Flanigans Enterprises (BDL) EBIT (2010 - 2026)
Flanigans Enterprises (BDL) recorded EBIT of $4 million in fiscal Q3 2026 (quarter ended Jun 27, 2026), up 40.3% from $2.85 million a year earlier but down 4.1% from the prior quarter.
Flanigans Enterprises (BDL) EBIT (2010 - 2026) Analysis & Trends
On a TTM basis, Flanigans Enterprises' EBIT came in at $11.46 million as of Jun 27, 2026, up 50.1% year-over-year; for FY2025 (ended Sep 27, 2025), it was $8.75 million, up 49.7% from FY2024.
- Annual EBIT has a five-year compound annual growth rate of 24.6% (FY2020 to FY2025).
- Across earlier fiscal years, EBIT came in at $5.84 million in FY2024 (-16.8%), $7.02 million in FY2023 (+1.4%), $6.93 million in FY2022 (-19.9%) and $8.65 million in FY2021 (+197.1%).
- Quarterly EBIT has ranged from $416,000 in fiscal Q4 2023 to $4.17 million in fiscal Q2 2026 over the past five years.
- On a year-over-year basis, EBIT has increased for eight consecutive quarters, with growth averaging 63.0% over the last eight quarters.
- Peak year-over-year performance for EBIT in the last five years was growth of 214.3% in fiscal Q4 2025, against a decline of 81.4% in fiscal Q4 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $4.17 million (Q2 2026), $1.67 million (Q1 2026) and $1.63 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 165.31 Bn | 160.13 Bn | 6.42 Bn | 3.34 Bn |
| 2 | Starbucks | 108.61 Bn | 96.24 Bn | - | 980.40 Mn |
| 3 | Chipotle Mexican Grill | 40.32 Bn | 36.30 Bn | - | 525.60 Mn |
| 4 | Yum Brands | 37.73 Bn | 34.61 Bn | 1.47 Bn | 655.00 Mn |
| 5 | Restaurant Brands International | 24.95 Bn | 22.05 Bn | 1.38 Bn | 716.00 Mn |
| 6 | Darden Restaurants | 22.46 Bn | 21.57 Bn | -113.70 Mn | 516.80 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 716.00 Mn |
| 8 | Yum China Holdings | 14.17 Bn | 8.53 Bn | 537.00 Mn | 348.00 Mn |
| 9 | Texas Roadhouse | 10.39 Bn | 9.75 Bn | - | 142.79 Mn |
| 10 | Flanigans Enterprises | 83.30 Mn | 3.04 Mn | 32.66 Mn | 4.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 4.00 Mn |
| Mar 28, 2026 | 4.17 Mn |
| Dec 27, 2025 | 1.67 Mn |
| Sep 27, 2025 | 1.63 Mn |
| Jun 28, 2025 | 2.85 Mn |
| Mar 29, 2025 | 3.52 Mn |
| Dec 28, 2024 | 752,000.00 |
| Sep 28, 2024 | 517,000.00 |
| Jun 29, 2024 | 2.15 Mn |
| Mar 30, 2024 | 2.50 Mn |
| Dec 30, 2023 | 673,000.00 |
| Sep 30, 2023 | 416,000.00 |
| Jul 1, 2023 | 2.70 Mn |
| Apr 1, 2023 | 2.71 Mn |
| Dec 31, 2022 | 1.20 Mn |
| Oct 1, 2022 | 2.23 Mn |
| Jul 2, 2022 | 2.08 Mn |
| Apr 2, 2022 | 1.85 Mn |
| Jan 1, 2022 | 765,000.00 |
| Oct 2, 2021 | 1.98 Mn |
Flanigans Enterprises EBIT 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=ebit&ticker=BDL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=BDL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();