Flanigans Enterprises (BDL) Operating Expenses (2010 - 2026)
Flanigans Enterprises' Operating Expenses came in at $52.2 million for fiscal Q3 2026 (quarter ended Jun 27, 2026), up 6.4% from $49.04 million a year earlier but down 0.3% from the prior quarter.
Flanigans Enterprises (BDL) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 27, 2026, Flanigans Enterprises reported Operating Expenses of $203.82 million, up 5.6% year-over-year; for FY2025 (ended Sep 27, 2025), it came in at $196.5 million, up 8.3% from FY2024.
- Operating Expenses has increased in each of the last eight fiscal years, with a five-year compound annual growth rate of 12.3% (FY2020 to FY2025).
- Going back by fiscal year, Operating Expenses was $181.38 million in FY2024 (+8.4%), $167.37 million in FY2023 (+10.7%), $151.2 million in FY2022 (+17.5%) and $128.66 million in FY2021 (+16.9%).
- The five-year range for quarterly Operating Expenses is $31.66 million (fiscal Q4 2021) to $52.35 million (fiscal Q2 2026).
- Year-over-year, Operating Expenses has increased for 24 consecutive quarters, with growth averaging 6.6% over the last eight quarters.
- Over the past five years, the year-over-year growth in Operating Expenses ranged from 3.4% (fiscal Q1 2026) to 21.9% (fiscal Q2 2022).
- Business Quant data shows BDL's Operating Expenses at $52.35 million (Q2 2026), $50.9 million (Q1 2026) and $48.38 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 173.53 Bn | 168.36 Bn | 6.42 Bn | 3.76 Bn |
| 2 | Starbucks | 112.49 Bn | 100.11 Bn | - | 8.42 Bn |
| 3 | Yum Brands | 41.47 Bn | 38.36 Bn | 1.47 Bn | 1.51 Bn |
| 4 | Chipotle Mexican Grill | 36.82 Bn | 32.80 Bn | - | 2.82 Bn |
| 5 | Restaurant Brands International | 26.09 Bn | 21.64 Bn | 1.38 Bn | 1.80 Bn |
| 6 | Darden Restaurants | 24.72 Bn | 23.81 Bn | 1.68 Bn | 2.88 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 1.80 Bn |
| 8 | Yum China Holdings | 15.48 Bn | 9.13 Bn | 537.00 Mn | 2.79 Bn |
| 9 | Texas Roadhouse | 11.03 Bn | 10.37 Bn | - | 1.54 Bn |
| 10 | Flanigans Enterprises | 92.11 Mn | 11.85 Mn | 32.66 Mn | 52.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 52.20 Mn |
| Mar 28, 2026 | 52.35 Mn |
| Dec 27, 2025 | 50.90 Mn |
| Sep 27, 2025 | 48.38 Mn |
| Jun 28, 2025 | 49.04 Mn |
| Mar 29, 2025 | 49.84 Mn |
| Dec 28, 2024 | 49.24 Mn |
| Sep 28, 2024 | 44.83 Mn |
| Jun 29, 2024 | 46.82 Mn |
| Mar 30, 2024 | 45.38 Mn |
| Dec 30, 2023 | 44.35 Mn |
| Sep 30, 2023 | 42.94 Mn |
| Jul 1, 2023 | 42.67 Mn |
| Apr 1, 2023 | 41.09 Mn |
| Dec 31, 2022 | 40.66 Mn |
| Oct 1, 2022 | 37.49 Mn |
| Jul 2, 2022 | 38.59 Mn |
| Apr 2, 2022 | 38.48 Mn |
| Jan 1, 2022 | 36.64 Mn |
| Oct 2, 2021 | 31.66 Mn |
Flanigans Enterprises Operating Expenses 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=operating-expenses&ticker=BDL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=BDL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();