BT Brands (BTBD) Selling, General & Administrative (2019 - 2026)
BT Brands' Selling, General & Administrative came in at $333,675 for Q2 2026, down 37.2% from $531,057 a year earlier and down 4.4% from the prior quarter.
BT Brands (BTBD) Selling, General & Administrative (2019 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 28, 2026, BT Brands reported Selling, General & Administrative of $1.16 million, down 34.0% year-over-year; for FY2025, it came in at $1.46 million, down 13.4% from FY2024.
- Selling, General & Administrative carries a four-year compound annual growth rate of 20.8% (FY2021 to FY2025).
- Going back by year, Selling, General & Administrative was $1.69 million in FY2024 (+2.5%), $1.65 million in FY2023 and $687,524 in FY2021.
- The five-year range for quarterly Selling, General & Administrative is $74,415 (Q3 2021) to $531,057 (Q2 2025).
- Year-over-year, Selling, General & Administrative has declined for four consecutive quarters, with an average decline of 14.2% over the last seven quarters.
- The fastest year-over-year change in Selling, General & Administrative over five years came in Q2 2022 (growth of 310.6%), and the weakest in Q3 2025 (a decline of 52.5%).
- Business Quant data shows BTBD's Selling, General & Administrative at $348,901 (Q1 2026), $303,541 (Q4 2025) and $178,389 (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 199.07 Bn | 195.11 Bn | 6.47 Bn | 759.00 Mn |
| 2 | Starbucks | 125.34 Bn | 125.35 Bn | - | 517.30 Mn |
| 3 | Chipotle Mexican Grill | 45.50 Bn | 42.00 Bn | - | 185.23 Mn |
| 4 | Yum Brands | 42.97 Bn | 38.79 Bn | 1.38 Bn | 305.00 Mn |
| 5 | Restaurant Brands International | 27.07 Bn | 24.44 Bn | 1.40 Bn | 183.00 Mn |
| 6 | Darden Restaurants | 25.87 Bn | 24.97 Bn | 1.68 Bn | 134.80 Mn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 183.00 Mn |
| 8 | Yum China Holdings | 16.86 Bn | 11.73 Bn | 652.00 Mn | 155.00 Mn |
| 9 | Texas Roadhouse | 12.35 Bn | 11.68 Bn | 1.02 Bn | 59.28 Mn |
| 10 | BT Brands | 9.65 Mn | -7.60 Mn | - | 333,675.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 333,675.00 |
| Mar 29, 2026 | 348,901.00 |
| Dec 28, 2025 | 303,541.00 |
| Sep 28, 2025 | 178,389.00 |
| Jun 29, 2025 | 531,057.00 |
| Mar 30, 2025 | 451,034.00 |
| Dec 29, 2024 | 406,533.00 |
| Sep 29, 2024 | 375,451.00 |
| Jun 30, 2024 | 454,805.00 |
| Mar 31, 2024 | 454,615.00 |
| Oct 1, 2023 | 343,027.00 |
| Jul 2, 2023 | 519,077.00 |
| Apr 2, 2023 | 425,915.00 |
| Jan 1, 2023 | 598,190.00 |
| Oct 2, 2022 | 288,921.00 |
| Jul 3, 2022 | 455,656.00 |
| Apr 3, 2022 | 291,062.00 |
| Oct 3, 2021 | 74,415.00 |
| Jul 4, 2021 | 110,983.00 |
| Apr 4, 2021 | 105,338.00 |
BT Brands Selling, General & Administrative 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=selling-general-and-administrative&ticker=BTBD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=BTBD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();