BT Brands (BTBD) EPS (Basic) (2019 - 2026)
BT Brands' EPS (Basic) came in at $0.09 for Q2 2026, up 944.2% from $0.01 a year earlier.
Analysis
BT Brands (BTBD) EPS (Basic) (2019 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 28, 2026, BT Brands reported EPS (Basic) of -$0.10; for FY2025, it was -$0.11.
- Going back by year, EPS (Basic) was -$0.37 in FY2024, -$0.14 in FY2023, -$0.14 in FY2022 and $0.33 in FY2021.
- The five-year range for quarterly EPS (Basic) is -$0.25 (Q4 2024) to $0.15 (Q3 2025).
- Business Quant data shows BTBD's EPS (Basic) at -$0.12 (Q1 2026), -$0.22 (Q4 2025) and $0.15 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Basic) (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 165.62 Bn | 160.44 Bn | 6.42 Bn | 3.33 |
| 2 | Starbucks | 108.79 Bn | 96.42 Bn | - | 0.92 |
| 3 | Chipotle Mexican Grill | 40.35 Bn | 36.33 Bn | - | 0.32 |
| 4 | Yum Brands | 37.59 Bn | 34.48 Bn | 1.47 Bn | 3.10 |
| 5 | Restaurant Brands International | 24.96 Bn | 22.07 Bn | 1.38 Bn | 1.46 |
| 6 | Darden Restaurants | 22.28 Bn | 21.39 Bn | -113.70 Mn | 3.51 |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 2.92 |
| 8 | Yum China Holdings | 14.08 Bn | 8.44 Bn | 537.00 Mn | 0.70 |
| 9 | Texas Roadhouse | 10.31 Bn | 9.67 Bn | - | 1.86 |
| 10 | BT Brands | 11.26 Mn | -6.00 Mn | - | 0.09 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 0.09 |
| Mar 29, 2026 | -0.12 |
| Dec 28, 2025 | -0.22 |
| Sep 28, 2025 | 0.15 |
| Jun 29, 2025 | 0.01 |
| Mar 30, 2025 | -0.05 |
| Dec 29, 2024 | -0.25 |
| Sep 29, 2024 | -0.04 |
| Jun 30, 2024 | -0.01 |
| Dec 29, 2023 | -0.08 |
| Oct 1, 2023 | 0.00 |
| Jul 2, 2023 | -0.04 |
| Apr 2, 2023 | -0.02 |
| Dec 25, 2022 | -0.10 |
| Oct 2, 2022 | -0.03 |
| Jul 3, 2022 | -0.01 |
| Apr 3, 2022 | 0.01 |
| Jan 2, 2022 | 0.01 |
| Oct 3, 2021 | 0.06 |
| Jul 4, 2021 | 0.05 |
API Access
BT Brands EPS (Basic) 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-basic&ticker=BTBD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-basic", "ticker": "BTBD", "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-basic&ticker=BTBD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();