Birks (BGICF) Net Debt Issuances and Repayments (2009 - 2024)
Birks (BGICF) posted Net Debt Issuances and Repayments of -$3.28 million for FY2026 (year ended Mar 28, 2026).
Analysis
Birks (BGICF) Net Debt Issuances and Repayments (2009 - 2024) Analysis & Trends
Since FY2009, Birks has reported Net Debt Issuances and Repayments for 18 fiscal years.
- The FY2026 figure stands as the lowest annual Net Debt Issuances and Repayments since FY2022.
- Business Quant data shows BGICF's Net Debt Issuances and Repayments at -$1.87 million in FY2025, $6.76 million in FY2024, $14.57 million in FY2023 and -$10.02 million in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Debt Issuance (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.42 Bn | 21.62 Bn | 4.80 Bn | - |
| 2 | Ralph Lauren | 22.70 Bn | 14.79 Bn | 1.44 Bn | -7.10 Mn |
| 3 | Tapestry | 22.12 Bn | 18.08 Bn | 1.56 Bn | - |
| 4 | Deckers Outdoor | 11.53 Bn | 4.41 Bn | - | - |
| 5 | Lululemon Athletica | 10.55 Bn | 4.80 Bn | 1.46 Bn | - |
| 6 | Levi Strauss | 8.17 Bn | 4.75 Bn | 1.07 Bn | - |
| 7 | Gildan Activewear | 7.49 Bn | 6.41 Bn | 459.76 Mn | -655.00 Mn |
| 8 | V F | 6.78 Bn | 3.40 Bn | 917.04 Mn | -451,000.00 |
| 9 | Birkenstock Holding | 5.99 Bn | 4.31 Bn | 493.89 Mn | -534.46 Mn |
| 10 | Birks | 5.52 Mn | 147,057.52 | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 28, 2024 | -1.02 Mn |
| Sep 23, 2023 | 1.74 Mn |
| Sep 24, 2022 | 8.43 Mn |
| Sep 25, 2021 | -4.02 Mn |
| Sep 26, 2020 | 1.81 Mn |
| Sep 28, 2019 | 11.61 Mn |
| Sep 24, 2016 | 9.10 Mn |
| Sep 26, 2015 | 7.03 Mn |
| Sep 27, 2014 | 1.61 Mn |
| Sep 28, 2013 | 9.67 Mn |
| Sep 29, 2012 | 17.60 Mn |
| Sep 24, 2011 | 12.49 Mn |
| Sep 25, 2010 | 8.79 Mn |
| Sep 26, 2009 | -2.41 Mn |
| Mar 28, 2009 | -368,000.00 |
API Access
Birks Net Debt Issuances and Repayments 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=net-debt-issuances-and-repayments&ticker=BGICF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-debt-issuances-and-repayments", "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=net-debt-issuances-and-repayments&ticker=BGICF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();