China Pharma Holdings (CPHI) Cost of Revenue (2010 - 2026)
China Pharma Holdings' Cost of Revenue came in at $864,774 for Q2 2026, down 22.3% from $1.11 million a year earlier but up 23.9% from the prior quarter.
China Pharma Holdings (CPHI) Cost of Revenue (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, China Pharma Holdings reported Cost of Revenue of $3.45 million, down 34.8% year-over-year; for FY2025, it was $4.28 million, down 34.4% from FY2024.
- Cost of Revenue has declined in each of the last four years, with a five-year compound annual growth rate of -13.7% (FY2020 to FY2025).
- Going back by year, Cost of Revenue was $6.51 million in FY2024 (-10.7%), $7.29 million in FY2023 (-15.2%), $8.6 million in FY2022 (-7.5%) and $9.29 million in FY2021 (+4.3%).
- The five-year range for quarterly Cost of Revenue is $698,049 (Q1 2026) to $2.88 million (Q4 2022).
- Year-over-year, Cost of Revenue has declined for eight consecutive quarters, with an average decline of 32.8% over the last eight quarters.
- The fastest year-over-year change in Cost of Revenue over five years came in Q2 2024 (growth of 55.9%), and the weakest in Q3 2025 (a decline of 49.6%).
- Business Quant data shows CPHI's Cost of Revenue at $698,049 (Q1 2026), $1.08 million (Q4 2025) and $815,871 (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 3.27 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 8.05 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 4.29 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 4.40 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 3.71 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 2.52 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 2.81 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 1.58 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 4.09 Bn |
| 10 | China Pharma Holdings | 25.93 Mn | 24.81 Mn | 83,566.00 | 864,774.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 864,774.00 |
| Mar 31, 2026 | 698,049.00 |
| Dec 31, 2025 | 1.08 Mn |
| Sep 30, 2025 | 815,871.00 |
| Jun 30, 2025 | 1.11 Mn |
| Mar 31, 2025 | 1.27 Mn |
| Dec 31, 2024 | 1.29 Mn |
| Sep 30, 2024 | 1.62 Mn |
| Jun 30, 2024 | 1.94 Mn |
| Mar 31, 2024 | 1.66 Mn |
| Dec 31, 2023 | 2.23 Mn |
| Sep 30, 2023 | 2.04 Mn |
| Jun 30, 2023 | 1.24 Mn |
| Mar 31, 2023 | 1.78 Mn |
| Dec 31, 2022 | 2.88 Mn |
| Sep 30, 2022 | 2.10 Mn |
| Jun 30, 2022 | 1.84 Mn |
| Mar 31, 2022 | 1.77 Mn |
| Dec 31, 2021 | 2.59 Mn |
| Sep 30, 2021 | 2.28 Mn |
China Pharma Holdings Cost of Revenue 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=cost-of-revenue&ticker=CPHI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=CPHI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();