.16 |
| 7 | Gildan Activewear | 6.55 Bn | 5.54 Bn | 459.76 Mn | 0.45 |
| 8 | Birkenstock Holding | 6.07 Bn | 4.38 Bn | 493.89 Mn | 0.30 |
| 9 | Crocs | 5.90 Bn | 5.31 Bn | 700.71 Mn | 0.30 |
| 10 | V F | 5.70 Bn | 2.32 Bn | 917.04 Mn | 0.37 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 0.45 |
| Mar 29, 2026 | 0.45 |
| Dec 28, 2025 | 0.41 |
| Sep 27, 2025 | 0.52 |
| Jun 29, 2025 | 0.46 |
| Mar 30, 2025 | 0.46 |
| Dec 28, 2024 | 0.57 |
| Sep 28, 2024 | 0.60 |
| Jun 30, 2024 | 0.33 |
| Mar 31, 2024 | 0.31 |
| Dec 31, 2023 | 0.11 |
| Jan 2, 2022 | 0.19 |
| Sep 27, 2020 | 0.34 |
| Jun 28, 2020 | 0.42 |
| Mar 29, 2020 | 0.42 |
| Dec 29, 2019 | 0.55 |
| Sep 29, 2019 | 0.27 |
| Jun 30, 2019 | 0.29 |
| Mar 31, 2019 | 0.27 |
| Dec 30, 2018 | 0.45 |
API Access
Gildan Activewear Debt 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=debt-ratio&ticker=GIL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-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=debt-ratio&ticker=GIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();