Flanigans Enterprises (BDL) Enterprise Value (2010 - 2026)
Flanigans Enterprises' Enterprise Value came in at $67.41 million for fiscal Q3 2026 (quarter ended Jun 27, 2026), up 11.5% from $60.45 million a year earlier and up 38.5% from the prior quarter.
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Analysis
Flanigans Enterprises (BDL) Enterprise Value (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 27, 2026, Flanigans Enterprises reported Enterprise Value of $1.52 million; for FY2025 (ended Sep 27, 2025), it came in at $49.33 million, up 12.4% from FY2024.
- Enterprise Value carries a five-year compound annual growth rate of 39.4% (FY2020 to FY2025).
- Going back by fiscal year, Enterprise Value was $43.9 million in FY2024 (-14.7%), $51.49 million in FY2023 (+124.2%), $22.97 million in FY2022 (-6.9%) and $24.67 million in FY2021 (+163.6%).
- The fiscal Q3 2026 figure represents the highest quarterly Enterprise Value in data going back to fiscal Q3 2010.
- Year-over-year, Enterprise Value has increased for five consecutive quarters, with growth averaging 13.0% over the last eight quarters.
- The fastest year-over-year change in Enterprise Value over five years came in fiscal Q1 2022 (growth of 194.1%), and the weakest in fiscal Q1 2023 (a decline of 36.6%).
- Business Quant data shows BDL's Enterprise Value at $48.67 million (Q2 2026), $45.83 million (Q1 2026) and $49.33 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 165.31 Bn | 160.13 Bn | 6.42 Bn |
| 2 | Starbucks | 108.61 Bn | 96.24 Bn | - |
| 3 | Chipotle Mexican Grill | 40.32 Bn | 36.30 Bn | - |
| 4 | Yum Brands | 37.73 Bn | 34.61 Bn | 1.47 Bn |
| 5 | Restaurant Brands International | 24.95 Bn | 22.05 Bn | 1.38 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 |
| 8 | Yum China Holdings | 14.17 Bn | 8.53 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 10.39 Bn | 9.75 Bn | - |
| 10 | Flanigans Enterprises | 83.30 Mn | 3.04 Mn | 32.66 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 67.41 Mn |
| Mar 28, 2026 | 48.67 Mn |
| Dec 27, 2025 | 45.83 Mn |
| Sep 27, 2025 | 49.33 Mn |
| Jun 28, 2025 | 60.45 Mn |
| Mar 29, 2025 | 37.13 Mn |
| Dec 28, 2024 | 33.39 Mn |
| Sep 28, 2024 | 43.90 Mn |
| Jun 29, 2024 | 42.58 Mn |
| Mar 30, 2024 | 40.42 Mn |
| Dec 30, 2023 | 36.09 Mn |
| Sep 30, 2023 | 51.49 Mn |
| Jul 1, 2023 | 46.46 Mn |
| Apr 1, 2023 | 31.38 Mn |
| Dec 31, 2022 | 22.05 Mn |
| Oct 1, 2022 | 22.97 Mn |
| Jul 2, 2022 | 38.04 Mn |
| Apr 2, 2022 | 40.60 Mn |
| Jan 1, 2022 | 34.81 Mn |
| Oct 2, 2021 | 24.67 Mn |
API Access
Flanigans Enterprises Enterprise Value 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=enterprise-value&ticker=BDL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=BDL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();