AiXin Life International (AIXN) Accumulated Expenses (2018 - 2019)
AiXin Life International's Accumulated Expenses was $6,323 in Q1 2019, down 93.1% from $91,975 a year earlier but up 2.7% from the prior quarter.
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Analysis
AiXin Life International (AIXN) Accumulated Expenses (2018 - 2019) Analysis & Trends
At the end of FY2018, Accumulated Expenses at AiXin Life International came in at $6,156, down 93.1% from FY2017.
- In earlier years, Accumulated Expenses was $88,864 in FY2017 (-22.5%) and $114,726 in FY2016.
- Quarterly Accumulated Expenses has moved between $6,156 (Q4 2018) and $91,975 (Q1 2018) over five years.
- Per Business Quant data, AIXN's Accumulated Expenses in the three quarters before Q1 2019 was $6,156 (Q4 2018), $84,178 (Q3 2018) and $87,310 (Q2 2018).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Procter & Gamble | 337.81 Bn | 293.80 Bn | 10.28 Bn |
| 2 | Colgate Palmolive | 68.01 Bn | 63.06 Bn | 3.30 Bn |
| 3 | Kenvue | 33.93 Bn | 29.54 Bn | 2.30 Bn |
| 4 | Estee Lauder Companies | 33.63 Bn | 21.70 Bn | 2.74 Bn |
| 5 | Kimberly Clark | 32.41 Bn | 29.73 Bn | 1.60 Bn |
| 6 | Church & Dwight | 22.35 Bn | 20.88 Bn | 693.90 Mn |
| 7 | Clorox | 9.80 Bn | 8.24 Bn | 804.00 Mn |
| 8 | e.l.f. Beauty | 5.95 Bn | 4.92 Bn | 398.84 Mn |
| 9 | Reynolds Consumer Products | 4.56 Bn | 4.22 Bn | 245.00 Mn |
| 10 | AiXin Life International | 6.50 Mn | 6.37 Mn | 215,023.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2019 | 6,323.00 |
| Dec 31, 2018 | 6,156.00 |
| Sep 30, 2018 | 84,178.00 |
| Jun 30, 2018 | 87,310.00 |
| Mar 31, 2018 | 91,975.00 |
API Access
AiXin Life International 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=accumulated-expenses&ticker=AIXN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "AIXN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=AIXN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();