Flanigans Enterprises (BDL) Total Non-Current Liabilities (2010 - 2019)
Flanigans Enterprises' Total Non-Current Liabilities came in at $57.89 million for fiscal Q1 2020 (quarter ended Dec 28, 2019), up 131.2% from $25.04 million a year earlier.
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Analysis
Flanigans Enterprises (BDL) Total Non-Current Liabilities (2010 - 2019) Analysis & Trends
At the end of FY2015 (ended Oct 3, 2015), Flanigans Enterprises' Total Non-Current Liabilities was $20.72 million, down 5.5% from FY2014.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of 8.8% (FY2010 to FY2015).
- Going back by fiscal year, Total Non-Current Liabilities was $21.92 million in FY2014 (+3.4%), $21.21 million in FY2013 (+5.3%), $20.13 million in FY2012 (+43.0%) and $14.08 million in FY2011 (+3.4%).
- The fiscal Q1 2020 figure represents the highest quarterly Total Non-Current Liabilities in data going back to fiscal Q4 2010.
- Year-over-year, Total Non-Current Liabilities increased in three of the last six quarters, with growth averaging 23.5%.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in fiscal Q1 2020 (growth of 131.2%), and the weakest in fiscal Q1 2019 (a decline of 13.0%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 165.31 Bn | 160.13 Bn | 6.42 Bn | 60.27 Bn |
| 2 | Starbucks | 108.61 Bn | 96.24 Bn | - | - |
| 3 | Chipotle Mexican Grill | 40.32 Bn | 36.30 Bn | - | 6.58 Bn |
| 4 | Yum Brands | 37.73 Bn | 34.61 Bn | 1.47 Bn | 13.75 Bn |
| 5 | Restaurant Brands International | 24.95 Bn | 22.05 Bn | 1.38 Bn | 18.73 Bn |
| 6 | Darden Restaurants | 22.46 Bn | 21.57 Bn | -113.70 Mn | 8.71 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 18.73 Bn |
| 8 | Yum China Holdings | 14.17 Bn | 8.53 Bn | 537.00 Mn | 4.65 Bn |
| 9 | Texas Roadhouse | 10.39 Bn | 9.75 Bn | - | 1.88 Bn |
| 10 | Flanigans Enterprises | 83.30 Mn | 3.04 Mn | 32.66 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 28, 2019 | 57.89 Mn |
| Jun 29, 2019 | 24.50 Mn |
| Mar 30, 2019 | 26.30 Mn |
| Dec 29, 2018 | 25.04 Mn |
| Jun 30, 2018 | 25.59 Mn |
| Mar 31, 2018 | 27.63 Mn |
| Dec 30, 2017 | 28.79 Mn |
| Jul 1, 2017 | 22.38 Mn |
| Apr 1, 2017 | 23.43 Mn |
| Dec 31, 2016 | 22.61 Mn |
| Jul 2, 2016 | 20.19 Mn |
| Apr 2, 2016 | 22.08 Mn |
| Jan 2, 2016 | 22.08 Mn |
| Oct 3, 2015 | 20.72 Mn |
| Jun 27, 2015 | 22.53 Mn |
| Mar 28, 2015 | 21.91 Mn |
| Dec 27, 2014 | 22.84 Mn |
| Sep 27, 2014 | 21.92 Mn |
| Jun 28, 2014 | 21.71 Mn |
| Mar 29, 2014 | 23.39 Mn |
API Access
Flanigans Enterprises Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=BDL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=BDL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();