China Pharma Holdings (CPHI) Selling, General & Administrative (2010 - 2026)
China Pharma Holdings' Selling, General & Administrative was $1.38 million in Q2 2026, up 212.4% from $440,834 a year earlier and up 12.3% from the prior quarter.
China Pharma Holdings (CPHI) Selling, General & Administrative (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, China Pharma Holdings' Selling, General & Administrative was $4.11 million through Jun 30, 2026, up 90.8% year-over-year; for FY2025, it was $2.45 million, up 37.4% from FY2024.
- Selling, General & Administrative shows a five-year compound annual growth rate of 6.1% (FY2020 to FY2025).
- In earlier years, Selling, General & Administrative was $1.78 million in FY2024 (+21.7%), $1.47 million in FY2023 (-22.6%), $1.89 million in FY2022 (+14.7%) and $1.65 million in FY2021 (-9.4%).
- The Q2 2026 figure marks the highest quarterly Selling, General & Administrative since Q2 2013.
- Compared with a year earlier, Selling, General & Administrative has increased for eight straight quarters, with growth averaging 106.4% over the last eight quarters.
- The best year-over-year quarter for Selling, General & Administrative over five years was Q2 2025 (growth of 379.8%); the worst was Q2 2023 (a decline of 59.0%).
- Per Business Quant data, CPHI's Selling, General & Administrative in the three quarters before Q2 2026 was $1.23 million (Q1 2026), $1.08 million (Q4 2025) and $424,827 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 6.43 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 3.63 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 2.90 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | -3.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -5.65 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 1.75 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 1.92 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 3.41 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 582.20 Mn |
| 10 | China Pharma Holdings | 26.34 Mn | 25.22 Mn | 83,566.00 | 1.38 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.38 Mn |
| Mar 31, 2026 | 1.23 Mn |
| Dec 31, 2025 | 1.08 Mn |
| Sep 30, 2025 | 424,827.00 |
| Jun 30, 2025 | 440,834.00 |
| Mar 31, 2025 | 507,182.00 |
| Dec 31, 2024 | 859,373.00 |
| Sep 30, 2024 | 345,051.00 |
| Jun 30, 2024 | 91,870.00 |
| Mar 31, 2024 | 488,456.00 |
| Dec 31, 2023 | 689,785.00 |
| Sep 30, 2023 | 246,267.00 |
| Jun 30, 2023 | 112,033.00 |
| Mar 31, 2023 | 417,999.00 |
| Dec 31, 2022 | 829,434.00 |
| Sep 30, 2022 | 276,611.00 |
| Jun 30, 2022 | 273,056.00 |
| Mar 31, 2022 | 514,168.00 |
| Dec 31, 2021 | 610,298.00 |
| Sep 30, 2021 | 301,970.00 |
China Pharma Holdings Selling, General & Administrative 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=selling-general-and-administrative&ticker=CPHI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=CPHI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();