BT Brands (BTBD) Revenue (2019 - 2026)
BT Brands (BTBD) posted Revenue of $3.55 million for Q2 2026, down 6.1% from $3.78 million a year earlier but up 24.9% from the prior quarter.
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Analysis
BT Brands (BTBD) Revenue (2019 - 2026) Analysis & Trends
For the trailing twelve months through Jun 28, 2026, Revenue at BT Brands was $12.87 million, down 11.4% year-over-year; for FY2025, it was $13.49 million, down 9.0% from FY2024.
- Annual Revenue shows a four-year compound annual growth rate of 15.2% (FY2021 to FY2025).
- In prior years, BT Brands' Revenue was $14.82 million in FY2024 (+5.3%), $14.08 million in FY2023 (+76.4%), $7.98 million in FY2022 (+4.4%) and $7.64 million in FY2021.
- Quarterly Revenue has run from a low of -$1.64 million in Q4 2022 to a high of $4.35 million in Q3 2024 over five years.
- On a year-over-year basis, Revenue has declined in each of the last five quarters, with an average decline of 5.8% over the last seven quarters.
- The strongest year-over-year quarter for Revenue in the past five years was Q3 2022, with growth of 76.4%; the weakest was Q4 2025, with a decline of 17.4%.
- According to Business Quant data, Revenue for the three prior quarters was $2.84 million (Q1 2026), $2.62 million (Q4 2025) and $3.85 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 174.50 Bn | 169.32 Bn | 6.42 Bn | 7.10 Bn |
| 2 | Starbucks | 113.12 Bn | 100.74 Bn | - | 9.32 Bn |
| 3 | Yum Brands | 41.68 Bn | 38.56 Bn | 1.47 Bn | 2.17 Bn |
| 4 | Chipotle Mexican Grill | 37.78 Bn | 33.76 Bn | - | 3.35 Bn |
| 5 | Restaurant Brands International | 26.16 Bn | 21.71 Bn | 1.38 Bn | 2.52 Bn |
| 6 | Darden Restaurants | 24.73 Bn | 23.83 Bn | 1.68 Bn | 3.20 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 2.52 Bn |
| 8 | Yum China Holdings | 15.70 Bn | 9.35 Bn | 537.00 Mn | 3.14 Bn |
| 9 | Texas Roadhouse | 11.11 Bn | 10.45 Bn | - | 1.68 Bn |
| 10 | BT Brands | 10.88 Mn | -6.37 Mn | - | 3.55 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 3.55 Mn |
| Mar 29, 2026 | 2.84 Mn |
| Dec 28, 2025 | 2.62 Mn |
| Sep 28, 2025 | 3.85 Mn |
| Jun 29, 2025 | 3.78 Mn |
| Mar 30, 2025 | 3.23 Mn |
| Dec 29, 2024 | 3.17 Mn |
| Sep 29, 2024 | 4.35 Mn |
| Jun 30, 2024 | 4.11 Mn |
| Mar 31, 2024 | 3.19 Mn |
| Oct 1, 2023 | 4.01 Mn |
| Jul 2, 2023 | 4.00 Mn |
| Apr 2, 2023 | 3.07 Mn |
| Oct 2, 2022 | 4.02 Mn |
| Jul 3, 2022 | 3.52 Mn |
| Apr 3, 2022 | 2.07 Mn |
| Oct 3, 2021 | 2.28 Mn |
| Jul 4, 2021 | 2.38 Mn |
| Apr 4, 2021 | 1.94 Mn |
| Sep 27, 2020 | 2.37 Mn |
API Access
BT Brands Revenue 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=revenue&ticker=BTBD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=BTBD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();