Flanigans Enterprises (BDL) Receivables (2010 - 2023)
Flanigans Enterprises' Receivables came in at $1.67 million for fiscal Q4 2023 (quarter ended Sep 30, 2023), up 265.8% from $456,000 a year earlier and up 155.0% from the prior quarter.
Flanigans Enterprises (BDL) Receivables (2010 - 2023) Analysis & Trends
Going back to fiscal Q4 2010, Flanigans Enterprises' Receivables data covers 48 quarters.
- Receivables carries a five-year compound annual growth rate of 28.6% (FY2018 to FY2023).
- Going back by fiscal year, Receivables was $456,000 in FY2022 (+1.3%), $450,000 in FY2021 (-33.9%), $681,000 in FY2020 (-21.7%) and $870,000 in FY2019 (+83.5%).
- The fiscal Q4 2023 figure represents the highest quarterly Receivables since fiscal Q1 2019.
- Year-over-year, Receivables has increased for three consecutive quarters, with growth averaging 49.5% over the last eight quarters.
- The fastest year-over-year change in Receivables over five years came in fiscal Q4 2023 (growth of 265.8%), and the weakest in fiscal Q3 2021 (a decline of 56.7%).
- Business Quant data shows BDL's Receivables at $654,000 (Q3 2023), $710,000 (Q2 2023) and $639,000 (Q1 2023) in the three fiscal quarters before Q4 2023.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 165.31 Bn | 160.13 Bn | 6.42 Bn | 2.49 Bn |
| 2 | Starbucks | 108.61 Bn | 96.24 Bn | - | 1.30 Bn |
| 3 | Chipotle Mexican Grill | 40.32 Bn | 36.30 Bn | - | 100.31 Mn |
| 4 | Yum Brands | 37.73 Bn | 34.61 Bn | 1.47 Bn | 623.00 Mn |
| 5 | Restaurant Brands International | 24.95 Bn | 22.05 Bn | 1.38 Bn | 800.00 Mn |
| 6 | Darden Restaurants | 22.46 Bn | 21.57 Bn | -113.70 Mn | 129.90 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 800.00 Mn |
| 8 | Yum China Holdings | 14.17 Bn | 8.53 Bn | 537.00 Mn | 115.00 Mn |
| 9 | Texas Roadhouse | 10.39 Bn | 9.75 Bn | - | 74.14 Mn |
| 10 | Flanigans Enterprises | 83.30 Mn | 3.04 Mn | 32.66 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | 1.67 Mn |
| Jul 1, 2023 | 654,000.00 |
| Apr 1, 2023 | 710,000.00 |
| Dec 31, 2022 | 639,000.00 |
| Oct 1, 2022 | 456,000.00 |
| Jul 2, 2022 | 432,000.00 |
| Apr 2, 2022 | 564,000.00 |
| Jan 1, 2022 | 699,000.00 |
| Oct 2, 2021 | 450,000.00 |
| Jul 3, 2021 | 384,000.00 |
| Apr 3, 2021 | 497,000.00 |
| Jan 2, 2021 | 520,000.00 |
| Oct 3, 2020 | 681,000.00 |
| Jun 27, 2020 | 887,000.00 |
| Mar 28, 2020 | 762,000.00 |
| Dec 28, 2019 | 921,000.00 |
| Sep 28, 2019 | 870,000.00 |
| Jun 29, 2019 | 636,000.00 |
| Mar 30, 2019 | 495,000.00 |
| Dec 29, 2018 | 1.79 Mn |
Flanigans Enterprises Receivables 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=receivables&ticker=BDL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=BDL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();