Compugen (CGEN) Total Non-Current Liabilities (2009 - 2026)
Compugen's Total Non-Current Liabilities came in at $27 million for Q2 2026, down 24.3% from $35.69 million a year earlier and down 5.2% from the prior quarter.
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Analysis
Compugen (CGEN) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Compugen's Total Non-Current Liabilities was $31.27 million, down 21.7% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of 31.3% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $39.92 million in FY2024 (+35.3%), $29.51 million in FY2023 (+544.7%), $4.58 million in FY2022 (-45.3%) and $8.37 million in FY2021 (+4.5%).
- The Q2 2026 figure represents the lowest quarterly Total Non-Current Liabilities since Q3 2023.
- Year-over-year, Total Non-Current Liabilities has declined for four consecutive quarters, with growth averaging 100.0% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q3 2024 (growth of 779.9%), and the weakest in Q4 2022 (a decline of 45.3%).
- Business Quant data shows CGEN's Total Non-Current Liabilities at $28.47 million (Q1 2026), $31.27 million (Q4 2025) and $33.74 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,146.94 Bn | 1,115.53 Bn | 19.71 Bn | 60.66 Bn |
| 2 | Johnson & Johnson | 624.96 Bn | 543.49 Bn | 17.26 Bn | 105.50 Bn |
| 3 | AbbVie | 510.15 Bn | 483.27 Bn | 12.70 Bn | 106.45 Bn |
| 4 | Merck | 366.13 Bn | 320.51 Bn | 12.21 Bn | 80.25 Bn |
| 5 | Novartis Ag | 297.75 Bn | 261.74 Bn | 11.24 Bn | 48.34 Bn |
| 6 | Astrazeneca | 261.93 Bn | 235.62 Bn | 12.86 Bn | 33.91 Bn |
| 7 | Amgen | 236.51 Bn | 191.91 Bn | 7.24 Bn | 78.66 Bn |
| 8 | Gilead Sciences | 194.27 Bn | 168.47 Bn | 6.22 Bn | 35.10 Bn |
| 9 | Pfizer | 171.74 Bn | 118.39 Bn | 10.94 Bn | 97.04 Bn |
| 10 | Compugen | 199.93 Mn | -173.16 Mn | -92,000.00 | 27.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 27.00 Mn |
| Mar 31, 2026 | 28.47 Mn |
| Dec 31, 2025 | 31.27 Mn |
| Sep 30, 2025 | 33.74 Mn |
| Jun 30, 2025 | 35.69 Mn |
| Mar 31, 2025 | 37.34 Mn |
| Dec 31, 2024 | 39.92 Mn |
| Sep 30, 2024 | 35.27 Mn |
| Jun 30, 2024 | 27.06 Mn |
| Mar 31, 2024 | 29.40 Mn |
| Dec 31, 2023 | 29.51 Mn |
| Sep 30, 2023 | 4.01 Mn |
| Jun 30, 2023 | 4.25 Mn |
| Mar 31, 2023 | 4.39 Mn |
| Dec 31, 2022 | 4.58 Mn |
| Sep 30, 2022 | 4.78 Mn |
| Jun 30, 2022 | 5.94 Mn |
| Mar 31, 2022 | 7.08 Mn |
| Dec 31, 2021 | 8.37 Mn |
| Sep 30, 2021 | 7.22 Mn |
API Access
Compugen Total Non-Current 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-non-current-liabilities&ticker=CGEN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=CGEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();