BT Brands (BTBD) Property, Plant & Equipment (Net) (2018 - 2026)
BT Brands (BTBD) recorded Property, Plant & Equipment (Net) of $2.27 million in Q2 2026, down 16.6% from $2.73 million a year earlier and down 3.6% from the prior quarter.
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Analysis
BT Brands (BTBD) Property, Plant & Equipment (Net) (2018 - 2026) Analysis & Trends
At the end of FY2025, BT Brands reported Property, Plant & Equipment (Net) of $2.46 million, down 26.5% from FY2024.
- Annual Property, Plant & Equipment (Net) has a four-year compound annual growth rate of 10.8% (FY2021 to FY2025).
- Across earlier years, Property, Plant & Equipment (Net) came in at $3.34 million in FY2024 and $1.63 million in FY2021.
- The Q2 2026 figure is the lowest quarterly Property, Plant & Equipment (Net) since Q3 2021.
- On a year-over-year basis, Property, Plant & Equipment (Net) has declined for five consecutive quarters, with an average decline of 18.9% over the last six quarters.
- Peak year-over-year performance for Property, Plant & Equipment (Net) in the last five years was growth of 129.1% in Q3 2022, against a decline of 28.7% in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $2.36 million (Q1 2026), $2.46 million (Q4 2025) and $2.64 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 164.13 Bn | 158.95 Bn | 6.42 Bn | 28.48 Bn |
| 2 | Starbucks | 107.97 Bn | 95.60 Bn | - | 6.99 Bn |
| 3 | Chipotle Mexican Grill | 41.04 Bn | 37.02 Bn | - | 2.87 Bn |
| 4 | Yum Brands | 37.16 Bn | 34.04 Bn | 1.47 Bn | 1.61 Bn |
| 5 | Restaurant Brands International | 24.42 Bn | 21.52 Bn | 1.38 Bn | 2.23 Bn |
| 6 | Darden Restaurants | 22.67 Bn | 21.77 Bn | 1.68 Bn | 5.12 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 2.23 Bn |
| 8 | Yum China Holdings | 13.79 Bn | 8.16 Bn | 537.00 Mn | 2.62 Bn |
| 9 | Texas Roadhouse | 10.24 Bn | 9.60 Bn | - | 1.89 Bn |
| 10 | BT Brands | 11.57 Mn | -5.69 Mn | - | 2.27 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 2.27 Mn |
| Mar 29, 2026 | 2.36 Mn |
| Dec 28, 2025 | 2.46 Mn |
| Sep 28, 2025 | 2.64 Mn |
| Jun 29, 2025 | 2.73 Mn |
| Mar 30, 2025 | 3.28 Mn |
| Dec 29, 2024 | 3.34 Mn |
| Sep 29, 2024 | 3.70 Mn |
| Jun 30, 2024 | 3.77 Mn |
| Oct 1, 2023 | 3.24 Mn |
| Jul 2, 2023 | 3.28 Mn |
| Apr 2, 2023 | 3.26 Mn |
| Oct 2, 2022 | 3.54 Mn |
| Apr 3, 2022 | 2.41 Mn |
| Jan 2, 2022 | 1.59 Mn |
| Oct 3, 2021 | 1.55 Mn |
| Jul 4, 2021 | 1.59 Mn |
| Apr 4, 2021 | 1.62 Mn |
| Jan 3, 2021 | 1.63 Mn |
| Sep 27, 2020 | 1.60 Mn |
API Access
BT Brands Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=BTBD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=BTBD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();