Cocrystal Pharma (COCP) Operating Expenses (2010 - 2026)
Cocrystal Pharma (COCP) posted Operating Expenses of $3.29 million for Q2 2026, up 56.0% from $2.11 million a year earlier and up 27.4% from the prior quarter.
Cocrystal Pharma (COCP) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Cocrystal Pharma was $10.44 million, down 17.9% year-over-year; for FY2025, it came in at $9.02 million, down 49.6% from FY2024.
- Annual Operating Expenses has declined for three consecutive years, with a five-year compound annual growth rate of -4.9% (FY2020 to FY2025).
- In prior years, Cocrystal Pharma's Operating Expenses was $17.88 million in FY2024 (-3.7%), $18.56 million in FY2023 (-52.2%), $38.83 million in FY2022 (+173.0%) and $14.22 million in FY2021 (+22.6%).
- The Q2 2026 figure stands as the highest quarterly Operating Expenses since Q3 2024.
- On a year-over-year basis, Operating Expenses increased in three of the last eight quarters, with an average decline of 17.2%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q2 2022, with growth of 538.1%; the weakest was Q2 2023, with a decline of 82.2%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $2.58 million (Q1 2026), $2.48 million (Q4 2025) and $2.09 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 2.09 Bn |
| 10 | Cocrystal Pharma | 16.68 Mn | -5.22 Mn | - | 3.29 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.29 Mn |
| Mar 31, 2026 | 2.58 Mn |
| Dec 31, 2025 | 2.48 Mn |
| Sep 30, 2025 | 2.09 Mn |
| Jun 30, 2025 | 2.11 Mn |
| Mar 31, 2025 | 2.34 Mn |
| Dec 31, 2024 | 3.23 Mn |
| Sep 30, 2024 | 5.04 Mn |
| Jun 30, 2024 | 5.45 Mn |
| Mar 31, 2024 | 4.16 Mn |
| Dec 31, 2023 | 4.67 Mn |
| Sep 30, 2023 | 4.44 Mn |
| Jun 30, 2023 | 4.34 Mn |
| Mar 31, 2023 | 5.11 Mn |
| Dec 31, 2022 | 4.50 Mn |
| Sep 30, 2022 | 5.69 Mn |
| Jun 30, 2022 | 24.43 Mn |
| Mar 31, 2022 | 4.21 Mn |
| Dec 31, 2021 | 3.70 Mn |
| Sep 30, 2021 | 3.95 Mn |
Cocrystal Pharma 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=COCP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "COCP", "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=COCP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();