Dixie (DXYN) Total Liabilities (2010 - 2026)
Dixie (DXYN) reported Total Liabilities of $170.28 million for Q2 2026, down 1.3% from $172.58 million a year earlier but up 0.6% from the prior quarter.
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Analysis
Dixie (DXYN) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Dixie posted Total Liabilities of $166.36 million, up 4.2% from FY2024.
- Total Liabilities has a five-year compound annual growth rate of -0.4% (FY2020 to FY2025).
- By year, Total Liabilities came in at $159.65 million in FY2024 (-1.4%), $161.88 million in FY2023 (-5.6%), $171.43 million in FY2022 (+1.4%) and $169.12 million in FY2021 (-0.5%).
- Five-year quarterly Total Liabilities spans a low of $159.65 million in Q4 2024 and a high of $178.1 million in Q1 2023.
- Year over year, Total Liabilities gained in four of the last eight quarters, with growth averaging 0.1%.
- The high point for year-over-year Total Liabilities in five years was Q3 2022 (growth of 8.0%); the low point was Q2 2022 (a decline of 7.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $169.26 million (Q1 2026), $166.36 million (Q4 2025) and $172.16 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 28.10 Bn | 25.76 Bn | 860.34 Mn | 2.75 Bn |
| 2 | Somnigroup International | 13.42 Bn | 12.96 Bn | 817.20 Mn | 8.38 Bn |
| 3 | Hni | 3.31 Bn | 2.88 Bn | 647.20 Mn | 3.01 Bn |
| 4 | Newell Brands | 2.42 Bn | 1.58 Bn | 812.00 Mn | 8.61 Bn |
| 5 | Sonos | 2.06 Bn | 962.88 Mn | 189.31 Mn | 478.59 Mn |
| 6 | Whirlpool | 1.82 Bn | -1.65 Bn | 442.00 Mn | 13.39 Bn |
| 7 | Arhaus | 1.52 Bn | 596.72 Mn | 172.07 Mn | 1.04 Bn |
| 8 | Millerknoll | 1.47 Bn | 771.78 Mn | 385.30 Mn | 2.65 Bn |
| 9 | Corsair Gaming | 1.41 Bn | 938.61 Mn | 104.29 Mn | 551.41 Mn |
| 10 | Dixie | 5.36 Mn | 3.26 Mn | 20.23 Mn | 170.28 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 170.28 Mn |
| Mar 28, 2026 | 169.26 Mn |
| Dec 27, 2025 | 166.36 Mn |
| Sep 27, 2025 | 172.16 Mn |
| Jun 28, 2025 | 172.58 Mn |
| Mar 29, 2025 | 170.83 Mn |
| Dec 28, 2024 | 159.65 Mn |
| Sep 28, 2024 | 171.43 Mn |
| Jun 29, 2024 | 171.19 Mn |
| Mar 30, 2024 | 172.75 Mn |
| Dec 30, 2023 | 161.88 Mn |
| Sep 30, 2023 | 171.21 Mn |
| Jul 1, 2023 | 173.21 Mn |
| Apr 1, 2023 | 178.10 Mn |
| Dec 31, 2022 | 171.43 Mn |
| Sep 24, 2022 | 175.88 Mn |
| Jun 25, 2022 | 167.81 Mn |
| Mar 26, 2022 | 165.85 Mn |
| Dec 25, 2021 | 169.12 Mn |
| Sep 25, 2021 | 162.80 Mn |
API Access
Dixie Total Liabilities 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=total-liabilities&ticker=DXYN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=DXYN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();