Synlogic (SYBX) Return on Sales [ROS] (2016 - 2024)
Synlogic's Return on Sales [ROS] came in at -511875.00% for Q4 2024, down 511490.71 percentage points from -384.29% a year earlier and down 510081.16 percentage points from the prior quarter.
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Analysis
Synlogic (SYBX) Return on Sales [ROS] (2016 - 2024) Analysis & Trends
Going back to Q1 2016, Synlogic's Return on Sales [ROS] data covers 36 quarters.
- Return on Sales [ROS] carries a five-year change of -509428.55 percentage points (FY2019 to FY2024).
- Going back by year, Return on Sales [ROS] was -1636.34% in FY2023 (+4077.14 pp), -5713.47% in FY2022 (-2249.11 pp), -3464.37% in FY2021 (+7630.31 pp) and -11094.68% in FY2020 (-8648.23 pp).
- The Q4 2024 figure represents the lowest quarterly Return on Sales [ROS] in data going back to Q1 2016.
- Year-over-year, Return on Sales [ROS] increased in three of the last eight quarters, with an average year-over-year change of -120643.89 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q2 2024 (a gain of 42779.66 percentage points), and the weakest in Q4 2024 (a drop of 511490.71 percentage points).
- Business Quant data shows SYBX's Return on Sales [ROS] at -1793.84% (Q3 2024), -1946.06% (Q2 2024) and -485562.50% (Q1 2024) in the three quarters before Q4 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,144.36 Bn | 1,112.95 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 635.36 Bn | 555.22 Bn | 17.30 Bn | 24.35% |
| 3 | AbbVie | 502.79 Bn | 475.90 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 356.08 Bn | 310.46 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 300.87 Bn | 264.86 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 264.31 Bn | 237.99 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 239.07 Bn | 194.47 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 194.50 Bn | 168.70 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 171.00 Bn | 117.64 Bn | 10.94 Bn | 28.37% |
| 10 | Synlogic | 13.04 Mn | -47.43 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | -511,875.00% |
| Sep 30, 2024 | -1,793.84% |
| Jun 30, 2024 | -1,946.06% |
| Mar 31, 2024 | -485,562.50% |
| Dec 31, 2023 | -384.29% |
| Sep 30, 2023 | -3,211.96% |
| Jun 30, 2023 | -44,725.71% |
| Mar 31, 2023 | -9,335.06% |
| Dec 31, 2022 | -16,323.58% |
| Sep 30, 2022 | -2,704.13% |
| Jun 30, 2022 | -10,537.50% |
| Mar 31, 2022 | -6,461.07% |
| Dec 31, 2021 | -2,558.28% |
| Sep 30, 2021 | -1,752.73% |
| Jun 30, 2021 | -5,908.13% |
| Mar 31, 2021 | -13,280.67% |
| Dec 31, 2020 | -11,094.68% |
| Sep 30, 2020 | -3,336.20% |
| Jun 30, 2020 | -3,581.35% |
| Mar 31, 2020 | -16,398.00% |
API Access
Synlogic 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=SYBX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "SYBX", "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=SYBX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();