Flanigans Enterprises (BDL) Tax Provisions (2010 - 2026)
Flanigans Enterprises (BDL) posted Tax Provisions of $339,000 for fiscal Q3 2026 (quarter ended Jun 27, 2026), up 40.1% from $242,000 a year earlier but down 24.0% from the prior quarter.
Flanigans Enterprises (BDL) Tax Provisions (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 27, 2026, Tax Provisions at Flanigans Enterprises was $947,000, up 42.4% year-over-year; for FY2025 (ended Sep 27, 2025), it was $622,000, up 117.5% from FY2024.
- In prior fiscal years, Flanigans Enterprises' Tax Provisions was $286,000 in FY2024 (-55.9%), $649,000 in FY2023 (-14.9%), $763,000 in FY2022 (-35.6%) and $1.19 million in FY2021.
- Quarterly Tax Provisions has run from a low of -$55,000 in fiscal Q2 2024 to a high of $446,000 in fiscal Q2 2026 over five years.
- On a year-over-year basis, Tax Provisions has increased in each of the last three quarters, with growth averaging 35.1% over the last six quarters.
- The strongest year-over-year quarter for Tax Provisions in the past five years was fiscal Q3 2024, with growth of 452.9%; the weakest was fiscal Q3 2022, with a decline of 95.4%.
- According to Business Quant data, Tax Provisions for the three prior fiscal quarters was $446,000 (Q2 2026), $128,000 (Q1 2026) and $34,000 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 165.62 Bn | 160.44 Bn | 6.42 Bn | 574.00 Mn |
| 2 | Starbucks | 108.79 Bn | 96.42 Bn | - | 374.40 Mn |
| 3 | Chipotle Mexican Grill | 40.35 Bn | 36.33 Bn | - | 129.73 Mn |
| 4 | Yum Brands | 37.59 Bn | 34.48 Bn | 1.47 Bn | -320.00 Mn |
| 5 | Restaurant Brands International | 24.96 Bn | 22.07 Bn | 1.38 Bn | -73.00 Mn |
| 6 | Darden Restaurants | 22.28 Bn | 21.39 Bn | -113.70 Mn | 57.80 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | -73.00 Mn |
| 8 | Yum China Holdings | 14.08 Bn | 8.44 Bn | 537.00 Mn | 92.00 Mn |
| 9 | Texas Roadhouse | 10.31 Bn | 9.67 Bn | - | 19.48 Mn |
| 10 | Flanigans Enterprises | 84.55 Mn | 4.29 Mn | 32.66 Mn | 339,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 339,000.00 |
| Mar 28, 2026 | 446,000.00 |
| Dec 27, 2025 | 128,000.00 |
| Sep 27, 2025 | 34,000.00 |
| Jun 28, 2025 | 242,000.00 |
| Mar 29, 2025 | 311,000.00 |
| Dec 28, 2024 | 35,000.00 |
| Sep 28, 2024 | 77,000.00 |
| Jun 29, 2024 | 282,000.00 |
| Mar 30, 2024 | -55,000.00 |
| Dec 30, 2023 | -18,000.00 |
| Sep 30, 2023 | 245,000.00 |
| Jul 1, 2023 | 51,000.00 |
| Apr 1, 2023 | 290,000.00 |
| Dec 31, 2022 | 63,000.00 |
| Oct 1, 2022 | 241,000.00 |
| Jul 2, 2022 | 22,000.00 |
| Apr 2, 2022 | 353,000.00 |
| Jan 1, 2022 | 147,000.00 |
| Oct 2, 2021 | 181,000.00 |
Flanigans Enterprises Tax Provisions 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=tax-provisions&ticker=BDL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=BDL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();