China Pharma Holdings (CPHI) Change in Accured Expenses (2010 - 2026)
China Pharma Holdings' Change in Accured Expenses came in at $191,211 for Q2 2026, up 5.9% from $180,487 a year earlier.
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Analysis
China Pharma Holdings (CPHI) Change in Accured Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, China Pharma Holdings reported Change in Accured Expenses of $541,028, down 30.1% year-over-year; for FY2025, it was $465,753, up 8.0% from FY2024.
- Going back by year, Change in Accured Expenses was $431,215 in FY2024 (+67.3%), $257,778 in FY2023 (-62.8%), $692,190 in FY2022 (+66.7%) and $415,309 in FY2021.
- The five-year range for quarterly Change in Accured Expenses is -$450,887 (Q1 2023) to $804,339 (Q4 2022).
- Year-over-year, Change in Accured Expenses increased in three of the last four quarters, with growth averaging 27.0%.
- The fastest year-over-year change in Change in Accured Expenses over five years came in Q3 2023 (growth of 940.4%), and the weakest in Q2 2023 (a decline of 83.2%).
- Business Quant data shows CPHI's Change in Accured Expenses at -$14,258 (Q1 2026), $432,777 (Q4 2025) and -$68,702 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 2.96 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 1.20 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | - |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | -251.00 Mn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | - |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 901.00 Mn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 338.00 Mn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | - |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 222.50 Mn |
| 10 | China Pharma Holdings | 26.34 Mn | 25.22 Mn | 83,566.00 | 191,211.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 191,211.00 |
| Mar 31, 2026 | -14,258.00 |
| Dec 31, 2025 | 432,777.00 |
| Sep 30, 2025 | -68,702.00 |
| Jun 30, 2025 | 180,487.00 |
| Mar 31, 2025 | -78,809.00 |
| Dec 31, 2024 | 729,131.00 |
| Sep 30, 2024 | -56,482.00 |
| Jun 30, 2024 | 106,548.00 |
| Mar 31, 2024 | -347,982.00 |
| Dec 31, 2023 | 420,886.00 |
| Sep 30, 2023 | 262,045.00 |
| Jun 30, 2023 | 25,734.00 |
| Mar 31, 2023 | -450,887.00 |
| Dec 31, 2022 | 804,339.00 |
| Sep 30, 2022 | 25,186.00 |
| Jun 30, 2022 | 153,558.00 |
| Mar 31, 2022 | -290,893.00 |
| Dec 31, 2021 | 207,099.00 |
| Sep 30, 2021 | -239,290.00 |
API Access
China Pharma Holdings Change in Accured 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=change-in-accured-expenses&ticker=CPHI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=CPHI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();