BT Brands (BTBD) Depreciation & Amortization - Total (2019 - 2026)
BT Brands (BTBD) recorded Depreciation & Amortization - Total of $137,508 in Q2 2026, up 0.5% from $136,770 a year earlier and unchanged from the prior quarter.
BT Brands (BTBD) Depreciation & Amortization - Total (2019 - 2026) Analysis & Trends
On a TTM basis, BT Brands' Depreciation & Amortization - Total came in at $595,005 as of Jun 28, 2026, down 9.7% year-over-year; for FY2025, it was $585,047, down 10.4% from FY2024.
- Annual Depreciation & Amortization - Total has a four-year compound annual growth rate of 81.2% (FY2021 to FY2025).
- Across earlier years, Depreciation & Amortization - Total came in at $652,967 in FY2024 and $54,269 in FY2021.
- Quarterly Depreciation & Amortization - Total has ranged from $68,902 in Q1 2022 to $263,484 in Q4 2024 over the past five years.
- On a year-over-year basis, Depreciation & Amortization - Total rose in six of the last seven quarters, with growth averaging 1.0%.
- Peak year-over-year performance for Depreciation & Amortization - Total in the last five years was growth of 115.3% in Q1 2023, against a decline of 31.2% in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $137,479 (Q1 2026), $181,379 (Q4 2025) and $138,639 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Tot) (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 163.51 Bn | 158.34 Bn | 6.42 Bn | - |
| 2 | Starbucks | 107.11 Bn | 94.75 Bn | - | 361.60 Mn |
| 3 | Chipotle Mexican Grill | 40.42 Bn | 36.40 Bn | - | - |
| 4 | Yum Brands | 37.23 Bn | 34.12 Bn | 1.47 Bn | - |
| 5 | Restaurant Brands International | 24.82 Bn | 21.92 Bn | 1.38 Bn | - |
| 6 | Darden Restaurants | 22.06 Bn | 21.17 Bn | -113.70 Mn | - |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | - |
| 8 | Yum China Holdings | 14.18 Bn | 8.54 Bn | 537.00 Mn | - |
| 9 | Texas Roadhouse | 10.25 Bn | 9.62 Bn | - | - |
| 10 | BT Brands | 11.26 Mn | -6.00 Mn | - | 137,508.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 137,508.00 |
| Mar 29, 2026 | 137,479.00 |
| Dec 28, 2025 | 181,379.00 |
| Sep 28, 2025 | 138,639.00 |
| Jun 29, 2025 | 136,770.00 |
| Mar 30, 2025 | 136,770.00 |
| Dec 29, 2024 | 263,484.00 |
| Sep 29, 2024 | 121,902.00 |
| Jun 30, 2024 | 133,951.00 |
| Mar 30, 2024 | 133,975.00 |
| Oct 1, 2023 | 102,553.00 |
| Jul 2, 2023 | 192,520.00 |
| Apr 2, 2023 | 148,364.00 |
| Jul 3, 2022 | 109,286.00 |
| Apr 3, 2022 | 68,902.00 |
| Jan 3, 2021 | -117,992.00 |
| Jun 28, 2020 | 45,675.00 |
| Mar 29, 2020 | 44,395.00 |
| Dec 29, 2019 | 43,845.00 |
| Jun 28, 2019 | 58,911.00 |
BT Brands Depreciation & Amortization - Total 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=depreciation-and-amortization-total&ticker=BTBD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-total", "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=depreciation-and-amortization-total&ticker=BTBD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();