Flanigans Enterprises (BDL) Cash from Operations (2010 - 2026)
Flanigans Enterprises (BDL) recorded Cash from Operations of $5.74 million in fiscal Q3 2026 (quarter ended Jun 27, 2026), up 303.8% from $1.42 million a year earlier and up 167.9% from the prior quarter.
Flanigans Enterprises (BDL) Cash from Operations (2010 - 2026) Analysis & Trends
On a TTM basis, Flanigans Enterprises' Cash from Operations came in at $16.19 million as of Jun 27, 2026, up 89.1% year-over-year; for FY2025 (ended Sep 27, 2025), it came in at $10.51 million, up 58.5% from FY2024.
- Annual Cash from Operations has a five-year compound annual growth rate of 3.7% (FY2020 to FY2025).
- Across earlier fiscal years, Cash from Operations came in at $6.63 million in FY2024 (-21.9%), $8.49 million in FY2023 (-19.2%), $10.5 million in FY2022 (-25.1%) and $14.02 million in FY2021 (+59.5%).
- The fiscal Q3 2026 figure is the highest quarterly Cash from Operations since fiscal Q1 2025.
- On a year-over-year basis, Cash from Operations rose in four of the last six quarters, with growth averaging 80.8%.
- Peak year-over-year performance for Cash from Operations in the last five years was growth of 401.0% in fiscal Q3 2023, against a decline of 86.5% in fiscal Q3 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $2.14 million (Q2 2026), $4.95 million (Q1 2026) and $3.36 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 163.51 Bn | 158.34 Bn | 6.42 Bn | 2.81 Bn |
| 2 | Starbucks | 107.11 Bn | 94.75 Bn | - | 1.64 Bn |
| 3 | Chipotle Mexican Grill | 40.42 Bn | 36.40 Bn | - | 680.65 Mn |
| 4 | Yum Brands | 37.23 Bn | 34.12 Bn | 1.47 Bn | 507.00 Mn |
| 5 | Restaurant Brands International | 24.82 Bn | 21.92 Bn | 1.38 Bn | 530.00 Mn |
| 6 | Darden Restaurants | 22.06 Bn | 21.17 Bn | -113.70 Mn | 572.10 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 530.00 Mn |
| 8 | Yum China Holdings | 14.18 Bn | 8.54 Bn | 537.00 Mn | 426.00 Mn |
| 9 | Texas Roadhouse | 10.25 Bn | 9.62 Bn | - | 180.15 Mn |
| 10 | Flanigans Enterprises | 87.80 Mn | 7.54 Mn | 32.66 Mn | 5.74 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 5.74 Mn |
| Mar 28, 2026 | 2.14 Mn |
| Dec 27, 2025 | 4.95 Mn |
| Sep 27, 2025 | 3.36 Mn |
| Jun 28, 2025 | 1.42 Mn |
| Mar 29, 2025 | -1.97 Mn |
| Dec 28, 2024 | 7.70 Mn |
| Sep 28, 2024 | 1.41 Mn |
| Jun 29, 2024 | 3.09 Mn |
| Mar 30, 2024 | -1.32 Mn |
| Dec 30, 2023 | 3.45 Mn |
| Sep 30, 2023 | 1.29 Mn |
| Jul 1, 2023 | 3.01 Mn |
| Apr 1, 2023 | -1.69 Mn |
| Dec 31, 2022 | 5.88 Mn |
| Oct 1, 2022 | 2.71 Mn |
| Jul 2, 2022 | 600,000.00 |
| Apr 2, 2022 | 2.96 Mn |
| Jan 1, 2022 | 4.23 Mn |
| Oct 2, 2021 | 2.49 Mn |
Flanigans Enterprises Cash from Operations 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-from-operations&ticker=BDL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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-from-operations&ticker=BDL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();