Dixie (DXYN) EBITDA (2010 - 2026)
Dixie's EBITDA was $4.36 million in Q2 2026, down 5.5% from $4.62 million a year earlier and down 5.7% from the prior quarter.
Dixie (DXYN) EBITDA (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Dixie's EBITDA was $8.74 million through Jun 27, 2026, up 345.9% year-over-year; for FY2025, it was $5.74 million, up 748.8% from FY2024.
- EBITDA shows a five-year compound annual growth rate of 2.5% (FY2020 to FY2025).
- In earlier years, EBITDA was $676,000 in FY2024 (-94.5%), $12.38 million in FY2023, -$20.53 million in FY2022 and $18.48 million in FY2021 (+265.0%).
- Quarterly EBITDA has moved between -$14.26 million (Q4 2022) and $9.19 million (Q3 2021) over five years.
- Compared with a year earlier, EBITDA was higher in three of the last four quarters, with growth averaging 88.5%.
- Per Business Quant data, DXYN's EBITDA in the three quarters before Q2 2026 was $4.63 million (Q1 2026), $359,000 (Q4 2025) and -$604,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 28.17 Bn | 25.83 Bn | 860.34 Mn | 219.37 Mn |
| 2 | Somnigroup International | 13.45 Bn | 12.99 Bn | 817.20 Mn | 265.70 Mn |
| 3 | Hni | 3.29 Bn | 2.86 Bn | 647.20 Mn | 158.30 Mn |
| 4 | Newell Brands | 2.39 Bn | 1.55 Bn | 812.00 Mn | 361.00 Mn |
| 5 | Sonos | 2.09 Bn | 990.24 Mn | 189.31 Mn | 42.60 Mn |
| 6 | Whirlpool | 1.75 Bn | -1.72 Bn | 442.00 Mn | 249.00 Mn |
| 7 | Arhaus | 1.57 Bn | 651.18 Mn | 172.07 Mn | 76.17 Mn |
| 8 | Corsair Gaming | 1.44 Bn | 969.73 Mn | 104.29 Mn | 20.07 Mn |
| 9 | Millerknoll | 1.43 Bn | 724.32 Mn | 385.30 Mn | 86.90 Mn |
| 10 | Dixie | 5.36 Mn | 3.26 Mn | 20.23 Mn | 4.36 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 4.36 Mn |
| Mar 28, 2026 | 4.63 Mn |
| Dec 27, 2025 | 359,000.00 |
| Sep 27, 2025 | -604,000.00 |
| Jun 28, 2025 | 4.62 Mn |
| Mar 29, 2025 | 1.36 Mn |
| Dec 28, 2024 | -3.65 Mn |
| Sep 28, 2024 | -375,000.00 |
| Jun 29, 2024 | 4.04 Mn |
| Mar 30, 2024 | 662,000.00 |
| Dec 30, 2023 | 7.76 Mn |
| Sep 30, 2023 | 820,000.00 |
| Jul 1, 2023 | 1.89 Mn |
| Apr 1, 2023 | 1.91 Mn |
| Dec 31, 2022 | -14.26 Mn |
| Sep 24, 2022 | -5.16 Mn |
| Jun 25, 2022 | -916,000.00 |
| Mar 26, 2022 | -197,000.00 |
| Dec 25, 2021 | -1.86 Mn |
| Sep 25, 2021 | 9.19 Mn |
Dixie EBITDA 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=ebitda&ticker=DXYN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=DXYN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();