Flanigans Enterprises (BDL) Other Accumulated Expenses (2019 - 2026)
Flanigans Enterprises' Other Accumulated Expenses was $25,000 in fiscal Q3 2026 (quarter ended Jun 27, 2026), down 91.0% from $277,000 a year earlier and down 21.9% from the prior quarter.
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Analysis
Flanigans Enterprises (BDL) Other Accumulated Expenses (2019 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 27, 2025), Other Accumulated Expenses at Flanigans Enterprises came in at $157,000.
- The fiscal Q3 2026 figure marks the lowest quarterly Other Accumulated Expenses in data going back to fiscal Q1 2020.
- Per Business Quant data, BDL's Other Accumulated Expenses in the three fiscal quarters before Q3 2026 was $32,000 (Q2 2026), $38,000 (Q1 2026) and $157,000 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 164.13 Bn | 158.95 Bn | 6.42 Bn |
| 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 |
| 5 | Restaurant Brands International | 24.42 Bn | 21.52 Bn | 1.38 Bn |
| 6 | Darden Restaurants | 22.67 Bn | 21.77 Bn | 1.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn |
| 8 | Yum China Holdings | 13.79 Bn | 8.16 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 10.24 Bn | 9.60 Bn | - |
| 10 | Flanigans Enterprises | 86.43 Mn | 6.16 Mn | 32.66 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 25,000.00 |
| Mar 28, 2026 | 32,000.00 |
| Dec 27, 2025 | 38,000.00 |
| Sep 27, 2025 | 157,000.00 |
| Jun 28, 2025 | 277,000.00 |
| Mar 29, 2025 | 396,000.00 |
| Jul 1, 2023 | 5.50 Mn |
| Apr 1, 2023 | 5.50 Mn |
| Dec 31, 2022 | 5.50 Mn |
| Jun 27, 2020 | 3.15 Mn |
| Mar 28, 2020 | 3.11 Mn |
| Dec 28, 2019 | 1.81 Mn |
API Access
Flanigans Enterprises Other Accumulated 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-accumulated-expenses&ticker=BDL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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-accumulated-expenses&ticker=BDL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();