Levi Strauss (LEVI) Debt Ratio (2010 - 2026)
Levi Strauss' Debt Ratio was 0.16 in fiscal Q2 2026 (quarter ended May 31, 2026), down 1.4% from the prior quarter.
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Analysis
Levi Strauss (LEVI) Debt Ratio (2010 - 2026) Analysis & Trends
For FY2025 (ended Nov 30, 2025), Debt Ratio at Levi Strauss came in at 0.15, down 2.7% from FY2024.
- In earlier fiscal years, Debt Ratio was 0.16 in FY2024 (-6.5%), 0.17 in FY2023 (+1.1%), 0.16 in FY2022 (-5.2%) and 0.17 in FY2021 (-37.3%).
- Quarterly Debt Ratio has moved between 0.00 (fiscal Q3 2021) and 0.17 (fiscal Q4 2021) over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn | 0.21 |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn | - |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn | 0.16 |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - | - |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn | - |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn | 0.16 |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 0.45 |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn | 0.30 |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn | 0.30 |
| 10 | V F | 5.67 Bn | 2.29 Bn | 917.04 Mn | 0.37 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 0.16 |
| Mar 1, 2026 | 0.16 |
| Nov 30, 2025 | 0.15 |
| Dec 1, 2024 | 0.16 |
| Nov 26, 2023 | 0.17 |
| Aug 27, 2023 | 0.01 |
| May 28, 2023 | 0.02 |
| Feb 26, 2023 | 0.03 |
| Nov 27, 2022 | 0.16 |
| Nov 28, 2021 | 0.17 |
| Aug 29, 2021 | 0.00 |
| May 30, 2021 | 0.00 |
| Feb 28, 2021 | 0.13 |
| Nov 29, 2020 | 0.28 |
| Aug 23, 2020 | 0.00 |
| May 24, 2020 | 0.06 |
| Feb 23, 2020 | 0.00 |
| Nov 24, 2019 | 0.24 |
| Aug 25, 2019 | 0.01 |
| May 26, 2019 | 0.00 |
API Access
Levi Strauss 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=LEVI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "ticker": "LEVI", "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=LEVI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();