Cocrystal Pharma (COCP) Change in Taxes (2023 - 2026)
Cocrystal Pharma's Change in Taxes came in at $8,000 for Q2 2026, down 96.0% from $198,000 a year earlier.
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Analysis
Cocrystal Pharma (COCP) Change in Taxes (2023 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Cocrystal Pharma reported Change in Taxes of -$943,000; for FY2025, it was -$509,000.
- Going back by year, Change in Taxes was $325,000 in FY2024 (+86.8%) and $174,000 in FY2023.
- The five-year range for quarterly Change in Taxes is -$1.13 million (Q3 2025) to $563,000 (Q4 2024).
- Year-over-year, Change in Taxes increased in three of the last five quarters, with growth averaging 34.8%.
- Business Quant data shows COCP's Change in Taxes at -$15,000 (Q1 2026), $193,000 (Q4 2025) and -$1.13 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | - |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | -2.22 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 | -1.53 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | -131.00 Mn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 171.00 Mn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | - |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | - |
| 10 | Cocrystal Pharma | 15.86 Mn | -6.05 Mn | - | 8,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8,000.00 |
| Mar 31, 2026 | -15,000.00 |
| Dec 31, 2025 | 193,000.00 |
| Sep 30, 2025 | -1.13 Mn |
| Jun 30, 2025 | 198,000.00 |
| Mar 31, 2025 | 229,000.00 |
| Dec 31, 2024 | 563,000.00 |
| Sep 30, 2024 | -425,000.00 |
| Jun 30, 2024 | 74,000.00 |
| Mar 31, 2024 | 113,000.00 |
| Dec 31, 2023 | 340,000.00 |
API Access
Cocrystal Pharma Change in Taxes 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=change-in-taxes&ticker=COCP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-taxes", "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=change-in-taxes&ticker=COCP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();