Compugen (CGEN) Change in Accrued Expenses (2009 - 2010)
Compugen (CGEN) recorded Change in Accured Expenses of $500,000 in FY2025, compared with -$2.69 million in FY2024.
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Analysis
Compugen (CGEN) Change in Accrued Expenses (2009 - 2010) Analysis & Trends
Starting with FY2009, Compugen's Change in Accured Expenses history includes 17 years.
- Annual Change in Accured Expenses has a five-year compound annual growth rate of -33.4% (FY2020 to FY2025).
- Annual Change in Accured Expenses has ranged from -$2.69 million in FY2024 to $3.71 million in FY2021 over the past five years.
- Per Business Quant data, CGEN's Change in Accured Expenses was -$2.69 million in FY2024, $1.46 million in FY2023, -$1.6 million in FY2022 and $3.71 million in FY2021 (-2.9%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | - |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 2.41 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 983.00 Mn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | - |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | - |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | -87.00 Mn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 756.00 Mn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | - |
| 10 | Compugen | 197.62 Mn | -218.36 Mn | 1.42 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2010 | 776,000.00 |
| Sep 30, 2010 | 61,000.00 |
| Dec 31, 2009 | 116,000.00 |
| Sep 30, 2009 | -224,000.00 |
API Access
Compugen Change in Accrued Expenses 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=change-in-accured-expenses&ticker=CGEN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=CGEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();