BT Brands (BTBD) Enterprise Value (2022 - 2026)
BT Brands (BTBD) posted Enterprise Value of $2.07 million for Q2 2026, down 55.6% from $4.66 million a year earlier and down 68.5% from the prior quarter.
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Analysis
BT Brands (BTBD) Enterprise Value (2022 - 2026) Analysis & Trends
For the trailing twelve months through Jun 28, 2026, Enterprise Value at BT Brands was -$10.76 million; for FY2025, it came in at $4.42 million, down 19.8% from FY2024.
- Annual Enterprise Value shows a four-year compound annual growth rate of -27.0% (FY2021 to FY2025).
- In prior years, BT Brands' Enterprise Value was $5.52 million in FY2024 (-46.7%), $10.35 million in FY2023 (+49.6%), $6.92 million in FY2022 (-55.5%) and $15.54 million in FY2021.
- The Q2 2026 figure stands as the lowest quarterly Enterprise Value in data going back to Q1 2022.
- On a year-over-year basis, Enterprise Value increased in three of the last eight quarters, with an average decline of 10.5%.
- The strongest year-over-year quarter for Enterprise Value in the past five years was Q1 2023, with growth of 108.9%; the weakest was Q2 2026, with a decline of 55.6%.
- According to Business Quant data, Enterprise Value for the three prior quarters was $6.57 million (Q1 2026), $4.42 million (Q4 2025) and $6.83 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 165.62 Bn | 160.44 Bn | 6.42 Bn |
| 2 | Starbucks | 108.79 Bn | 96.42 Bn | - |
| 3 | Chipotle Mexican Grill | 40.35 Bn | 36.33 Bn | - |
| 4 | Yum Brands | 37.59 Bn | 34.48 Bn | 1.47 Bn |
| 5 | Restaurant Brands International | 24.96 Bn | 22.07 Bn | 1.38 Bn |
| 6 | Darden Restaurants | 22.28 Bn | 21.39 Bn | -113.70 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn |
| 8 | Yum China Holdings | 14.08 Bn | 8.44 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 10.31 Bn | 9.67 Bn | - |
| 10 | BT Brands | 11.26 Mn | -6.00 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 2.07 Mn |
| Mar 29, 2026 | 6.57 Mn |
| Dec 28, 2025 | 4.42 Mn |
| Sep 28, 2025 | 6.83 Mn |
| Jun 29, 2025 | 4.66 Mn |
| Mar 30, 2025 | 4.37 Mn |
| Dec 29, 2024 | 5.52 Mn |
| Sep 29, 2024 | 5.25 Mn |
| Jun 30, 2024 | 4.62 Mn |
| Mar 30, 2024 | 5.66 Mn |
| Dec 29, 2023 | 10.35 Mn |
| Oct 1, 2023 | 6.58 Mn |
| Jul 2, 2023 | 8.36 Mn |
| Apr 2, 2023 | 11.55 Mn |
| Dec 25, 2022 | 11.05 Mn |
| Oct 2, 2022 | 6.40 Mn |
| Jul 3, 2022 | 8.76 Mn |
| Apr 3, 2022 | 5.53 Mn |
| Jan 2, 2022 | 543,769.81 |
API Access
BT Brands Enterprise Value 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=enterprise-value&ticker=BTBD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=BTBD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();