Compugen (CGEN) Operating Expenses (2009 - 2026)
Compugen (CGEN) posted Operating Expenses of $8.75 million for Q2 2026, up 9.0% from $8.02 million a year earlier but down 6.7% from the prior quarter.
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Analysis
Compugen (CGEN) Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Compugen was $34 million, up 1.2% year-over-year; for FY2025, it came in at $32.19 million, down 7.6% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of -0.8% (FY2020 to FY2025).
- In prior years, Compugen's Operating Expenses was $34.83 million in FY2024 (-21.6%), $44.45 million in FY2023 (+6.1%), $41.9 million in FY2022 (+3.7%) and $40.39 million in FY2021 (+20.8%).
- Quarterly Operating Expenses has run from a low of $7.75 million in Q4 2025 to a high of $13.47 million in Q4 2023 over five years.
- On a year-over-year basis, Operating Expenses increased in two of the last eight quarters, with an average decline of 7.7%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q3 2021, with growth of 41.7%; the weakest was Q4 2024, with a decline of 38.5%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $9.37 million (Q1 2026), $7.75 million (Q4 2025) and $8.13 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,130.38 Bn | 1,098.96 Bn | 19.71 Bn | 7.95 Bn |
| 2 | Johnson & Johnson | 613.84 Bn | 532.37 Bn | 17.26 Bn | 10.12 Bn |
| 3 | AbbVie | 502.13 Bn | 475.24 Bn | 12.70 Bn | 10.56 Bn |
| 4 | Merck | 367.76 Bn | 322.14 Bn | 12.21 Bn | 12.80 Bn |
| 5 | Novartis Ag | 298.08 Bn | 262.07 Bn | 11.24 Bn | 6.09 Bn |
| 6 | Astrazeneca | 262.03 Bn | 235.71 Bn | 12.86 Bn | 9.70 Bn |
| 7 | Amgen | 235.81 Bn | 191.21 Bn | 7.24 Bn | 6.54 Bn |
| 8 | Gilead Sciences | 190.97 Bn | 165.17 Bn | 6.22 Bn | 18.20 Bn |
| 9 | Pfizer | 169.66 Bn | 116.31 Bn | 10.94 Bn | 6.68 Bn |
| 10 | Compugen | 200.86 Mn | -172.22 Mn | -92,000.00 | 8.75 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.75 Mn |
| Mar 31, 2026 | 9.37 Mn |
| Dec 31, 2025 | 7.75 Mn |
| Sep 30, 2025 | 8.13 Mn |
| Jun 30, 2025 | 8.02 Mn |
| Mar 31, 2025 | 8.28 Mn |
| Dec 31, 2024 | 8.28 Mn |
| Sep 30, 2024 | 9.04 Mn |
| Jun 30, 2024 | 8.56 Mn |
| Mar 31, 2024 | 8.95 Mn |
| Dec 31, 2023 | 13.47 Mn |
| Sep 30, 2023 | 10.63 Mn |
| Jun 30, 2023 | 10.21 Mn |
| Mar 31, 2023 | 10.13 Mn |
| Dec 31, 2022 | 10.05 Mn |
| Sep 30, 2022 | 12.21 Mn |
| Jun 30, 2022 | 9.64 Mn |
| Mar 31, 2022 | 10.00 Mn |
| Dec 31, 2021 | 8.78 Mn |
| Sep 30, 2021 | 11.65 Mn |
API Access
Compugen Operating 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=operating-expenses&ticker=CGEN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=CGEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();