Flanigans Enterprises (BDL) Inventory (2010 - 2026)
Flanigans Enterprises (BDL) recorded Inventory of $7.2 million in fiscal Q3 2026 (quarter ended Jun 27, 2026), up 1.0% from $7.13 million a year earlier and up 3.6% from the prior quarter.
Powered by 
Analysis
Flanigans Enterprises (BDL) Inventory (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 27, 2025), Flanigans Enterprises reported Inventory of $6.92 million, down 1.4% from FY2024.
- Annual Inventory has a five-year compound annual growth rate of 13.8% (FY2020 to FY2025).
- Across earlier fiscal years, Inventory came in at $7.02 million in FY2024 (-2.5%), $7.2 million in FY2023 (+10.9%), $6.49 million in FY2022 (+28.2%) and $5.06 million in FY2021 (+39.6%).
- The fiscal Q3 2026 figure is the highest quarterly Inventory since fiscal Q2 2025.
- On a year-over-year basis, Inventory rose in 1 of the last eight quarters, with an average decline of 2.8%.
- Peak year-over-year performance for Inventory in the last five years was growth of 41.6% in fiscal Q1 2023, against a decline of 5.6% in fiscal Q1 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $6.95 million (Q2 2026), $7.07 million (Q1 2026) and $6.92 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 165.31 Bn | 160.13 Bn | 6.42 Bn | 58.00 Mn |
| 2 | Starbucks | 108.61 Bn | 96.24 Bn | - | 2.21 Bn |
| 3 | Chipotle Mexican Grill | 40.32 Bn | 36.30 Bn | - | 46.62 Mn |
| 4 | Yum Brands | 37.73 Bn | 34.61 Bn | 1.47 Bn | - |
| 5 | Restaurant Brands International | 24.95 Bn | 22.05 Bn | 1.38 Bn | 224.00 Mn |
| 6 | Darden Restaurants | 22.46 Bn | 21.57 Bn | -113.70 Mn | 326.30 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 224.00 Mn |
| 8 | Yum China Holdings | 14.17 Bn | 8.53 Bn | 537.00 Mn | 459.00 Mn |
| 9 | Texas Roadhouse | 10.39 Bn | 9.75 Bn | - | 49.69 Mn |
| 10 | Flanigans Enterprises | 83.30 Mn | 3.04 Mn | 32.66 Mn | 7.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 7.20 Mn |
| Mar 28, 2026 | 6.95 Mn |
| Dec 27, 2025 | 7.07 Mn |
| Sep 27, 2025 | 6.92 Mn |
| Jun 28, 2025 | 7.13 Mn |
| Mar 29, 2025 | 7.29 Mn |
| Dec 28, 2024 | 7.50 Mn |
| Sep 28, 2024 | 7.02 Mn |
| Jun 29, 2024 | 7.52 Mn |
| Mar 30, 2024 | 7.39 Mn |
| Dec 30, 2023 | 7.68 Mn |
| Sep 30, 2023 | 7.20 Mn |
| Jul 1, 2023 | 7.14 Mn |
| Apr 1, 2023 | 6.56 Mn |
| Dec 31, 2022 | 6.56 Mn |
| Oct 1, 2022 | 6.49 Mn |
| Jul 2, 2022 | 5.53 Mn |
| Apr 2, 2022 | 4.93 Mn |
| Jan 1, 2022 | 4.64 Mn |
| Oct 2, 2021 | 5.06 Mn |
API Access
Flanigans Enterprises Inventory 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=inventory&ticker=BDL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=BDL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();