Meihua International Medical Technologies (MHUAF) Finished Goods (2022 - 2025)
Meihua International Medical Technologies (MHUAF) recorded Finished Goods of $554,560 in Q4 2025, down 12.2% from $631,367 a year earlier.
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Analysis
Meihua International Medical Technologies (MHUAF) Finished Goods (2022 - 2025) Analysis & Trends
Starting with Q4 2022, Meihua International Medical Technologies' Finished Goods history includes 6 quarters.
- Annual Finished Goods has a three-year compound annual growth rate of -0.3% (FY2022 to FY2025).
- Across earlier years, Finished Goods came in at $631,367 in FY2024 (-39.8%), $1.05 million in FY2023 (+87.1%) and $560,119 in FY2022.
- Quarterly Finished Goods has ranged from $534,442 in Q2 2025 to $1.05 million in Q4 2023 over the past five years.
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 | 554,560.00 |
| Jun 30, 2025 | 534,442.00 |
| Dec 31, 2024 | 631,367.00 |
| Jun 30, 2024 | 562,571.00 |
| Dec 31, 2023 | 1.05 Mn |
| Dec 31, 2022 | 560,119.00 |
API Access
Meihua International Medical Technologies Finished Goods 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=finished-goods&ticker=MHUAF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "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=finished-goods&ticker=MHUAF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();