CG Oncology (CGON) Receivables (2023 - 2026)
CG Oncology's Receivables came in at $417,000 for Q2 2026, down 25.8% from $562,000 a year earlier and down 67.3% from the prior quarter.
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Analysis
CG Oncology (CGON) Receivables (2023 - 2026) Analysis & Trends
At the end of FY2025, CG Oncology's Receivables was $688,000.
- Going back by year, Receivables was $92,000 in FY2023.
- The Q2 2026 figure represents the lowest quarterly Receivables since Q1 2025.
- Year-over-year, Receivables increased in four of the last five quarters, with growth averaging 170.8%.
- Business Quant data shows CGON's Receivables at $1.28 million (Q1 2026), $688,000 (Q4 2025) and $515,000 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 19.05 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 13.82 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 12.56 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 9.64 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 15.68 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 10.23 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 5.06 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 12.49 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 2.13 Bn |
| 10 | CG Oncology | 6.15 Bn | 6.15 Bn | -2.77 Mn | 417,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 417,000.00 |
| Mar 31, 2026 | 1.28 Mn |
| Dec 31, 2025 | 688,000.00 |
| Sep 30, 2025 | 515,000.00 |
| Jun 30, 2025 | 562,000.00 |
| Mar 31, 2025 | 345,000.00 |
| Sep 30, 2024 | 137,000.00 |
| Jun 30, 2024 | 182,000.00 |
| Mar 31, 2024 | 153,000.00 |
| Dec 31, 2023 | 92,000.00 |
API Access
CG Oncology Receivables 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=receivables&ticker=CGON&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=CGON&period=max&api_key=YOUR_API_KEY");
const data = await res.json();