Cocrystal Pharma (COCP) Research & Development (2010 - 2026)
Cocrystal Pharma (COCP) recorded Research & Development of $2.14 million in Q2 2026, up 90.9% from $1.12 million a year earlier and up 56.2% from the prior quarter.
Cocrystal Pharma (COCP) Research & Development (2010 - 2026) Analysis & Trends
On a TTM basis, Cocrystal Pharma's Research & Development came in at $6.09 million as of Jun 30, 2026, down 21.6% year-over-year; for FY2025, it was $5.06 million, down 59.7% from FY2024.
- Annual Research & Development has a five-year compound annual growth rate of -3.5% (FY2020 to FY2025).
- Across earlier years, Research & Development came in at $12.54 million in FY2024 (-17.4%), $15.17 million in FY2023 (+22.4%), $12.39 million in FY2022 (+40.9%) and $8.79 million in FY2021 (+45.7%).
- The Q2 2026 figure is the highest quarterly Research & Development since Q3 2024.
- On a year-over-year basis, Research & Development rose in two of the last eight quarters, with an average decline of 25.3%.
- Peak year-over-year performance for Research & Development in the last five years was growth of 291.5% in Q4 2021, against a decline of 74.0% in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.37 million (Q1 2026), $1.62 million (Q4 2025) and $954,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,132.10 Bn | 1,100.69 Bn | 19.71 Bn | 3.82 Bn |
| 2 | Johnson & Johnson | 615.67 Bn | 534.20 Bn | 17.26 Bn | 3.65 Bn |
| 3 | AbbVie | 504.61 Bn | 477.72 Bn | 12.70 Bn | 2.34 Bn |
| 4 | Merck | 368.03 Bn | 322.41 Bn | 12.21 Bn | 9.74 Bn |
| 5 | Novartis Ag | 298.24 Bn | 262.23 Bn | 11.24 Bn | 2.85 Bn |
| 6 | Astrazeneca | 261.77 Bn | 235.46 Bn | 12.86 Bn | 4.05 Bn |
| 7 | Amgen | 236.17 Bn | 191.57 Bn | 7.24 Bn | 1.87 Bn |
| 8 | Gilead Sciences | 190.62 Bn | 164.81 Bn | 6.22 Bn | 1.76 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 2.81 Bn |
| 10 | Cocrystal Pharma | 13.27 Mn | -8.64 Mn | - | 2.14 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.14 Mn |
| Mar 31, 2026 | 1.37 Mn |
| Dec 31, 2025 | 1.62 Mn |
| Sep 30, 2025 | 954,000.00 |
| Jun 30, 2025 | 1.12 Mn |
| Mar 31, 2025 | 1.36 Mn |
| Dec 31, 2024 | 2.04 Mn |
| Sep 30, 2024 | 3.24 Mn |
| Jun 30, 2024 | 4.31 Mn |
| Mar 31, 2024 | 2.95 Mn |
| Dec 31, 2023 | 4.27 Mn |
| Sep 30, 2023 | 4.19 Mn |
| Jun 30, 2023 | 2.80 Mn |
| Mar 31, 2023 | 3.91 Mn |
| Dec 31, 2022 | 3.29 Mn |
| Sep 30, 2022 | 3.87 Mn |
| Jun 30, 2022 | 2.36 Mn |
| Mar 31, 2022 | 2.87 Mn |
| Dec 31, 2021 | 2.73 Mn |
| Sep 30, 2021 | 2.11 Mn |
Cocrystal Pharma Research & Development 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=research-and-development&ticker=COCP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=COCP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();