Compugen (CGEN) Accumulated Expenses (2023 - 2026)
Compugen (CGEN) posted Accumulated Expenses of $5.26 million for Q2 2026, up 6.6% from $4.93 million a year earlier and up 30.4% from the prior quarter.
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Analysis
Compugen (CGEN) Accumulated Expenses (2023 - 2026) Analysis & Trends
At the end of FY2025, Compugen's Accumulated Expenses came in at $5.68 million, up 9.8% from FY2024.
- In prior years, Compugen's Accumulated Expenses was $5.17 million in FY2024 (-34.2%) and $7.86 million in FY2023.
- Quarterly Accumulated Expenses has run from a low of $4.03 million in Q1 2026 to a high of $8.22 million in Q2 2024 over five years.
- On a year-over-year basis, Accumulated Expenses increased in two of the last four quarters, with an average decline of 14.5%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | Compugen | 225.04 Mn | -148.05 Mn | -92,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.26 Mn |
| Mar 31, 2026 | 4.03 Mn |
| Dec 31, 2025 | 5.68 Mn |
| Jun 30, 2025 | 4.93 Mn |
| Dec 31, 2024 | 5.17 Mn |
| Jun 30, 2024 | 8.22 Mn |
| Dec 31, 2023 | 7.86 Mn |
API Access
Compugen Accumulated 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=accumulated-expenses&ticker=CGEN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=CGEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();