Flanigans Enterprises (BDL) Net Income (2010 - 2026)
Flanigans Enterprises' Net Income came in at $3.46 million for fiscal Q3 2026 (quarter ended Jun 27, 2026), up 39.0% from $2.49 million a year earlier but down 9.8% from the prior quarter.
Flanigans Enterprises (BDL) Net Income (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 27, 2026, Flanigans Enterprises reported Net Income of $10.35 million, up 51.1% year-over-year; for FY2025 (ended Sep 27, 2025), it came in at $8.02 million, up 51.3% from FY2024.
- Net Income carries a five-year compound annual growth rate of 29.7% (FY2020 to FY2025).
- Going back by fiscal year, Net Income was $5.3 million in FY2024 (-2.1%), $5.42 million in FY2023 (-40.1%), $9.05 million in FY2022 (-46.0%) and $16.77 million in FY2021 (+667.6%).
- The five-year range for quarterly Net Income is -$47,000 (fiscal Q4 2023) to $3.94 million (fiscal Q1 2022).
- Year-over-year, Net Income has increased for seven consecutive quarters, with growth averaging 82.3% over the last seven quarters.
- The fastest year-over-year change in Net Income over five years came in fiscal Q4 2025 (growth of 307.9%), and the weakest in fiscal Q1 2023 (a decline of 77.8%).
- Business Quant data shows BDL's Net Income at $3.84 million (Q2 2026), $1.5 million (Q1 2026) and $1.55 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 165.62 Bn | 160.44 Bn | 6.42 Bn | 2.36 Bn |
| 2 | Starbucks | 108.79 Bn | 96.42 Bn | - | 1.04 Bn |
| 3 | Chipotle Mexican Grill | 40.35 Bn | 36.33 Bn | - | 403.55 Mn |
| 4 | Yum Brands | 37.59 Bn | 34.48 Bn | 1.47 Bn | 853.00 Mn |
| 5 | Restaurant Brands International | 24.96 Bn | 22.07 Bn | 1.38 Bn | 665.00 Mn |
| 6 | Darden Restaurants | 22.28 Bn | 21.39 Bn | -113.70 Mn | 404.90 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 665.00 Mn |
| 8 | Yum China Holdings | 14.08 Bn | 8.44 Bn | 537.00 Mn | 264.00 Mn |
| 9 | Texas Roadhouse | 10.31 Bn | 9.67 Bn | - | 124.51 Mn |
| 10 | Flanigans Enterprises | 84.55 Mn | 4.29 Mn | 32.66 Mn | 3.46 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 3.46 Mn |
| Mar 28, 2026 | 3.84 Mn |
| Dec 27, 2025 | 1.50 Mn |
| Sep 27, 2025 | 1.55 Mn |
| Jun 28, 2025 | 2.49 Mn |
| Mar 29, 2025 | 3.35 Mn |
| Dec 28, 2024 | 632,000.00 |
| Sep 28, 2024 | 380,000.00 |
| Jun 29, 2024 | 1.80 Mn |
| Mar 30, 2024 | 2.52 Mn |
| Dec 30, 2023 | 594,000.00 |
| Sep 30, 2023 | -47,000.00 |
| Jul 1, 2023 | 2.41 Mn |
| Apr 1, 2023 | 2.18 Mn |
| Dec 31, 2022 | 874,000.00 |
| Oct 1, 2022 | 1.80 Mn |
| Jul 2, 2022 | 1.96 Mn |
| Apr 2, 2022 | 1.34 Mn |
| Jan 1, 2022 | 3.94 Mn |
| Oct 2, 2021 | 1.62 Mn |
Flanigans Enterprises Net Income 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=net-income&ticker=BDL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-income", "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=net-income&ticker=BDL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();