BT Brands (BTBD) Return on Sales [ROS] (2019 - 2026)
BT Brands (BTBD) recorded Return on Sales [ROS] of 3.30% in Q2 2026, up 5.29 percentage points from -1.99% a year earlier and up 11.49 percentage points from the prior quarter.
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Analysis
BT Brands (BTBD) Return on Sales [ROS] (2019 - 2026) Analysis & Trends
On a TTM basis, BT Brands' Return on Sales [ROS] came in at -0.88% as of Jun 28, 2026, up 8.62 percentage points year-over-year; for FY2025, it came in at -2.70%, up 9.66 percentage points from FY2024.
- Annual Return on Sales [ROS] has a four-year change of -9.19 percentage points (FY2021 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at -12.36% in FY2024 (-4.74 pp), -7.62% in FY2023 and 6.49% in FY2021.
- Quarterly Return on Sales [ROS] has ranged from -29.55% in Q4 2024 to 19.07% in Q3 2025 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] has increased for five consecutive quarters, with an average year-over-year change of +3.57 percentage points over the last seven quarters.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 20.80 percentage points in Q3 2025, against a drop of 16.37 percentage points in Q2 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at -8.19% (Q1 2026), -27.93% (Q4 2025) and 19.07% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 164.13 Bn | 158.95 Bn | 6.42 Bn | 47.02% |
| 2 | Starbucks | 107.97 Bn | 95.60 Bn | - | 10.52% |
| 3 | Chipotle Mexican Grill | 41.04 Bn | 37.02 Bn | - | 15.70% |
| 4 | Yum Brands | 37.16 Bn | 34.04 Bn | 1.47 Bn | 30.20% |
| 5 | Restaurant Brands International | 24.42 Bn | 21.52 Bn | 1.38 Bn | 28.41% |
| 6 | Darden Restaurants | 22.67 Bn | 21.77 Bn | 1.68 Bn | 9.98% |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 28.41% |
| 8 | Yum China Holdings | 13.79 Bn | 8.16 Bn | 537.00 Mn | 11.09% |
| 9 | Texas Roadhouse | 10.24 Bn | 9.60 Bn | - | 8.50% |
| 10 | BT Brands | 11.57 Mn | -5.69 Mn | - | 3.30% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 3.30% |
| Mar 29, 2026 | -8.19% |
| Dec 28, 2025 | -27.93% |
| Sep 28, 2025 | 19.07% |
| Jun 29, 2025 | -1.99% |
| Mar 30, 2025 | -9.04% |
| Dec 29, 2024 | -29.55% |
| Sep 29, 2024 | -1.72% |
| Jun 30, 2024 | -4.59% |
| Dec 29, 2023 | -26.11% |
| Oct 1, 2023 | 1.01% |
| Jul 2, 2023 | -1.99% |
| Apr 2, 2023 | -8.17% |
| Oct 2, 2022 | 0.22% |
| Jul 3, 2022 | -0.12% |
| Apr 3, 2022 | 4.29% |
| Oct 3, 2021 | 15.73% |
| Jul 4, 2021 | 16.25% |
| Apr 4, 2021 | 11.52% |
| Sep 27, 2020 | 14.99% |
API Access
BT Brands Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=BTBD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=BTBD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();