Flanigans Enterprises (BDL) Non-Current Debt (2010 - 2026)
Flanigans Enterprises' Non-Current Debt was $29.43 million in fiscal Q3 2026 (quarter ended Jun 27, 2026), up 51.1% from $19.48 million a year earlier and up 60.7% from the prior quarter.
Flanigans Enterprises (BDL) Non-Current Debt (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 27, 2025), Non-Current Debt at Flanigans Enterprises came in at $19.13 million, down 6.7% from FY2024.
- Non-Current Debt has now declined for three consecutive fiscal years, with a five-year compound annual growth rate of -2.1% (FY2020 to FY2025).
- In earlier fiscal years, Non-Current Debt was $20.51 million in FY2024 (-6.1%), $21.83 million in FY2023 (-5.4%), $23.09 million in FY2022 (+18.0%) and $19.56 million in FY2021 (-7.9%).
- The fiscal Q3 2026 figure marks the highest quarterly Non-Current Debt in data going back to fiscal Q4 2010.
- Compared with a year earlier, Non-Current Debt was higher in 1 of the last eight quarters, with growth averaging 0.5%.
- The best year-over-year quarter for Non-Current Debt over five years was fiscal Q3 2026 (growth of 51.1%); the worst was fiscal Q2 2022 (a decline of 28.5%).
- Per Business Quant data, BDL's Non-Current Debt in the three fiscal quarters before Q3 2026 was $18.31 million (Q2 2026), $18.66 million (Q1 2026) and $19.13 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 165.31 Bn | 160.13 Bn | 6.42 Bn | 39.86 Bn |
| 2 | Starbucks | 108.61 Bn | 96.24 Bn | - | 11.78 Bn |
| 3 | Chipotle Mexican Grill | 40.32 Bn | 36.30 Bn | - | - |
| 4 | Yum Brands | 37.73 Bn | 34.61 Bn | 1.47 Bn | 9.46 Bn |
| 5 | Restaurant Brands International | 24.95 Bn | 22.05 Bn | 1.38 Bn | 13.21 Bn |
| 6 | Darden Restaurants | 22.46 Bn | 21.57 Bn | -113.70 Mn | - |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 13.21 Bn |
| 8 | Yum China Holdings | 14.17 Bn | 8.53 Bn | 537.00 Mn | - |
| 9 | Texas Roadhouse | 10.39 Bn | 9.75 Bn | - | 50.00 Mn |
| 10 | Flanigans Enterprises | 83.30 Mn | 3.04 Mn | 32.66 Mn | 29.43 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 29.43 Mn |
| Mar 28, 2026 | 18.31 Mn |
| Dec 27, 2025 | 18.66 Mn |
| Sep 27, 2025 | 19.13 Mn |
| Jun 28, 2025 | 19.48 Mn |
| Mar 29, 2025 | 19.82 Mn |
| Dec 28, 2024 | 20.17 Mn |
| Sep 28, 2024 | 20.51 Mn |
| Jun 29, 2024 | 20.85 Mn |
| Mar 30, 2024 | 21.18 Mn |
| Dec 30, 2023 | 21.51 Mn |
| Sep 30, 2023 | 21.83 Mn |
| Jul 1, 2023 | 22.15 Mn |
| Apr 1, 2023 | 22.50 Mn |
| Dec 31, 2022 | 22.79 Mn |
| Oct 1, 2022 | 23.09 Mn |
| Jul 2, 2022 | 14.78 Mn |
| Apr 2, 2022 | 15.26 Mn |
| Jan 1, 2022 | 15.77 Mn |
| Oct 2, 2021 | 19.56 Mn |
Flanigans Enterprises Non-Current Debt 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=non-current-debt&ticker=BDL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=BDL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();