CG Oncology (CGON) Operating Leases (2023 - 2026)
CG Oncology's Operating Leases was $4.83 million in Q2 2026, up 584.7% from $706,000 a year earlier and up 37.8% from the prior quarter.
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Analysis
CG Oncology (CGON) Operating Leases (2023 - 2026) Analysis & Trends
At the end of FY2025, Operating Leases at CG Oncology came in at $3.11 million.
- In earlier years, Operating Leases was $52,000 in FY2024 (-78.7%) and $244,000 in FY2023.
- The Q2 2026 figure marks the highest quarterly Operating Leases in data going back to Q4 2023.
- Compared with a year earlier, Operating Leases was higher in four of the last five quarters, with growth averaging 335.6%.
- Per Business Quant data, CGON's Operating Leases in the three quarters before Q2 2026 was $3.51 million (Q1 2026), $3.11 million (Q4 2025) and $3.33 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn |
| 10 | CG Oncology | 6.15 Bn | 6.15 Bn | -2.77 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.83 Mn |
| Mar 31, 2026 | 3.51 Mn |
| Dec 31, 2025 | 3.11 Mn |
| Sep 30, 2025 | 3.33 Mn |
| Jun 30, 2025 | 706,000.00 |
| Mar 31, 2025 | 781,000.00 |
| Dec 31, 2024 | 52,000.00 |
| Sep 30, 2024 | 71,000.00 |
| Jun 30, 2024 | 118,000.00 |
| Mar 31, 2024 | 184,000.00 |
| Dec 31, 2023 | 244,000.00 |
API Access
CG Oncology Operating Leases 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=operating-leases&ticker=CGON&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=CGON&period=max&api_key=YOUR_API_KEY");
const data = await res.json();