Flanigans Enterprises (BDL) Return on Sales [ROS] (2009 - 2026)
Flanigans Enterprises (BDL) reported Return on Sales [ROS] of 7.12% for fiscal Q3 2026 (quarter ended Jun 27, 2026), up 1.62 percentage points from 5.50% a year earlier but down 0.26 percentage points from the prior quarter.
Flanigans Enterprises (BDL) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 27, 2026, Flanigans Enterprises' Return on Sales [ROS] came in at 5.32%, up 1.52 percentage points year-over-year; for FY2025 (ended Sep 27, 2025), it was 4.26%, up 1.14 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of +1.68 percentage points (FY2020 to FY2025).
- By fiscal year, Return on Sales [ROS] came in at 3.12% in FY2024 (-0.91 pp), 4.03% in FY2023 (-0.35 pp), 4.38% in FY2022 (-1.92 pp) and 6.30% in FY2021 (+3.72 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of 0.96% in fiscal Q4 2023 and a high of 7.38% in fiscal Q2 2026.
- Year over year, Return on Sales [ROS] has now increased in each of the last six quarters, with an average year-over-year change of +1.10 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was fiscal Q4 2021 (a gain of 2.71 percentage points); the low point was fiscal Q4 2023 (a drop of 4.66 percentage points).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at 7.38% (Q2 2026), 3.17% (Q1 2026) and 3.25% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 199.07 Bn | 195.11 Bn | 6.47 Bn | 50.23% |
| 2 | Starbucks | 125.34 Bn | 125.35 Bn | - | - |
| 3 | Chipotle Mexican Grill | 45.50 Bn | 42.00 Bn | - | 13.72% |
| 4 | Yum Brands | 42.97 Bn | 38.79 Bn | 1.38 Bn | 112.80% |
| 5 | Restaurant Brands International | 27.07 Bn | 24.44 Bn | 1.40 Bn | 27.56% |
| 6 | Darden Restaurants | 25.87 Bn | 24.97 Bn | 1.68 Bn | 9.98% |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 27.56% |
| 8 | Yum China Holdings | 16.86 Bn | 11.73 Bn | 652.00 Mn | 12.97% |
| 9 | Texas Roadhouse | 12.35 Bn | 11.68 Bn | 1.02 Bn | 6.55% |
| 10 | Flanigans Enterprises | 108.08 Mn | 27.82 Mn | 32.66 Mn | 7.12% |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 7.12% |
| Mar 28, 2026 | 7.38% |
| Dec 27, 2025 | 3.17% |
| Sep 27, 2025 | 3.25% |
| Jun 28, 2025 | 5.50% |
| Mar 29, 2025 | 6.59% |
| Dec 28, 2024 | 1.50% |
| Sep 28, 2024 | 1.13% |
| Jun 29, 2024 | 4.40% |
| Mar 30, 2024 | 5.24% |
| Dec 30, 2023 | 1.50% |
| Sep 30, 2023 | 0.96% |
| Jul 1, 2023 | 5.95% |
| Apr 1, 2023 | 6.19% |
| Dec 31, 2022 | 2.86% |
| Oct 1, 2022 | 5.62% |
| Jul 2, 2022 | 5.12% |
| Apr 2, 2022 | 4.59% |
| Jan 1, 2022 | 2.05% |
| Oct 2, 2021 | 5.88% |
Flanigans Enterprises Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=BDL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=BDL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();