Flanigans Enterprises (BDL) Cost of Revenue (2022 - 2026)
Flanigans Enterprises (BDL) posted Cost of Revenue of $23.54 million for fiscal Q3 2026 (quarter ended Jun 27, 2026), up 8.3% from $21.74 million a year earlier but down 2.1% from the prior quarter.
Flanigans Enterprises (BDL) Cost of Revenue (2022 - 2026) Analysis & Trends
For the trailing twelve months through Jun 27, 2026, Cost of Revenue at Flanigans Enterprises was $91.21 million, up 5.5% year-over-year; for FY2025 (ended Sep 27, 2025), it was $87.36 million, up 9.2% from FY2024.
- In prior fiscal years, Flanigans Enterprises' Cost of Revenue was $79.99 million in FY2024 (+12.2%) and $71.3 million in FY2023.
- Quarterly Cost of Revenue has run from a low of $17.42 million in fiscal Q2 2023 to a high of $24.05 million in fiscal Q2 2026 over five years.
- On a year-over-year basis, Cost of Revenue has increased in each of the last 11 quarters, with growth averaging 8.2% over the last eight quarters.
- Over the past five years, the year-over-year growth in Cost of Revenue ranged from 1.8% (fiscal Q1 2026) to 14.2% (fiscal Q1 2025).
- According to Business Quant data, Cost of Revenue for the three prior fiscal quarters was $24.05 million (Q2 2026), $22.92 million (Q1 2026) and $20.7 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 164.13 Bn | 158.95 Bn | 6.42 Bn | 680.00 Mn |
| 2 | Starbucks | 107.97 Bn | 95.60 Bn | - | - |
| 3 | Chipotle Mexican Grill | 41.04 Bn | 37.02 Bn | - | - |
| 4 | Yum Brands | 37.16 Bn | 34.04 Bn | 1.47 Bn | 700.00 Mn |
| 5 | Restaurant Brands International | 24.42 Bn | 21.52 Bn | 1.38 Bn | 1.14 Bn |
| 6 | Darden Restaurants | 22.67 Bn | 21.77 Bn | 1.68 Bn | 1.52 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 1.14 Bn |
| 8 | Yum China Holdings | 13.79 Bn | 8.16 Bn | 537.00 Mn | 2.60 Bn |
| 9 | Texas Roadhouse | 10.24 Bn | 9.60 Bn | - | - |
| 10 | Flanigans Enterprises | 86.43 Mn | 6.16 Mn | 32.66 Mn | 23.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 23.54 Mn |
| Mar 28, 2026 | 24.05 Mn |
| Dec 27, 2025 | 22.92 Mn |
| Sep 27, 2025 | 20.70 Mn |
| Jun 28, 2025 | 21.74 Mn |
| Mar 29, 2025 | 22.40 Mn |
| Dec 28, 2024 | 22.51 Mn |
| Sep 28, 2024 | 19.77 Mn |
| Jun 29, 2024 | 20.81 Mn |
| Mar 30, 2024 | 19.70 Mn |
| Dec 30, 2023 | 19.71 Mn |
| Sep 30, 2023 | 17.85 Mn |
| Jul 1, 2023 | 18.23 Mn |
| Apr 1, 2023 | 17.42 Mn |
| Dec 31, 2022 | 17.79 Mn |
Flanigans Enterprises Cost of 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=cost-of-revenue&ticker=BDL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-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=cost-of-revenue&ticker=BDL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();