Flanigans Enterprises (BDL) Assets (2010 - 2026)
Flanigans Enterprises (BDL) reported Assets of $157.53 million for fiscal Q3 2026 (quarter ended Jun 27, 2026), up 12.0% from $140.69 million a year earlier and up 8.8% from the prior quarter.
Flanigans Enterprises (BDL) Assets (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 27, 2025), Flanigans Enterprises posted Assets of $140.62 million, down 1.0% from FY2024.
- Assets has declined for three consecutive fiscal years, though with a five-year compound annual growth rate of 4.6% (FY2020 to FY2025).
- By fiscal year, Assets came in at $142.08 million in FY2024 (-2.5%), $145.77 million in FY2023 (-1.2%), $147.49 million in FY2022 (+15.2%) and $128 million in FY2021 (+13.8%).
- The fiscal Q3 2026 figure ranks as the highest quarterly Assets in data going back to fiscal Q4 2010.
- Year over year, Assets gained in three of the last eight quarters, with growth averaging 0.5%.
- The high point for year-over-year Assets in five years was fiscal Q2 2022 (growth of 15.9%); the low point was fiscal Q1 2026 (a decline of 3.3%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $144.76 million (Q2 2026), $142.07 million (Q1 2026) and $140.62 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 165.31 Bn | 160.13 Bn | 6.42 Bn | 59.92 Bn |
| 2 | Starbucks | 108.61 Bn | 96.24 Bn | - | 28.29 Bn |
| 3 | Chipotle Mexican Grill | 40.32 Bn | 36.30 Bn | - | 8.86 Bn |
| 4 | Yum Brands | 37.73 Bn | 34.61 Bn | 1.47 Bn | 8.68 Bn |
| 5 | Restaurant Brands International | 24.95 Bn | 22.05 Bn | 1.38 Bn | 25.02 Bn |
| 6 | Darden Restaurants | 22.46 Bn | 21.57 Bn | -113.70 Mn | 12.86 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 25.02 Bn |
| 8 | Yum China Holdings | 14.17 Bn | 8.53 Bn | 537.00 Mn | 10.87 Bn |
| 9 | Texas Roadhouse | 10.39 Bn | 9.75 Bn | - | 3.67 Bn |
| 10 | Flanigans Enterprises | 83.30 Mn | 3.04 Mn | 32.66 Mn | 157.53 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 157.53 Mn |
| Mar 28, 2026 | 144.76 Mn |
| Dec 27, 2025 | 142.07 Mn |
| Sep 27, 2025 | 140.62 Mn |
| Jun 28, 2025 | 140.69 Mn |
| Mar 29, 2025 | 143.31 Mn |
| Dec 28, 2024 | 146.88 Mn |
| Sep 28, 2024 | 142.08 Mn |
| Jun 29, 2024 | 143.09 Mn |
| Mar 30, 2024 | 144.39 Mn |
| Dec 30, 2023 | 145.94 Mn |
| Sep 30, 2023 | 145.77 Mn |
| Jul 1, 2023 | 146.40 Mn |
| Apr 1, 2023 | 146.87 Mn |
| Dec 31, 2022 | 149.17 Mn |
| Oct 1, 2022 | 147.49 Mn |
| Jul 2, 2022 | 139.41 Mn |
| Apr 2, 2022 | 140.87 Mn |
| Jan 1, 2022 | 131.69 Mn |
| Oct 2, 2021 | 128.00 Mn |
Flanigans Enterprises Assets 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=assets&ticker=BDL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=BDL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();