Compugen (CGEN) Total Liabilities (2009 - 2026)
Compugen (CGEN) recorded Total Liabilities of $49.63 million in Q2 2026, down 11.8% from $56.27 million a year earlier and down 1.7% from the prior quarter.
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Analysis
Compugen (CGEN) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Compugen reported Total Liabilities of $53.84 million, down 10.4% from FY2024.
- Annual Total Liabilities has a five-year compound annual growth rate of 23.8% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $60.08 million in FY2024 (+7.7%), $55.78 million in FY2023 (+238.1%), $16.5 million in FY2022 (-35.2%) and $25.47 million in FY2021 (+37.4%).
- The Q2 2026 figure is the lowest quarterly Total Liabilities since Q3 2023.
- On a year-over-year basis, Total Liabilities has declined for four consecutive quarters, with growth averaging 39.1% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 338.2% in Q3 2024, against a decline of 35.2% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $50.51 million (Q1 2026), $53.84 million (Q4 2025) and $54.02 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 7.18 Bn |
| 10 | Compugen | 220.31 Mn | -152.78 Mn | -92,000.00 | 49.63 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 49.63 Mn |
| Mar 31, 2026 | 50.51 Mn |
| Dec 31, 2025 | 53.84 Mn |
| Sep 30, 2025 | 54.02 Mn |
| Jun 30, 2025 | 56.27 Mn |
| Mar 31, 2025 | 58.34 Mn |
| Dec 31, 2024 | 60.08 Mn |
| Sep 30, 2024 | 63.03 Mn |
| Jun 30, 2024 | 51.83 Mn |
| Mar 31, 2024 | 54.03 Mn |
| Dec 31, 2023 | 55.78 Mn |
| Sep 30, 2023 | 14.38 Mn |
| Jun 30, 2023 | 15.05 Mn |
| Mar 31, 2023 | 15.11 Mn |
| Dec 31, 2022 | 16.50 Mn |
| Sep 30, 2022 | 19.55 Mn |
| Jun 30, 2022 | 19.93 Mn |
| Mar 31, 2022 | 22.78 Mn |
| Dec 31, 2021 | 25.47 Mn |
| Sep 30, 2021 | 22.47 Mn |
API Access
Compugen Total Liabilities 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=total-liabilities&ticker=CGEN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "CGEN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=total-liabilities&ticker=CGEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();