Flanigans Enterprises (BDL) EPS (Diluted) (2011 - 2026)
Flanigans Enterprises (BDL) recorded EPS (Diluted) of $1.11 in fiscal Q3 2026 (quarter ended Jun 27, 2026), up 48.1% from $0.75 a year earlier but down 28.3% from the prior quarter.
Flanigans Enterprises (BDL) EPS (Diluted) (2011 - 2026) Analysis & Trends
On a TTM basis, Flanigans Enterprises' EPS (Diluted) came in at $3.57 as of Jun 27, 2026, up 53.6% year-over-year; for FY2025 (ended Sep 27, 2025), it was $2.71, up 50.0% from FY2024.
- Annual EPS (Diluted) has a five-year compound annual growth rate of 35.3% (FY2020 to FY2025).
- Across earlier fiscal years, EPS (Diluted) came in at $1.81 in FY2024 (-16.1%), $2.15 in FY2023 (-36.6%), $3.40 in FY2022 (-46.4%) and $6.34 in FY2021 (+962.4%).
- Quarterly EPS (Diluted) has ranged from -$0.07 in fiscal Q4 2023 to $1.55 in fiscal Q2 2026 over the past five years.
- On a year-over-year basis, EPS (Diluted) rose in five of the last six quarters, with growth averaging 75.8%.
- Peak year-over-year performance for EPS (Diluted) in the last five years was growth of 387.0% in fiscal Q4 2025, against a decline of 82.5% in fiscal Q1 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $1.55 (Q2 2026), $0.43 (Q1 2026) and $0.48 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 165.31 Bn | 160.13 Bn | 6.42 Bn | 3.32 |
| 2 | Starbucks | 108.61 Bn | 96.24 Bn | - | 0.91 |
| 3 | Chipotle Mexican Grill | 40.32 Bn | 36.30 Bn | - | 0.32 |
| 4 | Yum Brands | 37.73 Bn | 34.61 Bn | 1.47 Bn | 3.08 |
| 5 | Restaurant Brands International | 24.95 Bn | 22.05 Bn | 1.38 Bn | 1.10 |
| 6 | Darden Restaurants | 22.46 Bn | 21.57 Bn | -113.70 Mn | 3.48 |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 1.98 |
| 8 | Yum China Holdings | 14.17 Bn | 8.53 Bn | 537.00 Mn | 0.70 |
| 9 | Texas Roadhouse | 10.39 Bn | 9.75 Bn | - | 1.85 |
| 10 | Flanigans Enterprises | 83.30 Mn | 3.04 Mn | 32.66 Mn | 1.11 |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 1.11 |
| Mar 28, 2026 | 1.55 |
| Dec 27, 2025 | 0.43 |
| Sep 27, 2025 | 0.48 |
| Jun 28, 2025 | 0.75 |
| Mar 29, 2025 | 1.45 |
| Dec 28, 2024 | 0.03 |
| Sep 28, 2024 | 0.10 |
| Jun 29, 2024 | 0.60 |
| Mar 30, 2024 | 1.04 |
| Dec 30, 2023 | 0.06 |
| Sep 30, 2023 | -0.07 |
| Dec 31, 2022 | 0.34 |
| Oct 1, 2022 | 0.67 |
| Jan 1, 2022 | 0.84 |
| Oct 2, 2021 | 0.73 |
| Jul 3, 2021 | 3.87 |
| Apr 3, 2021 | 1.32 |
| Jan 2, 2021 | 0.42 |
| Oct 3, 2020 | 0.23 |
Flanigans Enterprises EPS (Diluted) 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=eps-diluted&ticker=BDL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=BDL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();