Flanigans Enterprises (BDL) Total Liabilities (2010 - 2026)
Flanigans Enterprises' Total Liabilities came in at $73.3 million for fiscal Q3 2026 (quarter ended Jun 27, 2026), up 17.4% from $62.43 million a year earlier and up 18.1% from the prior quarter.
Powered by 
Analysis
Flanigans Enterprises (BDL) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 27, 2025), Flanigans Enterprises' Total Liabilities was $61.53 million, down 7.7% from FY2024.
- Total Liabilities has declined in each of the last three fiscal years, with a five-year compound annual growth rate of -1.7% (FY2020 to FY2025).
- Going back by fiscal year, Total Liabilities was $66.67 million in FY2024 (-5.9%), $70.86 million in FY2023 (-4.4%), $74.15 million in FY2022 (+10.1%) and $67.37 million in FY2021 (+0.7%).
- The fiscal Q3 2026 figure represents the highest quarterly Total Liabilities since fiscal Q1 2023.
- Year-over-year, Total Liabilities increased in 1 of the last eight quarters, with an average decline of 3.2%.
- The fastest year-over-year change in Total Liabilities over five years came in fiscal Q3 2026 (growth of 17.4%), and the weakest in fiscal Q1 2026 (a decline of 12.6%).
- Business Quant data shows BDL's Total Liabilities at $62.07 million (Q2 2026), $62.29 million (Q1 2026) and $61.53 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 165.31 Bn | 160.13 Bn | 6.42 Bn | 60.94 Bn |
| 2 | Starbucks | 108.61 Bn | 96.24 Bn | - | 35.97 Bn |
| 3 | Chipotle Mexican Grill | 40.32 Bn | 36.30 Bn | - | 6.66 Bn |
| 4 | Yum Brands | 37.73 Bn | 34.61 Bn | 1.47 Bn | 15.79 Bn |
| 5 | Restaurant Brands International | 24.95 Bn | 22.05 Bn | 1.38 Bn | 19.63 Bn |
| 6 | Darden Restaurants | 22.46 Bn | 21.57 Bn | -113.70 Mn | 10.65 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 19.63 Bn |
| 8 | Yum China Holdings | 14.17 Bn | 8.53 Bn | 537.00 Mn | 4.81 Bn |
| 9 | Texas Roadhouse | 10.39 Bn | 9.75 Bn | - | 2.09 Bn |
| 10 | Flanigans Enterprises | 83.30 Mn | 3.04 Mn | 32.66 Mn | 73.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 73.30 Mn |
| Mar 28, 2026 | 62.07 Mn |
| Dec 27, 2025 | 62.29 Mn |
| Sep 27, 2025 | 61.53 Mn |
| Jun 28, 2025 | 62.43 Mn |
| Mar 29, 2025 | 65.41 Mn |
| Dec 28, 2024 | 71.25 Mn |
| Sep 28, 2024 | 66.67 Mn |
| Jun 29, 2024 | 67.07 Mn |
| Mar 30, 2024 | 68.43 Mn |
| Dec 30, 2023 | 71.76 Mn |
| Sep 30, 2023 | 70.86 Mn |
| Jul 1, 2023 | 70.85 Mn |
| Apr 1, 2023 | 72.09 Mn |
| Dec 31, 2022 | 75.79 Mn |
| Oct 1, 2022 | 74.15 Mn |
| Jul 2, 2022 | 67.06 Mn |
| Apr 2, 2022 | 67.85 Mn |
| Jan 1, 2022 | 67.88 Mn |
| Oct 2, 2021 | 67.37 Mn |
API Access
Flanigans Enterprises Total 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-liabilities&ticker=BDL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=BDL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();