China Pharma Holdings (CPHI) Intangibles (2010 - 2026)
China Pharma Holdings (CPHI) reported Intangibles of $38.34 million for Q2 2026, up 495.3% from $6.44 million a year earlier but down 0.9% from the prior quarter.
China Pharma Holdings (CPHI) Intangibles (2010 - 2026) Analysis & Trends
At the end of FY2025, China Pharma Holdings posted Intangibles of $24.08 million, up 259.6% from FY2024.
- Intangibles has increased for three consecutive years, with a five-year compound annual growth rate of 165.6% (FY2020 to FY2025).
- By year, Intangibles came in at $6.7 million in FY2024 (+105.7%), $3.26 million in FY2023 (+80.1%), $1.81 million in FY2022 and $147,841 in FY2021 (-18.8%).
- Five-year quarterly Intangibles spans a low of $106,788 in Q3 2022 and a high of $38.67 million in Q1 2026.
- Year over year, Intangibles has now increased in each of the last 11 quarters, with growth averaging 213.5% over the last eight quarters.
- The high point for year-over-year Intangibles in five years was Q2 2026 (growth of 495.3%); the low point was Q3 2022 (a decline of 31.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $38.67 million (Q1 2026), $24.08 million (Q4 2025) and $8.78 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 48.23 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 49.14 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 24.98 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 42.07 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 37.72 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 20.49 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 14.03 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 47.05 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 412.80 Mn |
| 10 | China Pharma Holdings | 29.58 Mn | 28.46 Mn | 83,566.00 | 38.34 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 38.34 Mn |
| Mar 31, 2026 | 38.67 Mn |
| Dec 31, 2025 | 24.08 Mn |
| Sep 30, 2025 | 8.78 Mn |
| Jun 30, 2025 | 6.44 Mn |
| Mar 31, 2025 | 6.57 Mn |
| Dec 31, 2024 | 6.70 Mn |
| Sep 30, 2024 | 4.36 Mn |
| Jun 30, 2024 | 4.39 Mn |
| Mar 31, 2024 | 4.52 Mn |
| Dec 31, 2023 | 3.26 Mn |
| Sep 30, 2023 | 1.64 Mn |
| Jun 30, 2023 | 1.68 Mn |
| Mar 31, 2023 | 1.83 Mn |
| Dec 31, 2022 | 1.81 Mn |
| Sep 30, 2022 | 106,788.00 |
| Jun 30, 2022 | 122,127.00 |
| Mar 31, 2022 | 138,798.00 |
| Dec 31, 2021 | 147,841.00 |
| Sep 30, 2021 | 154,820.00 |
China Pharma Holdings Intangibles 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=intangibles&ticker=CPHI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "ticker": "CPHI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=intangibles&ticker=CPHI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();