Meihua International Medical Technologies (MHUAF) Work In Process (2022 - 2025)
Meihua International Medical Technologies (MHUAF) recorded Work In Process of $25,216 in Q4 2025, up 463.9% from $4,472 a year earlier.
Analysis
Meihua International Medical Technologies (MHUAF) Work In Process (2022 - 2025) Analysis & Trends
Starting with Q4 2022, Meihua International Medical Technologies' Work In Process history includes 6 quarters.
- Annual Work In Process has a three-year compound annual growth rate of -58.1% (FY2022 to FY2025).
- Across earlier years, Work In Process came in at $4,472 in FY2024 (+88.2%), $2,376 in FY2023 (-99.3%) and $343,795 in FY2022.
- Quarterly Work In Process has ranged from $2,376 in Q4 2023 to $343,795 in Q4 2022 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 | 25,216.00 |
| Jun 30, 2025 | 122,057.00 |
| Dec 31, 2024 | 4,472.00 |
| Jun 30, 2024 | 101,647.00 |
| Dec 31, 2023 | 2,376.00 |
| Dec 31, 2022 | 343,795.00 |
API Access
Meihua International Medical Technologies Work In Process 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=work-in-process&ticker=MHUAF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "work-in-process", "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=work-in-process&ticker=MHUAF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();