Meiwu Technology (WNW) Other Accumulated Expenses (2019 - 2025)
Meiwu Technology (WNW) reported Other Accumulated Expenses of $3.01 million for Q4 2025, compared with $94,408 a year earlier.
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Analysis
Meiwu Technology (WNW) Other Accumulated Expenses (2019 - 2025) Analysis & Trends
Dating back to Q4 2019, Meiwu Technology's Other Accumulated Expenses record includes 12 quarters.
- Other Accumulated Expenses has a five-year compound annual growth rate of -5.5% (FY2020 to FY2025).
- By year, Other Accumulated Expenses came in at $94,408 in FY2024 (-93.5%), $1.46 million in FY2023, $56,625 in FY2022 (-96.2%) and $1.47 million in FY2021 (-63.1%).
- The Q4 2025 figure ranks as the highest quarterly Other Accumulated Expenses in data going back to Q4 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Procter & Gamble | 336.76 Bn | 292.75 Bn | 10.28 Bn |
| 2 | Colgate Palmolive | 67.18 Bn | 62.24 Bn | 3.30 Bn |
| 3 | Estee Lauder Companies | 33.32 Bn | 21.40 Bn | 2.74 Bn |
| 4 | Kenvue | 33.09 Bn | 28.70 Bn | 2.30 Bn |
| 5 | Kimberly Clark | 31.38 Bn | 28.71 Bn | 1.60 Bn |
| 6 | Church & Dwight | 22.37 Bn | 20.90 Bn | 693.90 Mn |
| 7 | Clorox | 9.72 Bn | 8.16 Bn | 804.00 Mn |
| 8 | e.l.f. Beauty | 6.17 Bn | 5.15 Bn | 398.84 Mn |
| 9 | Reynolds Consumer Products | 4.71 Bn | 4.37 Bn | 245.00 Mn |
| 10 | Meiwu Technology | 52.83 Mn | -33.40 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 3.01 Mn |
| Jun 30, 2025 | 802,380.00 |
| Dec 31, 2024 | 94,408.00 |
| Jun 30, 2024 | 63,992.00 |
| Dec 31, 2023 | 1.46 Mn |
| Jun 30, 2023 | 801,374.00 |
| Dec 31, 2022 | 56,625.00 |
| Jun 30, 2022 | -414,750.00 |
| Dec 31, 2021 | 151,477.00 |
| Jun 30, 2021 | -1.53 Mn |
| Dec 31, 2020 | 118,966.00 |
| Dec 31, 2019 | 1.88 Mn |
API Access
Meiwu Technology Other Accumulated Expenses 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=other-accumulated-expenses&ticker=WNW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=WNW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();