Birks (BGICF) Debt Ratio (2009 - 2026)
Birks' Debt Ratio came in at 0.51 for fiscal Q4 2026 (quarter ended Mar 28, 2026), up 0.9% from 0.51 a year earlier.
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Analysis
Birks (BGICF) Debt Ratio (2009 - 2026) Analysis & Trends
Going back to fiscal Q2 2010, Birks' Debt Ratio data covers 26 quarters.
- Debt Ratio has increased in each of the last four fiscal years.
- Going back by fiscal year, Debt Ratio was 0.51 in FY2025 (+14.6%), 0.44 in FY2024 (+6.5%), 0.42 in FY2023 (+14.7%) and 0.36 in FY2022 (-7.6%).
- The fiscal Q4 2026 figure represents the highest quarterly Debt Ratio since fiscal Q4 2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 56.59 Bn | 22.79 Bn | 4.80 Bn | 0.21 |
| 2 | Tapestry | 23.22 Bn | 19.18 Bn | 1.56 Bn | - |
| 3 | Ralph Lauren | 22.91 Bn | 15.01 Bn | 1.44 Bn | 0.16 |
| 4 | Deckers Outdoor | 12.28 Bn | 5.16 Bn | - | - |
| 5 | Lululemon Athletica | 11.66 Bn | 5.91 Bn | 1.46 Bn | - |
| 6 | Levi Strauss | 8.28 Bn | 4.86 Bn | 1.07 Bn | 0.15 |
| 7 | V F | 6.86 Bn | 3.48 Bn | 917.04 Mn | 0.37 |
| 8 | Gildan Activewear | 6.60 Bn | 5.52 Bn | 459.76 Mn | 0.36 |
| 9 | Birkenstock Holding | 6.28 Bn | 4.60 Bn | 493.89 Mn | 0.30 |
| 10 | Birks | 5.52 Mn | 147,057.52 | - | 0.51 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 28, 2026 | 0.51 |
| Mar 29, 2025 | 0.51 |
| Mar 30, 2024 | 0.44 |
| Sep 23, 2023 | 0.30 |
| Mar 25, 2023 | 0.42 |
| Mar 26, 2022 | 0.36 |
| Mar 27, 2021 | 0.39 |
| Mar 28, 2020 | 0.35 |
| Sep 28, 2019 | 0.28 |
| Mar 30, 2019 | 0.48 |
| Sep 29, 2018 | 0.11 |
| Mar 31, 2018 | 0.38 |
| Mar 25, 2017 | 0.29 |
| Sep 24, 2016 | 0.39 |
| Mar 26, 2016 | 0.63 |
| Sep 26, 2015 | 0.38 |
| Mar 28, 2015 | 0.67 |
| Sep 27, 2014 | 0.38 |
| Mar 29, 2014 | 0.68 |
| Sep 28, 2013 | 0.38 |
API Access
Birks 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=BGICF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "ticker": "BGICF", "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=BGICF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();