Dixie (DXYN) Price to Earnings (2011 - 2022)
Dixie's (DXYN) Price to Earnings came in at 178.66 for Q1 2022, up 246.7% from the prior quarter.
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Analysis
Dixie (DXYN) Price to Earnings (2011 - 2022) Analysis & Trends
For FY2021, Dixie's Price to Earnings stood at 51.54.
- In prior years, Dixie's Price to Earnings was 1.13 in FY2019.
- The Q1 2022 figure stands as the highest quarterly Price to Earnings since Q1 2012.
- According to Business Quant data, Price to Earnings for the three prior quarters was 51.54 (Q4 2021), 10.26 (Q3 2021) and 22.00 (Q2 2021).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | SharkNinja | 27.56 Bn | 25.22 Bn | 860.34 Mn |
| 2 | Somnigroup International | 13.43 Bn | 12.97 Bn | 817.20 Mn |
| 3 | Hni | 3.39 Bn | 2.96 Bn | 647.20 Mn |
| 4 | Newell Brands | 2.35 Bn | 1.51 Bn | 812.00 Mn |
| 5 | Sonos | 2.08 Bn | 980.72 Mn | 189.31 Mn |
| 6 | Whirlpool | 1.79 Bn | -1.67 Bn | 442.00 Mn |
| 7 | Arhaus | 1.61 Bn | 695.04 Mn | 172.07 Mn |
| 8 | Corsair Gaming | 1.46 Bn | 986.92 Mn | 104.29 Mn |
| 9 | Millerknoll | 1.46 Bn | 754.11 Mn | 385.30 Mn |
| 10 | Dixie | 5.08 Mn | 2.98 Mn | 20.23 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 26, 2022 | 178.66 |
| Dec 25, 2021 | 51.54 |
| Sep 25, 2021 | 10.26 |
| Jun 26, 2021 | 22.00 |
| Sep 26, 2020 | 0.75 |
| Jun 27, 2020 | 0.95 |
| Mar 28, 2020 | 0.56 |
| Dec 28, 2019 | 1.13 |
| Sep 27, 2014 | 24.26 |
| Jun 28, 2014 | 22.69 |
| Mar 29, 2014 | 21.23 |
| Dec 28, 2013 | 28.47 |
| Sep 28, 2013 | 43.45 |
| Jun 29, 2013 | 52.33 |
| Mar 31, 2012 | 267.98 |
| Dec 31, 2011 | 35.91 |
| Oct 1, 2011 | 19.44 |
| Jul 2, 2011 | 6,402.69 |
API Access
Dixie 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=DXYN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "DXYN", "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=DXYN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();