China Pharma Holdings (CPHI) Non Operating Interest Expenses (2010 - 2026)
China Pharma Holdings (CPHI) recorded Non Operating Interest Expenses of $26,359 in Q2 2026, down 3.7% from $27,359 a year earlier but up 1.3% from the prior quarter.
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Analysis
China Pharma Holdings (CPHI) Non Operating Interest Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, China Pharma Holdings' Non Operating Interest Expenses came in at $66,067 as of Jun 30, 2026, down 4.3% year-over-year; for FY2025, it was $27,272, down 0.3% from FY2024.
- Annual Non Operating Interest Expenses has declined for four straight years, with a five-year compound annual growth rate of -37.9% (FY2020 to FY2025).
- Across earlier years, Non Operating Interest Expenses came in at $27,353 in FY2024 (-10.5%), $30,572 in FY2023 (-93.0%), $434,619 in FY2022 (-19.8%) and $542,001 in FY2021 (+84.3%).
- Quarterly Non Operating Interest Expenses has ranged from -$252,776 in Q4 2023 to $333,441 in Q4 2021 over the past five years.
- On a year-over-year basis, Non Operating Interest Expenses rose in three of the last seven quarters, with growth averaging 72.6%.
- Peak year-over-year performance for Non Operating Interest Expenses in the last five years was growth of 308.8% in Q1 2025, against a decline of 95.0% in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $26,031 (Q1 2026), $6,879 (Q4 2025) and $6,798 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 281.00 Mn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | - |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | - |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | -462.00 Mn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -435.00 Mn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 673.00 Mn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 247.00 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 | China Pharma Holdings | 26.34 Mn | 25.22 Mn | 83,566.00 | 26,359.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 26,359.00 |
| Mar 31, 2026 | 26,031.00 |
| Dec 31, 2025 | 6,879.00 |
| Sep 30, 2025 | 6,798.00 |
| Jun 30, 2025 | 27,359.00 |
| Mar 31, 2025 | 28,028.00 |
| Dec 31, 2024 | 6,802.00 |
| Sep 30, 2024 | 6,843.00 |
| Jun 30, 2024 | 6,852.00 |
| Mar 31, 2024 | 6,856.00 |
| Dec 31, 2023 | -252,776.00 |
| Sep 30, 2023 | 66,240.00 |
| Jun 30, 2023 | 137,663.00 |
| Mar 31, 2023 | 79,445.00 |
| Dec 31, 2022 | 96,175.00 |
| Sep 30, 2022 | 103,976.00 |
| Jun 30, 2022 | 110,041.00 |
| Mar 31, 2022 | 124,427.00 |
| Dec 31, 2021 | 333,441.00 |
| Sep 30, 2021 | 64,903.00 |
API Access
China Pharma Holdings Non Operating Interest Expenses 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=non-operating-interest-expenses&ticker=CPHI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=CPHI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();