Flanigans Enterprises (BDL) Long-Term Debt Issuances (2010 - 2020)
Flanigans Enterprises (BDL) posted Long-Term Debt Issuances of $8.71 million for FY2022 (year ended Oct 1, 2022), up 215.7% from $2.76 million in FY2021.
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Analysis
Flanigans Enterprises (BDL) Long-Term Debt Issuances (2010 - 2020) Analysis & Trends
Since FY2010, Flanigans Enterprises has reported Long-Term Debt Issuances for 10 fiscal years.
- Annual Long-Term Debt Issuances shows a five-year compound annual growth rate of 24.4% (FY2017 to FY2022).
- The FY2022 figure stands as the highest annual Long-Term Debt Issuances in data going back to FY2010.
- Business Quant data shows BDL's Long-Term Debt Issuances at $2.76 million in FY2021 (-37.3%), $4.4 million in FY2020, $250,000 in FY2019 (-92.9%) and $3.5 million in FY2018 (+19.8%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Issuance (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 174.41 Bn | 169.23 Bn | 6.42 Bn | - |
| 2 | Starbucks | 112.93 Bn | 100.55 Bn | - | - |
| 3 | Yum Brands | 41.62 Bn | 38.50 Bn | 1.47 Bn | - |
| 4 | Chipotle Mexican Grill | 35.98 Bn | 31.96 Bn | - | - |
| 5 | Restaurant Brands International | 25.83 Bn | 21.38 Bn | 1.38 Bn | - |
| 6 | Darden Restaurants | 24.40 Bn | 23.49 Bn | 1.68 Bn | - |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | - |
| 8 | Yum China Holdings | 15.50 Bn | 9.16 Bn | 537.00 Mn | - |
| 9 | Texas Roadhouse | 11.02 Bn | 10.36 Bn | - | - |
| 10 | Flanigans Enterprises | 87.47 Mn | -7.27 Mn | 32.66 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Oct 3, 2020 | -10.04 Mn |
| Jun 27, 2020 | 10.04 Mn |
| Dec 28, 2019 | 4.40 Mn |
| Dec 29, 2018 | 250,000.00 |
| Dec 30, 2017 | 3.50 Mn |
| Jan 1, 2011 | 850,000.00 |
| Oct 2, 2010 | 23,000.00 |
API Access
Flanigans Enterprises Long-Term Debt Issuances 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=long-term-debt-issuances&ticker=BDL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-issuances", "ticker": "BDL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=long-term-debt-issuances&ticker=BDL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();