Reborn Coffee (REBN) Return on Sales [ROS] (2021 - 2026)
Reborn Coffee's Return on Sales [ROS] was -24.93% in Q2 2026, up 215.30 percentage points from -240.23% a year earlier.
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Analysis
Reborn Coffee (REBN) Return on Sales [ROS] (2021 - 2026) Analysis & Trends
On a trailing twelve-month basis, Reborn Coffee's Return on Sales [ROS] was -44.58% through Jun 30, 2026, up 85.24 percentage points year-over-year; for FY2025, it came in at -71.58%, up 6.34 percentage points from FY2024.
- Return on Sales [ROS] has now increased for four consecutive years, with a four-year change of +40.86 percentage points (FY2021 to FY2025).
- In earlier years, Return on Sales [ROS] was -77.92% in FY2024 (+4.55 pp), -82.47% in FY2023 (+26.78 pp), -109.26% in FY2022 (+3.18 pp) and -112.44% in FY2021.
- Quarterly Return on Sales [ROS] has moved between -240.23% (Q2 2025) and 104.65% (Q4 2025) over five years.
- Compared with a year earlier, Return on Sales [ROS] was higher in three of the last seven quarters, with an average year-over-year change of +11.45 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q2 2026 (a gain of 215.30 percentage points); the worst was Q3 2025 (a drop of 167.11 percentage points).
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 | Reborn Coffee | 18.79 Mn | 16.13 Mn | 1.69 Mn | -24.93% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -24.93% |
| Dec 31, 2025 | 104.65% |
| Sep 30, 2025 | -224.67% |
| Jun 30, 2025 | -240.23% |
| Mar 31, 2025 | -100.24% |
| Dec 31, 2024 | -95.22% |
| Sep 30, 2024 | -57.56% |
| Jun 30, 2024 | -97.43% |
| Mar 31, 2024 | -56.89% |
| Dec 31, 2023 | -122.63% |
| Sep 30, 2023 | -48.39% |
| Jun 30, 2023 | -78.96% |
| Mar 31, 2023 | -84.82% |
| Dec 31, 2022 | -132.60% |
| Sep 30, 2022 | -106.85% |
| Jun 30, 2022 | -117.75% |
| Mar 31, 2022 | -76.39% |
| Dec 31, 2021 | -121.66% |
| Sep 30, 2021 | -155.26% |
| Jun 30, 2021 | -62.56% |
API Access
Reborn Coffee 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=REBN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "REBN", "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=REBN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();