Scynexis (SCYX) Return on Sales [ROS] (2013 - 2026)
Scynexis' Return on Sales [ROS] came in at -3308.51% for Q2 2026, down 2607.56 percentage points from -700.95% a year earlier and down 3188.65 percentage points from the prior quarter.
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Analysis
Scynexis (SCYX) Return on Sales [ROS] (2013 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Scynexis reported Return on Sales [ROS] of -117.61%, up 1004.06 percentage points year-over-year; for FY2025, it came in at -78.03%, up 912.82 percentage points from FY2024.
- Return on Sales [ROS] carries a four-year change of +384.16 percentage points (FY2021 to FY2025).
- Going back by year, Return on Sales [ROS] was -990.84% in FY2024 (-1042.70 pp), 51.85% in FY2023 (+1736.34 pp), -1684.48% in FY2022 (-1222.29 pp) and -462.19% in FY2021.
- The Q2 2026 figure represents the lowest quarterly Return on Sales [ROS] since Q1 2025.
- Year-over-year, Return on Sales [ROS] increased in three of the last eight quarters, with an average year-over-year change of -371.20 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q1 2026 (a gain of 3230.34 percentage points), and the weakest in Q1 2022 (a drop of 2806.49 percentage points).
- Business Quant data shows SCYX's Return on Sales [ROS] at -119.86% (Q1 2026), 56.42% (Q4 2025) and -2516.47% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
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 | Scynexis | 50.94 Mn | -20.16 Mn | - | -3,308.51% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -3,308.51% |
| Mar 31, 2026 | -119.86% |
| Dec 31, 2025 | 56.42% |
| Sep 30, 2025 | -2,516.47% |
| Jun 30, 2025 | -700.95% |
| Mar 31, 2025 | -3,350.19% |
| Dec 31, 2024 | -824.26% |
| Sep 30, 2024 | -1,563.64% |
| Jun 30, 2024 | -1,255.03% |
| Mar 31, 2024 | -692.50% |
| Dec 31, 2023 | -397.88% |
| Sep 30, 2023 | -573.42% |
| Jun 30, 2023 | 88.63% |
| Mar 31, 2023 | -945.31% |
| Dec 31, 2022 | -1,475.13% |
| Sep 30, 2022 | -1,400.19% |
| Jun 30, 2022 | -1,643.08% |
| Mar 31, 2022 | -2,819.71% |
| Dec 31, 2021 | -3,734.84% |
| Sep 30, 2021 | -3,767.64% |
API Access
Scynexis 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=SCYX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "SCYX", "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=SCYX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();