BT Brands (BTBD) Operating Expenses (2019 - 2026)
BT Brands (BTBD) recorded Operating Expenses of $3.43 million in Q2 2026, down 10.9% from $3.85 million a year earlier but up 11.6% from the prior quarter.
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Analysis
BT Brands (BTBD) Operating Expenses (2019 - 2026) Analysis & Trends
On a TTM basis, BT Brands' Operating Expenses came in at $12.98 million as of Jun 28, 2026, down 18.4% year-over-year; for FY2025, it was $13.85 million, down 16.8% from FY2024.
- Across earlier years, Operating Expenses came in at $16.66 million in FY2024 (+9.9%), $15.15 million in FY2023, -$8.87 million in FY2022 and -$6.31 million in FY2021.
- Quarterly Operating Expenses has ranged from -$18.4 million in Q4 2022 to $4.42 million in Q3 2024 over the past five years.
- On a year-over-year basis, Operating Expenses has declined for five consecutive quarters, with an average decline of 8.8% over the last seven quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 108.9% in Q3 2022, against a decline of 96.0% in Q1 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $3.08 million (Q1 2026), $3.35 million (Q4 2025) and $3.12 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 174.68 Bn | 169.50 Bn | 6.42 Bn | 3.76 Bn |
| 2 | Starbucks | 112.72 Bn | 100.34 Bn | - | 8.42 Bn |
| 3 | Yum Brands | 41.42 Bn | 38.30 Bn | 1.47 Bn | 1.51 Bn |
| 4 | Chipotle Mexican Grill | 36.07 Bn | 32.05 Bn | - | 2.82 Bn |
| 5 | Restaurant Brands International | 26.00 Bn | 21.56 Bn | 1.38 Bn | 1.80 Bn |
| 6 | Darden Restaurants | 24.42 Bn | 23.51 Bn | 1.68 Bn | 2.88 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 1.80 Bn |
| 8 | Yum China Holdings | 15.44 Bn | 9.10 Bn | 537.00 Mn | 2.79 Bn |
| 9 | Texas Roadhouse | 10.97 Bn | 10.31 Bn | - | 1.54 Bn |
| 10 | BT Brands | 10.60 Mn | -6.65 Mn | - | 3.43 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 3.43 Mn |
| Mar 29, 2026 | 3.08 Mn |
| Dec 28, 2025 | 3.35 Mn |
| Sep 28, 2025 | 3.12 Mn |
| Jun 29, 2025 | 3.85 Mn |
| Mar 30, 2025 | 3.52 Mn |
| Dec 29, 2024 | 4.11 Mn |
| Sep 29, 2024 | 4.42 Mn |
| Jun 30, 2024 | 4.30 Mn |
| Mar 31, 2024 | 3.82 Mn |
| Dec 31, 2023 | 123,360.00 |
| Oct 1, 2023 | 3.97 Mn |
| Jul 2, 2023 | 4.08 Mn |
| Apr 2, 2023 | 3.32 Mn |
| Jan 1, 2023 | 1.05 Mn |
| Oct 2, 2022 | 4.01 Mn |
| Jul 3, 2022 | 3.53 Mn |
| Apr 3, 2022 | 1.98 Mn |
| Oct 3, 2021 | 1.92 Mn |
| Jul 4, 2021 | 2.00 Mn |
API Access
BT Brands Operating Expenses 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=operating-expenses&ticker=BTBD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=BTBD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();