BT Brands (BTBD) Non-Current Assets (2018 - 2026)
BT Brands (BTBD) posted Non-Current Assets of $1.67 million for Q2 2026, down 70.5% from $5.66 million a year earlier and down 2.9% from the prior quarter.
Powered by 
Analysis
BT Brands (BTBD) Non-Current Assets (2018 - 2026) Analysis & Trends
At the end of FY2025, BT Brands' Non-Current Assets came in at $1.65 million, down 23.4% from FY2024.
- Annual Non-Current Assets shows a four-year compound annual growth rate of -9.1% (FY2021 to FY2025).
- In prior years, BT Brands' Non-Current Assets was $2.15 million in FY2024, $1.75 million in FY2022 (-27.7%) and $2.42 million in FY2021.
- Quarterly Non-Current Assets has run from a low of $1.65 million in Q4 2025 to a high of $8.12 million in Q2 2024 over five years.
- On a year-over-year basis, Non-Current Assets has declined in each of the last five quarters, with an average decline of 37.4% over the last six quarters.
- The strongest year-over-year quarter for Non-Current Assets in the past five years was Q3 2022, with growth of 314.1%; the weakest was Q1 2026, with a decline of 73.7%.
- According to Business Quant data, Non-Current Assets for the three prior quarters was $1.72 million (Q1 2026), $1.65 million (Q4 2025) and $5.31 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 165.62 Bn | 160.44 Bn | 6.42 Bn | 55.58 Bn |
| 2 | Starbucks | 108.79 Bn | 96.42 Bn | - | 20.76 Bn |
| 3 | Chipotle Mexican Grill | 40.35 Bn | 36.33 Bn | - | 7.92 Bn |
| 4 | Yum Brands | 37.59 Bn | 34.48 Bn | 1.47 Bn | 6.14 Bn |
| 5 | Restaurant Brands International | 24.96 Bn | 22.07 Bn | 1.38 Bn | 22.68 Bn |
| 6 | Darden Restaurants | 22.28 Bn | 21.39 Bn | -113.70 Mn | 11.92 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 22.68 Bn |
| 8 | Yum China Holdings | 14.08 Bn | 8.44 Bn | 537.00 Mn | 8.52 Bn |
| 9 | Texas Roadhouse | 10.31 Bn | 9.67 Bn | - | 3.31 Bn |
| 10 | BT Brands | 11.26 Mn | -6.00 Mn | - | 1.67 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 1.67 Mn |
| Mar 29, 2026 | 1.72 Mn |
| Dec 28, 2025 | 1.65 Mn |
| Sep 28, 2025 | 5.31 Mn |
| Jun 29, 2025 | 5.66 Mn |
| Mar 30, 2025 | 6.55 Mn |
| Dec 29, 2024 | 2.15 Mn |
| Sep 29, 2024 | 7.95 Mn |
| Jun 30, 2024 | 8.12 Mn |
| Oct 1, 2023 | 7.45 Mn |
| Jul 2, 2023 | 7.67 Mn |
| Apr 2, 2023 | 7.77 Mn |
| Dec 25, 2022 | 1.75 Mn |
| Oct 2, 2022 | 7.85 Mn |
| Jul 3, 2022 | 6.87 Mn |
| Apr 3, 2022 | 3.92 Mn |
| Jan 2, 2022 | 1.94 Mn |
| Oct 3, 2021 | 1.89 Mn |
| Jul 4, 2021 | 1.94 Mn |
| Apr 4, 2021 | 1.97 Mn |
API Access
BT Brands Non-Current Assets 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=non-current-assets&ticker=BTBD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=BTBD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();