Dixie (DXYN) Liabilities from Discontinued Operations (2020 - 2026)
Dixie (DXYN) posted Liabilities from Discontinued Operations of $3.41 million for Q2 2026, down 2.0% from $3.48 million a year earlier but up 4.2% from the prior quarter.
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Analysis
Dixie (DXYN) Liabilities from Discontinued Operations (2020 - 2026) Analysis & Trends
At the end of FY2025, Dixie's Liabilities from Discontinued Operations came in at $3.32 million, down 2.3% from FY2024.
- Annual Liabilities from Discontinued Operations has declined for five consecutive years, with a five-year compound annual growth rate of -12.0% (FY2020 to FY2025).
- In prior years, Dixie's Liabilities from Discontinued Operations was $3.4 million in FY2024 (-3.9%), $3.54 million in FY2023 (-5.9%), $3.76 million in FY2022 (-16.2%) and $4.49 million in FY2021 (-28.9%).
- Quarterly Liabilities from Discontinued Operations has run from a low of $3.27 million in Q1 2026 to a high of $5.7 million in Q3 2021 over five years.
- On a year-over-year basis, Liabilities from Discontinued Operations has declined in each of the last 11 quarters, with an average decline of 3.4% over the last eight quarters.
- The strongest year-over-year quarter for Liabilities from Discontinued Operations in the past five years was Q3 2023, with growth of 1.9%; the weakest was Q3 2022, with a decline of 37.6%.
- According to Business Quant data, Liabilities from Discontinued Operations for the three prior quarters was $3.27 million (Q1 2026), $3.32 million (Q4 2025) and $3.44 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | SharkNinja | 28.25 Bn | 25.92 Bn | 860.34 Mn |
| 2 | Somnigroup International | 13.85 Bn | 13.39 Bn | 817.20 Mn |
| 3 | Hni | 3.46 Bn | 3.02 Bn | 647.20 Mn |
| 4 | Newell Brands | 2.43 Bn | 1.59 Bn | 812.00 Mn |
| 5 | Sonos | 2.11 Bn | 1.01 Bn | 189.31 Mn |
| 6 | Whirlpool | 1.88 Bn | -1.59 Bn | 442.00 Mn |
| 7 | Arhaus | 1.63 Bn | 711.30 Mn | 172.07 Mn |
| 8 | Millerknoll | 1.49 Bn | 787.02 Mn | 385.30 Mn |
| 9 | Corsair Gaming | 1.45 Bn | 981.55 Mn | 104.29 Mn |
| 10 | Dixie | 5.08 Mn | 2.98 Mn | 20.23 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 3.41 Mn |
| Mar 28, 2026 | 3.27 Mn |
| Dec 27, 2025 | 3.32 Mn |
| Sep 27, 2025 | 3.44 Mn |
| Jun 28, 2025 | 3.48 Mn |
| Mar 29, 2025 | 3.38 Mn |
| Dec 28, 2024 | 3.40 Mn |
| Sep 28, 2024 | 3.62 Mn |
| Jun 29, 2024 | 3.63 Mn |
| Mar 30, 2024 | 3.62 Mn |
| Dec 30, 2023 | 3.54 Mn |
| Sep 30, 2023 | 3.63 Mn |
| Jul 1, 2023 | 3.85 Mn |
| Apr 1, 2023 | 3.81 Mn |
| Dec 31, 2022 | 3.76 Mn |
| Sep 24, 2022 | 3.56 Mn |
| Jun 25, 2022 | 3.83 Mn |
| Mar 26, 2022 | 4.13 Mn |
| Dec 25, 2021 | 4.49 Mn |
| Sep 25, 2021 | 5.70 Mn |
API Access
Dixie 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=DXYN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "liabilities-from-discontinued-operations", "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=liabilities-from-discontinued-operations&ticker=DXYN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();