Flanigans Enterprises (BDL) Cash & Equivalents (2010 - 2026)
Flanigans Enterprises' Cash & Equivalents came in at $28.84 million for fiscal Q3 2026 (quarter ended Jun 27, 2026), up 58.4% from $18.21 million a year earlier and up 26.3% from the prior quarter.
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Analysis
Flanigans Enterprises (BDL) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 27, 2025), Flanigans Enterprises' Cash & Equivalents was $20.09 million, down 6.1% from FY2024.
- Cash & Equivalents has declined in each of the last three fiscal years, with a five-year compound annual growth rate of -7.7% (FY2020 to FY2025).
- Going back by fiscal year, Cash & Equivalents was $21.4 million in FY2024 (-16.2%), $25.53 million in FY2023 (-39.4%), $42.14 million in FY2022 (+29.0%) and $32.68 million in FY2021 (+9.2%).
- The fiscal Q3 2026 figure represents the highest quarterly Cash & Equivalents since fiscal Q2 2023.
- Year-over-year, Cash & Equivalents increased in three of the last eight quarters, with growth averaging 1.0%.
- The fastest year-over-year change in Cash & Equivalents over five years came in fiscal Q3 2026 (growth of 58.4%), and the weakest in fiscal Q2 2024 (a decline of 41.7%).
- Business Quant data shows BDL's Cash & Equivalents at $22.83 million (Q2 2026), $22.97 million (Q1 2026) and $20.09 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 164.07 Bn | 158.89 Bn | 6.42 Bn | 822.00 Mn |
| 2 | Starbucks | 108.16 Bn | 95.79 Bn | - | 3.45 Bn |
| 3 | Chipotle Mexican Grill | 40.91 Bn | 36.89 Bn | - | 228.20 Mn |
| 4 | Yum Brands | 37.32 Bn | 34.20 Bn | 1.47 Bn | 674.00 Mn |
| 5 | Restaurant Brands International | 24.36 Bn | 21.46 Bn | 1.38 Bn | 1.06 Bn |
| 6 | Darden Restaurants | 22.52 Bn | 21.62 Bn | -113.70 Mn | 219.50 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 1.06 Bn |
| 8 | Yum China Holdings | 14.14 Bn | 8.50 Bn | 537.00 Mn | 485.00 Mn |
| 9 | Texas Roadhouse | 10.28 Bn | 9.64 Bn | - | 202.43 Mn |
| 10 | Flanigans Enterprises | 88.17 Mn | 7.91 Mn | 32.66 Mn | 28.84 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 28.84 Mn |
| Mar 28, 2026 | 22.83 Mn |
| Dec 27, 2025 | 22.97 Mn |
| Sep 27, 2025 | 20.09 Mn |
| Jun 28, 2025 | 18.21 Mn |
| Mar 29, 2025 | 22.97 Mn |
| Dec 28, 2024 | 27.32 Mn |
| Sep 28, 2024 | 21.40 Mn |
| Jun 29, 2024 | 22.12 Mn |
| Mar 30, 2024 | 22.00 Mn |
| Dec 30, 2023 | 26.90 Mn |
| Sep 30, 2023 | 25.53 Mn |
| Jul 1, 2023 | 27.11 Mn |
| Apr 1, 2023 | 37.76 Mn |
| Dec 31, 2022 | 43.14 Mn |
| Oct 1, 2022 | 42.14 Mn |
| Jul 2, 2022 | 35.66 Mn |
| Apr 2, 2022 | 40.67 Mn |
| Jan 1, 2022 | 33.60 Mn |
| Oct 2, 2021 | 32.68 Mn |
API Access
Flanigans Enterprises Cash & Equivalents 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=cash-and-equivalents&ticker=BDL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=BDL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();