Meiwu Technology (WNW) Property, Plant & Equipment (Net) (2019 - 2024)
Meiwu Technology's Property, Plant & Equipment (Net) came in at $58,112 for Q2 2024, down 52.2% from $121,453 a year earlier.
Analysis
Meiwu Technology (WNW) Property, Plant & Equipment (Net) (2019 - 2024) Analysis & Trends
At the end of FY2023, Meiwu Technology's Property, Plant & Equipment (Net) was $76,470, down 58.3% from FY2022.
- Property, Plant & Equipment (Net) has declined in each of the last four years, with a four-year compound annual growth rate of -30.5% (FY2019 to FY2023).
- Going back by year, Property, Plant & Equipment (Net) was $183,386 in FY2022 (-34.4%), $279,518 in FY2021 (-7.1%), $300,966 in FY2020 (-8.2%) and $328,021 in FY2019.
- The Q2 2024 figure represents the lowest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 373.44 Bn | 325.24 Bn | 11.60 Bn | 25.52 Bn |
| 2 | Colgate Palmolive | 74.95 Bn | 70.01 Bn | 3.30 Bn | 4.64 Bn |
| 3 | Estee Lauder Companies | 39.37 Bn | 27.45 Bn | 2.74 Bn | 2.81 Bn |
| 4 | Kenvue | 37.58 Bn | 33.19 Bn | 2.30 Bn | 2.23 Bn |
| 5 | Kimberly Clark | 36.64 Bn | 33.96 Bn | 1.60 Bn | 6.95 Bn |
| 6 | Church & Dwight | 24.96 Bn | 23.48 Bn | 693.90 Mn | 826.50 Mn |
| 7 | Clorox | 10.45 Bn | 8.89 Bn | 804.00 Mn | 1.51 Bn |
| 8 | e.l.f. Beauty | 6.73 Bn | 5.70 Bn | 398.84 Mn | 39.69 Mn |
| 9 | Reynolds Consumer Products | 4.85 Bn | 4.52 Bn | 245.00 Mn | 855.00 Mn |
| 10 | Meiwu Technology | 47.08 Mn | -50.63 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2024 | 58,112.00 |
| Dec 31, 2023 | 76,470.00 |
| Jun 30, 2023 | 121,453.00 |
| Dec 31, 2022 | 183,386.00 |
| Jun 30, 2022 | 237,639.00 |
| Dec 31, 2021 | 279,518.00 |
| Jun 30, 2021 | 310,848.00 |
| Dec 31, 2020 | 300,966.00 |
| Dec 31, 2019 | 328,021.00 |
API Access
Meiwu Technology Property, Plant & Equipment (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=property-plant-and-equipment-net&ticker=WNW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "WNW", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=property-plant-and-equipment-net&ticker=WNW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();