XMax (XMAX) Price to Earnings (2011 - 2026)
XMax's (XMAX) Price to Earnings came in at 19.53 for Q2 2026.
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Analysis
XMax (XMAX) Price to Earnings (2011 - 2026) Analysis & Trends
For FY2018, XMax's Price to Earnings stood at 61.99, down 86.2% from FY2017.
- In prior years, XMax's Price to Earnings was 449.32 in FY2017, 496.05 in FY2015 (+189.1%) and 171.61 in FY2014 (-61.4%).
- The Q2 2026 figure stands as the highest quarterly Price to Earnings in data going back to Q4 2011.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | SharkNinja | 28.06 Bn | 25.73 Bn | 860.34 Mn |
| 2 | Somnigroup International | 13.89 Bn | 13.44 Bn | 817.20 Mn |
| 3 | Hni | 3.48 Bn | 3.05 Bn | 647.20 Mn |
| 4 | Newell Brands | 2.44 Bn | 1.60 Bn | 812.00 Mn |
| 5 | Sonos | 2.09 Bn | 992.71 Mn | 189.31 Mn |
| 6 | Whirlpool | 1.87 Bn | -1.61 Bn | 442.00 Mn |
| 7 | Arhaus | 1.63 Bn | 712.01 Mn | 172.07 Mn |
| 8 | Millerknoll | 1.49 Bn | 853.64 Mn | 385.30 Mn |
| 9 | Corsair Gaming | 1.48 Bn | 1.02 Bn | 104.29 Mn |
| 10 | XMax | 560.78 Mn | 507.82 Mn | 1.09 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 19.53 |
| Sep 30, 2019 | 210.77 |
| Jun 30, 2019 | 240.30 |
| Mar 31, 2019 | 180.47 |
| Dec 31, 2018 | 61.99 |
| Sep 30, 2018 | 310.73 |
| Jun 30, 2018 | 159.48 |
| Mar 31, 2018 | 230.55 |
| Dec 31, 2017 | 449.32 |
| Sep 30, 2017 | 785.92 |
| Sep 30, 2016 | 5,875.55 |
| Jun 30, 2016 | 2,122.68 |
| Mar 31, 2016 | 1,066.12 |
| Dec 31, 2015 | 496.05 |
| Sep 30, 2015 | 418.77 |
| Jun 30, 2015 | 176.76 |
| Mar 31, 2015 | 132.52 |
| Dec 31, 2014 | 171.61 |
| Sep 30, 2014 | 277.32 |
| Jun 30, 2014 | 392.96 |
API Access
XMax Price to Earnings 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=price-to-earnings&ticker=XMAX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=XMAX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();