Flanigans Enterprises (BDL) EBITDA (2010 - 2026)
Flanigans Enterprises' EBITDA was $5.2 million in fiscal Q3 2026 (quarter ended Jun 27, 2026), up 29.5% from $4.02 million a year earlier but down 2.9% from the prior quarter.
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Analysis
Flanigans Enterprises (BDL) EBITDA (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Flanigans Enterprises' EBITDA was $16.25 million through Jun 27, 2026, up 32.5% year-over-year; for FY2025 (ended Sep 27, 2025), it came in at $13.42 million, up 32.7% from FY2024.
- EBITDA shows a five-year compound annual growth rate of 17.1% (FY2020 to FY2025).
- In earlier fiscal years, EBITDA was $10.11 million in FY2024 (-4.5%), $10.59 million in FY2023 (+6.7%), $9.92 million in FY2022 (-15.3%) and $11.71 million in FY2021 (+92.3%).
- Quarterly EBITDA has moved between $1.38 million (fiscal Q4 2023) and $5.36 million (fiscal Q2 2026) over five years.
- Compared with a year earlier, EBITDA has increased for eight straight quarters, with growth averaging 31.9% over the last eight quarters.
- The best year-over-year quarter for EBITDA over five years was fiscal Q4 2025 (growth of 69.4%); the worst was fiscal Q4 2023 (a decline of 54.6%).
- Per Business Quant data, BDL's EBITDA in the three fiscal quarters before Q3 2026 was $5.36 million (Q2 2026), $2.87 million (Q1 2026) and $2.82 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 174.50 Bn | 169.32 Bn | 6.42 Bn | 3.90 Bn |
| 2 | Starbucks | 113.12 Bn | 100.74 Bn | - | 1.37 Bn |
| 3 | Yum Brands | 41.68 Bn | 38.56 Bn | 1.47 Bn | 715.00 Mn |
| 4 | Chipotle Mexican Grill | 37.78 Bn | 33.76 Bn | - | 623.92 Mn |
| 5 | Restaurant Brands International | 26.16 Bn | 21.71 Bn | 1.38 Bn | 799.00 Mn |
| 6 | Darden Restaurants | 24.73 Bn | 23.83 Bn | 1.68 Bn | 463.50 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 799.00 Mn |
| 8 | Yum China Holdings | 15.70 Bn | 9.35 Bn | 537.00 Mn | 468.00 Mn |
| 9 | Texas Roadhouse | 11.11 Bn | 10.45 Bn | - | 201.13 Mn |
| 10 | Flanigans Enterprises | 89.04 Mn | -5.70 Mn | 32.66 Mn | 5.21 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 5.21 Mn |
| Mar 28, 2026 | 5.37 Mn |
| Dec 27, 2025 | 2.87 Mn |
| Sep 27, 2025 | 2.83 Mn |
| Jun 28, 2025 | 4.03 Mn |
| Mar 29, 2025 | 4.69 Mn |
| Dec 28, 2024 | 1.91 Mn |
| Sep 28, 2024 | 1.67 Mn |
| Jun 29, 2024 | 3.29 Mn |
| Mar 30, 2024 | 3.52 Mn |
| Dec 30, 2023 | 1.66 Mn |
| Sep 30, 2023 | 1.45 Mn |
| Jul 1, 2023 | 3.62 Mn |
| Apr 1, 2023 | 3.55 Mn |
| Dec 31, 2022 | 2.00 Mn |
| Oct 1, 2022 | 3.03 Mn |
| Jul 2, 2022 | 2.86 Mn |
| Apr 2, 2022 | 2.56 Mn |
| Jan 1, 2022 | 1.44 Mn |
| Oct 2, 2021 | 2.72 Mn |
API Access
Flanigans Enterprises EBITDA 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=ebitda&ticker=BDL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=BDL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();