CG Oncology (CGON) Return on Sales [ROS] (2023 - 2026)
CG Oncology's Return on Sales [ROS] came in at -7467.68% for Q2 2026, up 21078.42 percentage points from -28546.10% a year earlier but down 1337.57 percentage points from the prior quarter.
CG Oncology (CGON) Return on Sales [ROS] (2023 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, CG Oncology reported Return on Sales [ROS] of -4056.18%, up 24489.92 percentage points year-over-year; for FY2025, it came in at -4722.13%, up 5345.12 percentage points from FY2024.
- Going back by year, Return on Sales [ROS] was -10067.25% in FY2024 (+17113.63 pp) and -27180.88% in FY2023.
- The five-year range for quarterly Return on Sales [ROS] is -1935500.00% (Q4 2023) to -2097.33% (Q4 2025).
- Year-over-year, Return on Sales [ROS] has increased for four consecutive quarters, with an average year-over-year change of +262538.46 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q4 2024 (a gain of 1927155.92 percentage points), and the weakest in Q1 2025 (a drop of 76914.09 percentage points).
- Business Quant data shows CGON's Return on Sales [ROS] at -6130.10% (Q1 2026), -2097.33% (Q4 2025) and -3068.97% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 34.46% |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 24.35% |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 36.01% |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 30.74% |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 29.12% |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 35.79% |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 41.71% |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 32.98% |
| 10 | CG Oncology | 6.49 Bn | 2.66 Bn | -1.07 Mn | -3,943.20% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -3,943.20% |
| Jun 30, 2026 | -7,467.68% |
| Mar 31, 2026 | -6,130.10% |
| Dec 31, 2025 | -2,097.33% |
| Sep 30, 2025 | -3,068.97% |
| Jun 30, 2025 | -28,546.10% |
| Mar 31, 2025 | -81,161.54% |
| Dec 31, 2024 | -8,344.08% |
| Sep 30, 2024 | -65,802.33% |
| Jun 30, 2024 | -23,290.99% |
| Mar 31, 2024 | -4,247.45% |
| Dec 31, 2023 | -1,935,500.00% |
| Sep 30, 2023 | -156,033.33% |
| Mar 31, 2023 | -5,010.82% |
CG Oncology 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=CGON&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "CGON", "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=CGON&period=max&api_key=YOUR_API_KEY");
const data = await res.json();