Compugen (CGEN) Receivables (2009 - 2026)
Compugen (CGEN) reported Receivables of $680,000 for Q2 2026.
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Analysis
Compugen (CGEN) Receivables (2009 - 2026) Analysis & Trends
At the end of FY2023, Compugen posted Receivables of $61 million.
- Receivables has a three-year compound annual growth rate of 212.4% (FY2020 to FY2023).
- By year, Receivables came in at $2 million in FY2020.
- The Q2 2026 figure ranks as the highest quarterly Receivables since Q2 2024.
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 | Compugen | 220.31 Mn | -152.78 Mn | -92,000.00 | 680,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 680,000.00 |
| Jun 30, 2024 | 5.00 Mn |
| Dec 31, 2023 | 61.00 Mn |
| Sep 30, 2021 | 6.00 Mn |
| Dec 31, 2020 | 2.00 Mn |
| Sep 30, 2018 | 7.80 Mn |
| Mar 31, 2018 | 10.00 Mn |
| Jun 30, 2016 | 400,000.00 |
| Dec 31, 2015 | 7.80 Mn |
| Jun 30, 2014 | 1.14 Mn |
| Mar 31, 2012 | 661,000.00 |
| Dec 31, 2011 | 546,000.00 |
| Sep 30, 2011 | 540,000.00 |
| Jun 30, 2011 | 1.26 Mn |
| Mar 31, 2011 | 840,000.00 |
| Dec 31, 2010 | 5.02 Mn |
| Sep 30, 2010 | 690,000.00 |
| Jun 30, 2010 | 250,000.00 |
| Mar 31, 2010 | 777,000.00 |
| Dec 31, 2009 | 720,000.00 |
API Access
Compugen 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=CGEN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=CGEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();