China Pharma Holdings (CPHI) Total Current Liabilities (2010 - 2026)
China Pharma Holdings' Total Current Liabilities was $7.68 million in Q2 2026, up 46.3% from $5.25 million a year earlier and up 5.7% from the prior quarter.
China Pharma Holdings (CPHI) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Total Current Liabilities at China Pharma Holdings came in at $7.4 million, up 47.5% from FY2024.
- Total Current Liabilities shows a five-year compound annual growth rate of -8.3% (FY2020 to FY2025).
- In earlier years, Total Current Liabilities was $5.02 million in FY2024 (-26.4%), $6.82 million in FY2023 (-46.5%), $12.74 million in FY2022 (+21.2%) and $10.51 million in FY2021 (-7.8%).
- The Q2 2026 figure marks the highest quarterly Total Current Liabilities since Q2 2023.
- Compared with a year earlier, Total Current Liabilities has increased for five straight quarters, with growth averaging 14.6% over the last eight quarters.
- The best year-over-year quarter for Total Current Liabilities over five years was Q4 2025 (growth of 47.5%); the worst was Q2 2024 (a decline of 55.3%).
- Per Business Quant data, CPHI's Total Current Liabilities in the three quarters before Q2 2026 was $7.27 million (Q1 2026), $7.4 million (Q4 2025) and $6.62 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 54.90 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 41.64 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 27.73 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 31.75 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -31.55 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 25.50 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 11.02 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 32.65 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 3.94 Bn |
| 10 | China Pharma Holdings | 29.58 Mn | 28.46 Mn | 83,566.00 | 7.68 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.68 Mn |
| Mar 31, 2026 | 7.27 Mn |
| Dec 31, 2025 | 7.40 Mn |
| Sep 30, 2025 | 6.62 Mn |
| Jun 30, 2025 | 5.25 Mn |
| Mar 31, 2025 | 5.12 Mn |
| Dec 31, 2024 | 5.02 Mn |
| Sep 30, 2024 | 4.76 Mn |
| Jun 30, 2024 | 4.71 Mn |
| Mar 31, 2024 | 5.73 Mn |
| Dec 31, 2023 | 6.82 Mn |
| Sep 30, 2023 | 7.06 Mn |
| Jun 30, 2023 | 10.55 Mn |
| Mar 31, 2023 | 11.92 Mn |
| Dec 31, 2022 | 12.74 Mn |
| Sep 30, 2022 | 12.63 Mn |
| Jun 30, 2022 | 8.36 Mn |
| Mar 31, 2022 | 9.90 Mn |
| Dec 31, 2021 | 10.51 Mn |
| Sep 30, 2021 | 10.45 Mn |
China Pharma Holdings Total Current Liabilities 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=total-current-liabilities&ticker=CPHI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=CPHI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();