Meihua International Medical Technologies (MHUAF) Other Accumulated Expenses (2022 - 2025)
Meihua International Medical Technologies (MHUAF) recorded Other Accumulated Expenses of $30,633 in Q4 2025, down 58.5% from $73,777 a year earlier.
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Analysis
Meihua International Medical Technologies (MHUAF) Other Accumulated Expenses (2022 - 2025) Analysis & Trends
Starting with Q4 2022, Meihua International Medical Technologies' Other Accumulated Expenses history includes 6 quarters.
- Annual Other Accumulated Expenses has a three-year compound annual growth rate of -19.9% (FY2022 to FY2025).
- Across earlier years, Other Accumulated Expenses came in at $73,777 in FY2024 (+31.7%), $55,999 in FY2023 (-5.9%) and $59,526 in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn |
| 10 | Meihua International Medical Technologies | 2.47 Mn | -65.37 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 30,633.00 |
| Jun 30, 2025 | 60,203.00 |
| Dec 31, 2024 | 73,777.00 |
| Jun 30, 2024 | 75,163.00 |
| Dec 31, 2023 | 55,999.00 |
| Dec 31, 2022 | 59,526.00 |
API Access
Meihua International Medical Technologies Other Accumulated 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=other-accumulated-expenses&ticker=MHUAF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "MHUAF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=other-accumulated-expenses&ticker=MHUAF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();