Assembly Biosciences (ASMB) Return on Sales [ROS] (2017 - 2026)
Assembly Biosciences' Return on Sales [ROS] came in at -47.44% for Q2 2026, up 67.80 percentage points from -115.24% a year earlier and up 91.00 percentage points from the prior quarter.
Assembly Biosciences (ASMB) Return on Sales [ROS] (2017 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Assembly Biosciences reported Return on Sales [ROS] of -11.75%, up 119.15 percentage points year-over-year; for FY2025, it came in at -16.76%, up 142.50 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of +65.13 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was -159.26% in FY2024 (+743.24 pp), -902.50% in FY2023 and -2121.65% in FY2021 (-2039.76 pp).
- The five-year range for quarterly Return on Sales [ROS] is -2121.65% (Q4 2021) to 46.62% (Q4 2025).
- Year-over-year, Return on Sales [ROS] increased in six of the last seven quarters, with an average year-over-year change of +60.52 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q4 2021 (a gain of 1701.11 percentage points), and the weakest in Q3 2021 (a drop of 290.19 percentage points).
- Business Quant data shows ASMB's Return on Sales [ROS] at -138.44% (Q1 2026), 46.62% (Q4 2025) and -100.87% (Q3 2025) in the three quarters before Q2 2026.
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 | Assembly Biosciences | 447.43 Mn | -580.20 Mn | - | -47.44% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -47.44% |
| Mar 31, 2026 | -138.44% |
| Dec 31, 2025 | 46.62% |
| Sep 30, 2025 | -100.87% |
| Jun 30, 2025 | -115.24% |
| Mar 31, 2025 | -105.54% |
| Dec 31, 2024 | -156.75% |
| Sep 30, 2024 | -160.06% |
| Jun 30, 2024 | -143.01% |
| Mar 31, 2024 | -185.46% |
| Dec 31, 2023 | -175.22% |
| Jun 30, 2023 | -1,333.96% |
| Mar 31, 2023 | -1,447.25% |
| Dec 31, 2021 | -2,121.65% |
| Sep 30, 2021 | -301.81% |
| Jun 30, 2021 | -265.33% |
| Mar 31, 2021 | -85.76% |
| Dec 31, 2020 | -3,822.76% |
| Sep 30, 2020 | -11.61% |
| Jun 30, 2020 | 16.71% |
Assembly Biosciences 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=ASMB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "ASMB", "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=ASMB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();