Upstream Bio (UPB) Return on Sales [ROS] (2023 - 2026)
Upstream Bio (UPB) posted Return on Sales [ROS] of -5480.98% for Q2 2026, down 748.11 percentage points from -4732.87% a year earlier and down 1262.90 percentage points from the prior quarter.
Upstream Bio (UPB) Return on Sales [ROS] (2023 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Upstream Bio was -5382.65%, down 918.05 percentage points year-over-year; for FY2025, it was -5618.82%, down 2337.63 percentage points from FY2024.
- In prior years, Upstream Bio's Return on Sales [ROS] was -3281.18% in FY2024 (-1595.72 pp) and -1685.46% in FY2023.
- Quarterly Return on Sales [ROS] has run from a low of -6911.23% in Q4 2025 to a high of -1511.43% in Q3 2023 over five years.
- On a year-over-year basis, Return on Sales [ROS] increased in 1 of the last eight quarters, with an average year-over-year change of -1458.60 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q1 2026, with a gain of 1437.92 percentage points; the weakest was Q1 2025, with a drop of 3310.23 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was -4218.09% (Q1 2026), -6911.23% (Q4 2025) and -5539.39% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 28.21% |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 28.37% |
| 10 | Upstream Bio | 276.05 Mn | 276.05 Mn | -3.29 Mn | -5,480.98% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -5,480.98% |
| Mar 31, 2026 | -4,218.09% |
| Dec 31, 2025 | -6,911.23% |
| Sep 30, 2025 | -5,539.39% |
| Jun 30, 2025 | -4,732.87% |
| Mar 31, 2025 | -5,656.01% |
| Dec 31, 2024 | -4,293.31% |
| Sep 30, 2024 | -3,112.52% |
| Jun 30, 2024 | -3,439.22% |
| Mar 31, 2024 | -2,345.78% |
| Dec 31, 2023 | -3,184.44% |
| Sep 30, 2023 | -1,511.43% |
Upstream Bio 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=UPB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "UPB", "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=UPB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();