Soligenix (SNGX) Return on Sales [ROS] (2010 - 2024)
Soligenix (SNGX) reported Return on Sales [ROS] of -7907.70% for Q4 2024, down 7034.43 percentage points from -873.27% a year earlier and down 5748.10 percentage points from the prior quarter.
Soligenix (SNGX) Return on Sales [ROS] (2010 - 2024) Analysis & Trends
Dating back to Q2 2010, Soligenix's Return on Sales [ROS] record includes 56 quarters.
- Return on Sales [ROS] has a five-year change of -7680.03 percentage points (FY2019 to FY2024).
- By year, Return on Sales [ROS] came in at -917.12% in FY2023 (+583.43 pp), -1500.55% in FY2022 (+88.61 pp), -1589.16% in FY2021 (-801.41 pp) and -787.75% in FY2020 (-560.08 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of -74495.09% in Q2 2024 and a high of -297.76% in Q3 2020.
- Year over year, Return on Sales [ROS] has now declined in each of the last four quarters, with an average year-over-year change of -9978.42 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was Q1 2023 (a gain of 1392.98 percentage points); the low point was Q2 2024 (a drop of 73707.22 percentage points).
- Per Business Quant data, the three quarters before Q4 2024 came in at -2159.59% (Q3 2024), -74495.09% (Q2 2024) and -1809.03% (Q1 2024).
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 | Soligenix | 5.90 Mn | 5.90 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | -7,907.70% |
| Sep 30, 2024 | -2,159.59% |
| Jun 30, 2024 | -74,495.09% |
| Mar 31, 2024 | -1,809.03% |
| Dec 31, 2023 | -873.27% |
| Sep 30, 2023 | -1,363.89% |
| Jun 30, 2023 | -787.87% |
| Mar 31, 2023 | -836.26% |
| Dec 31, 2022 | -975.22% |
| Sep 30, 2022 | -1,854.61% |
| Jun 30, 2022 | -1,485.00% |
| Mar 31, 2022 | -2,229.25% |
| Dec 31, 2021 | -1,636.76% |
| Sep 30, 2021 | -1,807.17% |
| Jun 30, 2021 | -1,391.21% |
| Mar 31, 2021 | -1,513.36% |
| Dec 31, 2020 | -1,710.15% |
| Sep 30, 2020 | -297.76% |
| Jun 30, 2020 | -556.88% |
| Mar 31, 2020 | -916.53% |
Soligenix 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=SNGX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "SNGX", "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=SNGX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();