BT Brands (BTBD) EPS (Diluted) (2024 - 2026)
BT Brands (BTBD) posted EPS (Diluted) of $0.09 for Q2 2026, up 947.5% from $0.01 a year earlier.
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Analysis
BT Brands (BTBD) EPS (Diluted) (2024 - 2026) Analysis & Trends
For the trailing twelve months through Jun 28, 2026, EPS (Diluted) at BT Brands was -$0.10; for FY2025, it was -$0.11.
- In prior years, BT Brands' EPS (Diluted) was -$0.37 in FY2024.
- Quarterly EPS (Diluted) has run from a low of -$0.25 in Q4 2024 to a high of $0.15 in Q3 2025 over five years.
- According to Business Quant data, EPS (Diluted) for the three prior quarters was -$0.12 (Q1 2026), -$0.22 (Q4 2025) and $0.15 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 173.53 Bn | 168.36 Bn | 6.42 Bn | 3.32 |
| 2 | Starbucks | 112.49 Bn | 100.11 Bn | - | 0.91 |
| 3 | Yum Brands | 41.47 Bn | 38.36 Bn | 1.47 Bn | 3.08 |
| 4 | Chipotle Mexican Grill | 36.82 Bn | 32.80 Bn | - | 0.32 |
| 5 | Restaurant Brands International | 26.09 Bn | 21.64 Bn | 1.38 Bn | 1.10 |
| 6 | Darden Restaurants | 24.72 Bn | 23.81 Bn | 1.68 Bn | 2.04 |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 1.98 |
| 8 | Yum China Holdings | 15.48 Bn | 9.13 Bn | 537.00 Mn | 0.70 |
| 9 | Texas Roadhouse | 11.03 Bn | 10.37 Bn | - | 1.85 |
| 10 | BT Brands | 10.51 Mn | -6.74 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 |
API Access
BT Brands 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=BTBD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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-diluted&ticker=BTBD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();