Meiwu Technology (WNW) Operating Leases (2019 - 2025)
Meiwu Technology's Operating Leases came in at $17,758 for Q4 2025.
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Analysis
Meiwu Technology (WNW) Operating Leases (2019 - 2025) Analysis & Trends
Going back to Q4 2019, Meiwu Technology's Operating Leases data covers 11 quarters.
- Operating Leases carries a five-year compound annual growth rate of -42.1% (FY2020 to FY2025).
- Going back by year, Operating Leases was $119,434 in FY2023 (+11.1%), $107,467 in FY2022 (+463.6%) and $19,068 in FY2021 (-93.0%).
- The Q4 2025 figure represents the lowest quarterly Operating Leases in data going back to Q4 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Procter & Gamble | 387.18 Bn | 342.94 Bn | 10.28 Bn |
| 2 | Colgate Palmolive | 77.71 Bn | 72.44 Bn | 3.30 Bn |
| 3 | Estee Lauder Companies | 39.01 Bn | 27.08 Bn | 2.74 Bn |
| 4 | Kenvue | 38.07 Bn | 33.69 Bn | 2.30 Bn |
| 5 | Kimberly Clark | 37.24 Bn | 34.44 Bn | 1.60 Bn |
| 6 | Church & Dwight | 25.71 Bn | 24.24 Bn | 693.90 Mn |
| 7 | Clorox | 10.75 Bn | 9.02 Bn | 804.00 Mn |
| 8 | e.l.f. Beauty | 6.78 Bn | 5.75 Bn | 398.84 Mn |
| 9 | Reynolds Consumer Products | 4.95 Bn | 4.61 Bn | 245.00 Mn |
| 10 | Meiwu Technology | 48.09 Mn | -49.63 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 23,477.00 |
| Jun 30, 2025 | 125,259.00 |
| Jun 30, 2024 | 79,628.00 |
| Dec 31, 2023 | 20,613.00 |
| Jun 30, 2023 | 37,705.00 |
| Dec 31, 2022 | 144,163.00 |
| Jun 30, 2022 | 50,761.00 |
| Dec 31, 2021 | 19,068.00 |
| Jun 30, 2021 | 409,285.00 |
| Dec 31, 2020 | 545,879.00 |
| Dec 31, 2019 | 766,020.00 |
API Access
Meiwu Technology Operating Leases 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=operating-leases&ticker=WNW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=WNW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();