Dixie (DXYN) Revenue (2010 - 2026)
Dixie (DXYN) posted Revenue of $68.61 million for Q2 2026, up 0.1% from $68.57 million a year earlier and up 15.6% from the prior quarter.
Dixie (DXYN) Revenue (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 27, 2026, Revenue at Dixie was $253.86 million, down 2.7% year-over-year; for FY2025, it was $257.43 million, down 2.9% from FY2024.
- Annual Revenue has declined for four consecutive years, though with a five-year compound annual growth rate of 0.5% (FY2020 to FY2025).
- In prior years, Dixie's Revenue was $265.03 million in FY2024 (-4.1%), $276.34 million in FY2023 (-9.0%), $303.57 million in FY2022 (-11.0%) and $341.25 million in FY2021 (+36.0%).
- The Q2 2026 figure stands as the highest quarterly Revenue since Q2 2024.
- On a year-over-year basis, Revenue increased in 1 of the last eight quarters, with an average decline of 3.2%.
- The strongest year-over-year quarter for Revenue in the past five years was Q3 2021, with growth of 27.5%; the weakest was Q4 2022, with a decline of 20.9%.
- According to Business Quant data, Revenue for the three prior quarters was $59.38 million (Q1 2026), $63.49 million (Q4 2025) and $62.38 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 26.80 Bn | 24.47 Bn | 860.34 Mn | 1.77 Bn |
| 2 | Somnigroup International | 13.22 Bn | 12.76 Bn | 817.20 Mn | 1.82 Bn |
| 3 | Hni | 3.33 Bn | 2.90 Bn | 647.20 Mn | 1.47 Bn |
| 4 | Newell Brands | 2.36 Bn | 1.52 Bn | 812.00 Mn | 1.99 Bn |
| 5 | Sonos | 2.01 Bn | 912.92 Mn | 189.31 Mn | 375.26 Mn |
| 6 | Whirlpool | 1.72 Bn | -1.75 Bn | 442.00 Mn | 3.52 Bn |
| 7 | Millerknoll | 1.45 Bn | 747.53 Mn | 385.30 Mn | 923.40 Mn |
| 8 | Arhaus | 1.44 Bn | 521.74 Mn | 172.07 Mn | 384.90 Mn |
| 9 | Corsair Gaming | 1.40 Bn | 928.63 Mn | 104.29 Mn | 314.34 Mn |
| 10 | Dixie | 5.36 Mn | 3.26 Mn | 20.23 Mn | 68.61 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 68.61 Mn |
| Mar 28, 2026 | 59.38 Mn |
| Dec 27, 2025 | 63.49 Mn |
| Sep 27, 2025 | 62.38 Mn |
| Jun 28, 2025 | 68.57 Mn |
| Mar 29, 2025 | 62.99 Mn |
| Dec 28, 2024 | 64.39 Mn |
| Sep 28, 2024 | 64.88 Mn |
| Jun 29, 2024 | 70.51 Mn |
| Mar 30, 2024 | 65.25 Mn |
| Dec 30, 2023 | 66.67 Mn |
| Sep 30, 2023 | 68.58 Mn |
| Jul 1, 2023 | 74.01 Mn |
| Apr 1, 2023 | 67.08 Mn |
| Dec 31, 2022 | 70.54 Mn |
| Sep 24, 2022 | 71.76 Mn |
| Jun 25, 2022 | 83.70 Mn |
| Mar 26, 2022 | 77.58 Mn |
| Dec 25, 2021 | 89.23 Mn |
| Sep 25, 2021 | 89.29 Mn |
Dixie Revenue 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=revenue&ticker=DXYN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=DXYN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();