China Pharma Holdings (CPHI) Cash & Equivalents (2010 - 2026)
China Pharma Holdings' Cash & Equivalents was $304,874 in Q2 2026, down 51.2% from $625,032 a year earlier but up 79.3% from the prior quarter.
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Analysis
China Pharma Holdings (CPHI) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Cash & Equivalents at China Pharma Holdings came in at $345,112, down 44.9% from FY2024.
- Cash & Equivalents has now declined for four consecutive years, with a five-year compound annual growth rate of -18.5% (FY2020 to FY2025).
- In earlier years, Cash & Equivalents was $626,879 in FY2024 (-56.0%), $1.42 million in FY2023 (-29.9%), $2.03 million in FY2022 (-58.2%) and $4.86 million in FY2021 (+407.4%).
- Quarterly Cash & Equivalents has moved between $170,000 (Q1 2026) and $4.86 million (Q4 2021) over five years.
- Compared with a year earlier, Cash & Equivalents has declined for 15 straight quarters, with an average decline of 47.9% over the last eight quarters.
- The best year-over-year quarter for Cash & Equivalents over five years was Q1 2022 (growth of 595.0%); the worst was Q1 2023 (a decline of 68.6%).
- Per Business Quant data, CPHI's Cash & Equivalents in the three quarters before Q2 2026 was $170,000 (Q1 2026), $345,112 (Q4 2025) and $300,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | 4.89 Bn |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 16.91 Bn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 10.77 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | 9.55 Bn |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | 7.62 Bn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | 4.90 Bn |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | 13.19 Bn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 6.44 Bn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | 1.82 Bn |
| 10 | China Pharma Holdings | 22.89 Mn | 21.77 Mn | 83,566.00 | 304,874.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 304,874.00 |
| Mar 31, 2026 | 170,000.00 |
| Dec 31, 2025 | 345,112.00 |
| Sep 30, 2025 | 300,000.00 |
| Jun 30, 2025 | 625,032.00 |
| Mar 31, 2025 | 412,688.00 |
| Dec 31, 2024 | 626,879.00 |
| Sep 30, 2024 | 718,691.00 |
| Jun 30, 2024 | 739,337.00 |
| Mar 31, 2024 | 838,881.00 |
| Dec 31, 2023 | 1.42 Mn |
| Sep 30, 2023 | 1.37 Mn |
| Jun 30, 2023 | 901,910.00 |
| Mar 31, 2023 | 1.17 Mn |
| Dec 31, 2022 | 2.03 Mn |
| Sep 30, 2022 | 2.09 Mn |
| Jun 30, 2022 | 2.24 Mn |
| Mar 31, 2022 | 3.71 Mn |
| Dec 31, 2021 | 4.86 Mn |
| Sep 30, 2021 | 458,831.00 |
API Access
China Pharma Holdings Cash & Equivalents 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=cash-and-equivalents&ticker=CPHI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=CPHI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();