Cocrystal Pharma (COCP) Operating Margin (2013 - 2026)
Cocrystal Pharma (COCP) recorded Operating Margin of -3032.38% in Q2 2026, down 1985.27 percentage points from the prior quarter.
Cocrystal Pharma (COCP) Operating Margin (2013 - 2026) Analysis & Trends
On a TTM basis, Cocrystal Pharma's Operating Margin came in at -760.72% as of Jun 30, 2026; for FY2020, it came in at -475.97%, up 261.48 percentage points from FY2019.
- Across earlier years, Operating Margin came in at -737.45% in FY2019.
- The Q2 2026 figure is the lowest quarterly Operating Margin since Q4 2019.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,132.02 Bn | 1,100.60 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 613.16 Bn | 531.69 Bn | 17.26 Bn | 28.21% |
| 3 | AbbVie | 503.74 Bn | 476.85 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 367.41 Bn | 321.79 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 297.66 Bn | 261.65 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 261.30 Bn | 234.99 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 236.04 Bn | 191.44 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 190.96 Bn | 165.16 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 169.89 Bn | 116.53 Bn | 10.94 Bn | 28.37% |
| 10 | Cocrystal Pharma | 13.10 Mn | -8.81 Mn | - | -3,032.38% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -3,032.38% |
| Mar 31, 2026 | -1,047.11% |
| Dec 31, 2020 | -287.45% |
| Sep 30, 2020 | -553.99% |
| Jun 30, 2020 | -622.74% |
| Mar 31, 2020 | -425.38% |
| Dec 31, 2019 | -11,921.64% |
| Sep 30, 2019 | -367.48% |
| Jun 30, 2019 | -261.82% |
| Mar 31, 2019 | 56.66% |
| Mar 31, 2018 | -2,793.24% |
| Sep 30, 2016 | -3,713.73% |
| Jun 30, 2016 | -10,779.49% |
| Mar 31, 2016 | -10,885.71% |
| Sep 30, 2015 | -14,958.33% |
| Mar 31, 2015 | -4,927.27% |
| Jun 30, 2013 | -74,024.30% |
Cocrystal Pharma Operating Margin 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-margin&ticker=COCP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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-margin&ticker=COCP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();