Flanigans Enterprises (BDL) Revenue (2010 - 2026)
Flanigans Enterprises (BDL) posted Revenue of $56.2 million for fiscal Q3 2026 (quarter ended Jun 27, 2026), up 8.3% from $51.89 million a year earlier but down 0.6% from the prior quarter.
Flanigans Enterprises (BDL) Revenue (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 27, 2026, Revenue at Flanigans Enterprises was $215.29 million, up 7.1% year-over-year; for FY2025 (ended Sep 27, 2025), it came in at $205.25 million, up 9.6% from FY2024.
- Annual Revenue has increased for five consecutive fiscal years, with a five-year compound annual growth rate of 12.7% (FY2020 to FY2025).
- In prior fiscal years, Flanigans Enterprises' Revenue was $187.22 million in FY2024 (+7.4%), $174.4 million in FY2023 (+10.3%), $158.13 million in FY2022 (+15.2%) and $137.31 million in FY2021 (+21.5%).
- Quarterly Revenue has run from a low of $33.64 million in fiscal Q4 2021 to a high of $56.52 million in fiscal Q2 2026 over five years.
- On a year-over-year basis, Revenue has increased in each of the last 23 quarters, with growth averaging 7.9% over the last eight quarters.
- The year-over-year growth in Revenue has ranged between 5.1% (fiscal Q1 2026) and 19.2% (fiscal Q1 2022) over the last five years.
- According to Business Quant data, Revenue for the three prior fiscal quarters was $56.52 million (Q2 2026), $52.57 million (Q1 2026) and $50 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 165.31 Bn | 160.13 Bn | 6.42 Bn | 7.10 Bn |
| 2 | Starbucks | 108.61 Bn | 96.24 Bn | - | 9.32 Bn |
| 3 | Chipotle Mexican Grill | 40.32 Bn | 36.30 Bn | - | 3.35 Bn |
| 4 | Yum Brands | 37.73 Bn | 34.61 Bn | 1.47 Bn | 2.17 Bn |
| 5 | Restaurant Brands International | 24.95 Bn | 22.05 Bn | 1.38 Bn | 2.52 Bn |
| 6 | Darden Restaurants | 22.46 Bn | 21.57 Bn | -113.70 Mn | 3.72 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 2.52 Bn |
| 8 | Yum China Holdings | 14.17 Bn | 8.53 Bn | 537.00 Mn | 3.14 Bn |
| 9 | Texas Roadhouse | 10.39 Bn | 9.75 Bn | - | 1.68 Bn |
| 10 | Flanigans Enterprises | 83.30 Mn | 3.04 Mn | 32.66 Mn | 56.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 56.20 Mn |
| Mar 28, 2026 | 56.52 Mn |
| Dec 27, 2025 | 52.57 Mn |
| Sep 27, 2025 | 50.00 Mn |
| Jun 28, 2025 | 51.89 Mn |
| Mar 29, 2025 | 53.36 Mn |
| Dec 28, 2024 | 50.00 Mn |
| Sep 28, 2024 | 45.75 Mn |
| Jun 29, 2024 | 48.82 Mn |
| Mar 30, 2024 | 47.76 Mn |
| Dec 30, 2023 | 44.89 Mn |
| Sep 30, 2023 | 43.36 Mn |
| Jul 1, 2023 | 45.37 Mn |
| Apr 1, 2023 | 43.80 Mn |
| Dec 31, 2022 | 41.86 Mn |
| Oct 1, 2022 | 39.72 Mn |
| Jul 2, 2022 | 40.68 Mn |
| Apr 2, 2022 | 40.33 Mn |
| Jan 1, 2022 | 37.40 Mn |
| Oct 2, 2021 | 33.64 Mn |
Flanigans Enterprises Revenue 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=revenue&ticker=BDL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=BDL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();