Flanigans Enterprises (BDL) Non-Current Assets (2010 - 2026)
Flanigans Enterprises (BDL) reported Non-Current Assets of $117.32 million for fiscal Q3 2026 (quarter ended Jun 27, 2026), up 6.3% from $110.41 million a year earlier and up 6.3% from the prior quarter.
Flanigans Enterprises (BDL) Non-Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 27, 2025), Flanigans Enterprises posted Non-Current Assets of $701,000, down 0.6% from FY2024.
- Non-Current Assets has declined for three consecutive fiscal years, though with a five-year compound annual growth rate of 1.4% (FY2020 to FY2025).
- By fiscal year, Non-Current Assets came in at $705,000 in FY2024 (-3.8%), $733,000 in FY2023 (-1.3%), $743,000 in FY2022 (+6.0%) and $701,000 in FY2021 (+7.0%).
- The fiscal Q3 2026 figure ranks as the highest quarterly Non-Current Assets in data going back to fiscal Q4 2010.
- Year over year, Non-Current Assets gained in four of the last eight quarters, with growth averaging 0.2%.
- The high point for year-over-year Non-Current Assets in five years was fiscal Q1 2022 (growth of 17.2%); the low point was fiscal Q4 2024 (a decline of 3.8%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $110.35 million (Q2 2026), $109.03 million (Q1 2026) and $701,000 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 165.31 Bn | 160.13 Bn | 6.42 Bn | 55.58 Bn |
| 2 | Starbucks | 108.61 Bn | 96.24 Bn | - | 20.76 Bn |
| 3 | Chipotle Mexican Grill | 40.32 Bn | 36.30 Bn | - | 7.92 Bn |
| 4 | Yum Brands | 37.73 Bn | 34.61 Bn | 1.47 Bn | 6.14 Bn |
| 5 | Restaurant Brands International | 24.95 Bn | 22.05 Bn | 1.38 Bn | 22.68 Bn |
| 6 | Darden Restaurants | 22.46 Bn | 21.57 Bn | -113.70 Mn | 11.92 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 22.68 Bn |
| 8 | Yum China Holdings | 14.17 Bn | 8.53 Bn | 537.00 Mn | 8.52 Bn |
| 9 | Texas Roadhouse | 10.39 Bn | 9.75 Bn | - | 3.31 Bn |
| 10 | Flanigans Enterprises | 83.30 Mn | 3.04 Mn | 32.66 Mn | 117.32 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 117.32 Mn |
| Mar 28, 2026 | 110.35 Mn |
| Dec 27, 2025 | 109.03 Mn |
| Sep 27, 2025 | 701,000.00 |
| Jun 28, 2025 | 110.41 Mn |
| Mar 29, 2025 | 109.12 Mn |
| Dec 28, 2024 | 109.89 Mn |
| Sep 28, 2024 | 705,000.00 |
| Jun 29, 2024 | 109.79 Mn |
| Mar 30, 2024 | 110.26 Mn |
| Dec 30, 2023 | 109.70 Mn |
| Sep 30, 2023 | 733,000.00 |
| Jul 1, 2023 | 109.08 Mn |
| Apr 1, 2023 | 98.95 Mn |
| Dec 31, 2022 | 97.80 Mn |
| Oct 1, 2022 | 743,000.00 |
| Jul 2, 2022 | 94.09 Mn |
| Apr 2, 2022 | 91.30 Mn |
| Jan 1, 2022 | 89.03 Mn |
| Oct 2, 2021 | 701,000.00 |
Flanigans Enterprises Non-Current Assets 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=non-current-assets&ticker=BDL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=BDL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();