Meihua International Medical Technologies (MHUAF) Receivables - Net (2020 - 2025)
Meihua International Medical Technologies (MHUAF) posted Receivables - Net of $85.82 million for Q4 2025, up 8.1% from $79.39 million a year earlier.
Meihua International Medical Technologies (MHUAF) Receivables - Net (2020 - 2025) Analysis & Trends
Since Q4 2020, Meihua International Medical Technologies has reported Receivables - Net for 9 quarters.
- Annual Receivables - Net has increased for five consecutive years, with a five-year compound annual growth rate of 13.4% (FY2020 to FY2025).
- In prior years, Meihua International Medical Technologies' Receivables - Net was $79.39 million in FY2024 (+0.5%), $79.03 million in FY2023 (+14.6%), $68.95 million in FY2022 (+2.7%) and $67.1 million in FY2021 (+46.8%).
- Quarterly Receivables - Net has run from a low of $67.1 million in Q4 2021 to a high of $87.8 million in Q2 2025 over five years.
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
| Date | Value |
|---|---|
| Dec 31, 2025 | 85.82 Mn |
| Jun 30, 2025 | 87.80 Mn |
| Dec 31, 2024 | 79.39 Mn |
| Jun 30, 2024 | 83.35 Mn |
| Dec 31, 2023 | 79.03 Mn |
| Jun 30, 2023 | 79.05 Mn |
| Dec 31, 2022 | 68.95 Mn |
| Dec 31, 2021 | 67.10 Mn |
| Dec 31, 2020 | 45.70 Mn |
Meihua International Medical Technologies Receivables - Net 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=receivables-net&ticker=MHUAF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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=receivables-net&ticker=MHUAF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();