Meihua International Medical Technologies (MHUAF) Land & Improvements (2020 - 2023)
Meihua International Medical Technologies (MHUAF) posted Land & Improvements of $90,322 for Q2 2023.
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Analysis
Meihua International Medical Technologies (MHUAF) Land & Improvements (2020 - 2023) Analysis & Trends
At the end of FY2022, Meihua International Medical Technologies' Land & Improvements came in at $96,416, down 67.3% from FY2021.
- In prior years, Meihua International Medical Technologies' Land & Improvements was $294,582 in FY2021 (+56.8%) and $187,913 in FY2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (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 | 1.81 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 183.00 Mn |
| 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 |
|---|---|
| Jun 30, 2023 | 90,322.00 |
| Dec 31, 2022 | 96,416.00 |
| Dec 31, 2021 | 294,582.00 |
| Dec 31, 2020 | 187,913.00 |
API Access
Meihua International Medical Technologies Land & Improvements 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=land-and-improvements&ticker=MHUAF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "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=land-and-improvements&ticker=MHUAF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();