CASI Pharmaceuticals (CASIF) Return on Sales [ROS] (2022 - 2025)
CASI Pharmaceuticals (CASIF) posted Return on Sales [ROS] of -1068.86% for Q4 2025, down 972.17 percentage points from -96.69% a year earlier and down 721.64 percentage points from the prior quarter.
CASI Pharmaceuticals (CASIF) Return on Sales [ROS] (2022 - 2025) Analysis & Trends
For FY2025, CASI Pharmaceuticals' Return on Sales [ROS] came in at -217.30%, down 78.46 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of +131.30 percentage points (FY2020 to FY2025).
- In prior years, CASI Pharmaceuticals' Return on Sales [ROS] was -138.84% in FY2024 (-64.81 pp), -74.03% in FY2023 (+4.92 pp), -78.95% in FY2022 (+58.67 pp) and -137.62% in FY2021 (+210.98 pp).
- The Q4 2025 figure stands as the lowest quarterly Return on Sales [ROS] in data going back to Q1 2022.
- On a year-over-year basis, Return on Sales [ROS] has declined in each of the last three quarters, with an average year-over-year change of -194.97 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q1 2025, with a gain of 110.99 percentage points; the weakest was Q4 2025, with a drop of 972.17 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was -347.22% (Q3 2025), -266.47% (Q2 2025) and -166.33% (Q1 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 | CASI Pharmaceuticals | 2.47 Mn | -18.36 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -1,068.86% |
| Sep 30, 2025 | -347.22% |
| Jun 30, 2025 | -266.47% |
| Mar 31, 2025 | -166.33% |
| Dec 31, 2024 | -96.69% |
| Sep 30, 2024 | -108.61% |
| Jun 30, 2024 | -220.88% |
| Mar 31, 2024 | -277.32% |
| Dec 31, 2023 | -49.85% |
| Sep 30, 2023 | -57.65% |
| Jun 30, 2023 | -95.16% |
| Mar 31, 2023 | -86.41% |
| Dec 31, 2022 | -98.09% |
| Sep 30, 2022 | -55.98% |
| Jun 30, 2022 | -74.55% |
| Mar 31, 2022 | -76.77% |
CASI Pharmaceuticals 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=CASIF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "CASIF", "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=CASIF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();