Flanigans Enterprises (BDL) Other Operating Expenses (2010 - 2026)
Flanigans Enterprises (BDL) reported Other Operating Expenses of $7.16 million for fiscal Q3 2026 (quarter ended Jun 27, 2026), up 2.7% from $6.97 million a year earlier and up 6.5% from the prior quarter.
Flanigans Enterprises (BDL) Other Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 27, 2026, Flanigans Enterprises' Other Operating Expenses came in at $28.19 million, up 7.4% year-over-year; for FY2025 (ended Sep 27, 2025), it came in at $27.44 million, up 11.1% from FY2024.
- Other Operating Expenses has a five-year compound annual growth rate of 202.1% (FY2020 to FY2025).
- By fiscal year, Other Operating Expenses came in at $24.7 million in FY2024 (+4.4%), $23.66 million in FY2023 (-79.9%), $117.6 million in FY2022 and $262,000 in FY2021 (+140.4%).
- Five-year quarterly Other Operating Expenses spans a low of $5.91 million in fiscal Q1 2024 and a high of $31.6 million in fiscal Q2 2023.
- Year over year, Other Operating Expenses has now increased in each of the last seven quarters, with growth averaging 6.9% over the last eight quarters.
- The high point for year-over-year Other Operating Expenses in five years was fiscal Q1 2022 (growth of 26.6%); the low point was fiscal Q1 2024 (a decline of 81.2%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $6.73 million (Q2 2026), $6.99 million (Q1 2026) and $7.32 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 163.51 Bn | 158.34 Bn | 6.42 Bn |
| 2 | Starbucks | 107.11 Bn | 94.75 Bn | - |
| 3 | Chipotle Mexican Grill | 40.42 Bn | 36.40 Bn | - |
| 4 | Yum Brands | 37.23 Bn | 34.12 Bn | 1.47 Bn |
| 5 | Restaurant Brands International | 24.82 Bn | 21.92 Bn | 1.38 Bn |
| 6 | Darden Restaurants | 22.06 Bn | 21.17 Bn | -113.70 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn |
| 8 | Yum China Holdings | 14.18 Bn | 8.54 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 10.25 Bn | 9.62 Bn | - |
| 10 | Flanigans Enterprises | 87.80 Mn | 7.54 Mn | 32.66 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 7.16 Mn |
| Mar 28, 2026 | 6.73 Mn |
| Dec 27, 2025 | 6.99 Mn |
| Sep 27, 2025 | 7.32 Mn |
| Jun 28, 2025 | 6.97 Mn |
| Mar 29, 2025 | 6.64 Mn |
| Dec 28, 2024 | 6.50 Mn |
| Sep 28, 2024 | 6.14 Mn |
| Jun 29, 2024 | 6.27 Mn |
| Mar 30, 2024 | 6.38 Mn |
| Dec 30, 2023 | 5.91 Mn |
| Sep 30, 2023 | 6.21 Mn |
| Jul 1, 2023 | 6.01 Mn |
| Apr 1, 2023 | 31.60 Mn |
| Dec 31, 2022 | 31.43 Mn |
| Oct 1, 2022 | 29.12 Mn |
| Jul 2, 2022 | 30.30 Mn |
| Apr 2, 2022 | 29.27 Mn |
| Jan 1, 2022 | 28.91 Mn |
| Oct 2, 2021 | 25.93 Mn |
Flanigans Enterprises Other 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=other-operating-expenses&ticker=BDL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=BDL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();