CG Oncology (CGON) Revenue (2023 - 2026)
CG Oncology (CGON) posted Revenue of $1.16 million for Q2 2026, up 6.8% from the prior quarter.
CG Oncology (CGON) Revenue (2023 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Revenue at CG Oncology was $6.23 million; for FY2025, it came in at $4.04 million, up 254.7% from FY2024.
- In prior years, CG Oncology's Revenue was $1.14 million in FY2024 (+458.3%) and $204,000 in FY2023.
- Quarterly Revenue has run from a low of $1,000 in Q4 2023 to a high of $2.32 million in Q4 2025 over five years.
- According to Business Quant data, Revenue for the three prior quarters was $1.08 million (Q1 2026), $2.32 million (Q4 2025) and $1.67 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 25.31 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 16.99 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 16.61 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 14.41 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 15.38 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 10.05 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 7.80 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 15.03 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 3.33 Bn |
| 10 | CG Oncology | 6.15 Bn | 6.15 Bn | -2.77 Mn | 1.16 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.16 Mn |
| Mar 31, 2026 | 1.08 Mn |
| Dec 31, 2025 | 2.32 Mn |
| Sep 30, 2025 | 1.67 Mn |
| Mar 31, 2025 | 52,000.00 |
| Dec 31, 2024 | 456,000.00 |
| Sep 30, 2024 | 43,000.00 |
| Jun 30, 2024 | 111,000.00 |
| Mar 31, 2024 | 529,000.00 |
| Dec 31, 2023 | 1,000.00 |
| Sep 30, 2023 | 9,000.00 |
| Mar 31, 2023 | 194,000.00 |
CG Oncology Revenue 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=revenue&ticker=CGON&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=CGON&period=max&api_key=YOUR_API_KEY");
const data = await res.json();