Flanigans Enterprises (BDL) Operating Leases (2019 - 2026)
Flanigans Enterprises (BDL) posted Operating Leases of $23.68 million for fiscal Q3 2026 (quarter ended Jun 27, 2026), down 2.0% from $24.16 million a year earlier and down 3.5% from the prior quarter.
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Analysis
Flanigans Enterprises (BDL) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 27, 2025), Flanigans Enterprises' Operating Leases came in at $23.79 million, down 7.9% from FY2024.
- Annual Operating Leases shows a five-year compound annual growth rate of 3.2% (FY2020 to FY2025).
- In prior fiscal years, Flanigans Enterprises' Operating Leases was $25.85 million in FY2024 (unchanged), $25.85 million in FY2023 (-8.6%), $28.28 million in FY2022 (+4.0%) and $27.18 million in FY2021 (+33.7%).
- Quarterly Operating Leases has run from a low of $23.09 million in fiscal Q1 2026 to a high of $28.85 million in fiscal Q3 2022 over five years.
- On a year-over-year basis, Operating Leases has declined in each of the last five quarters, with an average decline of 2.4% over the last eight quarters.
- The strongest year-over-year quarter for Operating Leases in the past five years was fiscal Q1 2022, with growth of 34.0%; the weakest was fiscal Q2 2024, with a decline of 9.2%.
- According to Business Quant data, Operating Leases for the three prior fiscal quarters was $24.53 million (Q2 2026), $23.09 million (Q1 2026) and $23.79 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 173.94 Bn | 168.76 Bn | 6.42 Bn |
| 2 | Starbucks | 112.47 Bn | 100.10 Bn | - |
| 3 | Yum Brands | 41.60 Bn | 38.49 Bn | 1.47 Bn |
| 4 | Chipotle Mexican Grill | 35.84 Bn | 31.82 Bn | - |
| 5 | Restaurant Brands International | 25.82 Bn | 21.37 Bn | 1.38 Bn |
| 6 | Darden Restaurants | 24.41 Bn | 23.50 Bn | 1.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn |
| 8 | Yum China Holdings | 15.48 Bn | 9.14 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 10.96 Bn | 10.30 Bn | - |
| 10 | Flanigans Enterprises | 87.36 Mn | -7.38 Mn | 32.66 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 23.68 Mn |
| Mar 28, 2026 | 24.53 Mn |
| Dec 27, 2025 | 23.09 Mn |
| Sep 27, 2025 | 23.79 Mn |
| Jun 28, 2025 | 24.16 Mn |
| Mar 29, 2025 | 24.83 Mn |
| Dec 28, 2024 | 25.20 Mn |
| Sep 28, 2024 | 25.85 Mn |
| Jun 29, 2024 | 24.22 Mn |
| Mar 30, 2024 | 24.61 Mn |
| Dec 30, 2023 | 25.24 Mn |
| Sep 30, 2023 | 25.85 Mn |
| Jul 1, 2023 | 26.49 Mn |
| Apr 1, 2023 | 27.11 Mn |
| Dec 31, 2022 | 27.70 Mn |
| Oct 1, 2022 | 28.28 Mn |
| Jul 2, 2022 | 28.85 Mn |
| Apr 2, 2022 | 27.58 Mn |
| Jan 1, 2022 | 26.62 Mn |
| Oct 2, 2021 | 27.18 Mn |
API Access
Flanigans Enterprises Operating Leases 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=operating-leases&ticker=BDL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=BDL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();