XMax (XMAX) Liabilities from Discontinued Operations (2015 - 2018)
XMax's Liabilities from Discontinued Operations was $1.1 million in Q4 2018, up 515.0% from $178,307 a year earlier and up 177.9% from the prior quarter.
XMax (XMAX) Liabilities from Discontinued Operations (2015 - 2018) Analysis & Trends
From Q4 2015 onward, XMax has reported Liabilities from Discontinued Operations for 7 quarters.
- Liabilities from Discontinued Operations shows a three-year compound annual growth rate of -38.6% (FY2015 to FY2018).
- In earlier years, Liabilities from Discontinued Operations was $178,307 in FY2017 and $4.73 million in FY2015.
- The Q4 2018 figure marks the highest quarterly Liabilities from Discontinued Operations since Q3 2016.
- Per Business Quant data, XMAX's Liabilities from Discontinued Operations in the three quarters before Q4 2018 was $394,562 (Q3 2018), $324,892 (Q2 2018) and $393,861 (Q1 2018).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | SharkNinja | 32.04 Bn | 29.48 Bn | 1.17 Bn |
| 2 | Somnigroup International | 13.90 Bn | 13.44 Bn | 817.20 Mn |
| 3 | Hni | 3.58 Bn | 3.07 Bn | 678.50 Mn |
| 4 | Newell Brands | 2.48 Bn | 1.62 Bn | 649.00 Mn |
| 5 | Arhaus | 2.13 Bn | 1.22 Bn | 172.07 Mn |
| 6 | Whirlpool | 2.05 Bn | -1.59 Bn | 473.00 Mn |
| 7 | Sonos | 1.98 Bn | 877.82 Mn | 189.31 Mn |
| 8 | Cricut | 1.84 Bn | 745.48 Mn | 108.88 Mn |
| 9 | Millerknoll | 1.55 Bn | 843.84 Mn | 385.30 Mn |
| 10 | XMax | 349.54 Mn | 296.58 Mn | 1.09 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | 1.10 Mn |
| Sep 30, 2018 | 394,562.00 |
| Jun 30, 2018 | 324,892.00 |
| Mar 31, 2018 | 393,861.00 |
| Dec 31, 2017 | 178,307.00 |
| Sep 30, 2016 | 10.89 Mn |
| Dec 31, 2015 | 4.73 Mn |
XMax Liabilities from Discontinued Operations 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=liabilities-from-discontinued-operations&ticker=XMAX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "liabilities-from-discontinued-operations", "ticker": "XMAX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=liabilities-from-discontinued-operations&ticker=XMAX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();