Dixie (DXYN) Total Non-Current Liabilities (2010 - 2026)
Dixie (DXYN) recorded Total Non-Current Liabilities of $154.48 million in Q2 2026, down 1.3% from $156.48 million a year earlier and down 0.5% from the prior quarter.
Dixie (DXYN) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Dixie reported Total Non-Current Liabilities of $149.71 million, up 4.7% from FY2024.
- Annual Total Non-Current Liabilities has a five-year compound annual growth rate of -0.3% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $142.94 million in FY2024 (-3.0%), $147.29 million in FY2023 (-7.3%), $158.95 million in FY2022 (+3.8%) and $153.09 million in FY2021 (+0.5%).
- Quarterly Total Non-Current Liabilities has ranged from $142.94 million in Q4 2024 to $165.05 million in Q1 2023 over the past five years.
- On a year-over-year basis, Total Non-Current Liabilities rose in three of the last eight quarters, with an average decline of 0.2%.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 12.7% in Q3 2022, against a decline of 7.3% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $155.19 million (Q1 2026), $149.71 million (Q4 2025) and $156.02 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 28.10 Bn | 25.76 Bn | 860.34 Mn | 2.70 Bn |
| 2 | Somnigroup International | 13.42 Bn | 12.96 Bn | 817.20 Mn | 8.25 Bn |
| 3 | Hni | 3.31 Bn | 2.88 Bn | 647.20 Mn | 2.82 Bn |
| 4 | Newell Brands | 2.42 Bn | 1.58 Bn | 812.00 Mn | 7.88 Bn |
| 5 | Sonos | 2.06 Bn | 962.88 Mn | 189.31 Mn | 475.62 Mn |
| 6 | Whirlpool | 1.82 Bn | -1.65 Bn | 442.00 Mn | 8.39 Bn |
| 7 | Arhaus | 1.52 Bn | 596.72 Mn | 172.07 Mn | 1.03 Bn |
| 8 | Millerknoll | 1.47 Bn | 771.78 Mn | 385.30 Mn | 2.47 Bn |
| 9 | Corsair Gaming | 1.41 Bn | 938.61 Mn | 104.29 Mn | 500.41 Mn |
| 10 | Dixie | 5.36 Mn | 3.26 Mn | 20.23 Mn | 154.48 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 154.48 Mn |
| Mar 28, 2026 | 155.19 Mn |
| Dec 27, 2025 | 149.71 Mn |
| Sep 27, 2025 | 156.02 Mn |
| Jun 28, 2025 | 156.48 Mn |
| Mar 29, 2025 | 155.36 Mn |
| Dec 28, 2024 | 142.94 Mn |
| Sep 28, 2024 | 154.97 Mn |
| Jun 29, 2024 | 155.34 Mn |
| Mar 30, 2024 | 157.25 Mn |
| Dec 30, 2023 | 147.29 Mn |
| Sep 30, 2023 | 158.14 Mn |
| Jul 1, 2023 | 159.55 Mn |
| Apr 1, 2023 | 165.05 Mn |
| Dec 31, 2022 | 158.95 Mn |
| Sep 24, 2022 | 164.03 Mn |
| Jun 25, 2022 | 155.14 Mn |
| Mar 26, 2022 | 151.47 Mn |
| Dec 25, 2021 | 153.09 Mn |
| Sep 25, 2021 | 145.54 Mn |
Dixie Total Non-Current 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-non-current-liabilities&ticker=DXYN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=DXYN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();