Dixie (DXYN) Total Current Liabilities (2010 - 2026)
Dixie (DXYN) posted Total Current Liabilities of $107.51 million for Q2 2026, up 3.1% from $104.28 million a year earlier but down 0.8% from the prior quarter.
Dixie (DXYN) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Dixie's Total Current Liabilities came in at $101.09 million, up 13.9% from FY2024.
- Annual Total Current Liabilities shows a five-year compound annual growth rate of 12.8% (FY2020 to FY2025).
- In prior years, Dixie's Total Current Liabilities was $88.72 million in FY2024 (+124.3%), $39.55 million in FY2023 (-5.1%), $41.67 million in FY2022 (-23.1%) and $54.21 million in FY2021 (-2.0%).
- Quarterly Total Current Liabilities has run from a low of $39.55 million in Q4 2023 to a high of $108.34 million in Q1 2026 over five years.
- On a year-over-year basis, Total Current Liabilities has increased in each of the last seven quarters, with growth averaging 66.4% over the last eight quarters.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was Q3 2025, with growth of 137.9%; the weakest was Q2 2022, with a decline of 28.0%.
- According to Business Quant data, Total Current Liabilities for the three prior quarters was $108.34 million (Q1 2026), $101.09 million (Q4 2025) and $105.62 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 28.02 Bn | 25.69 Bn | 860.34 Mn | 1.81 Bn |
| 2 | Somnigroup International | 13.26 Bn | 12.80 Bn | 817.20 Mn | 1.72 Bn |
| 3 | Hni | 3.26 Bn | 2.83 Bn | 647.20 Mn | 1.04 Bn |
| 4 | Newell Brands | 2.37 Bn | 1.52 Bn | 812.00 Mn | 2.89 Bn |
| 5 | Sonos | 2.08 Bn | 977.15 Mn | 189.31 Mn | 366.80 Mn |
| 6 | Whirlpool | 1.72 Bn | -1.75 Bn | 442.00 Mn | 5.01 Bn |
| 7 | Arhaus | 1.55 Bn | 631.38 Mn | 172.07 Mn | 484.36 Mn |
| 8 | Corsair Gaming | 1.48 Bn | 1.01 Bn | 104.29 Mn | 369.15 Mn |
| 9 | Millerknoll | 1.41 Bn | 705.96 Mn | 385.30 Mn | 692.30 Mn |
| 10 | Dixie | 5.08 Mn | 2.98 Mn | 20.23 Mn | 107.51 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 107.51 Mn |
| Mar 28, 2026 | 108.34 Mn |
| Dec 27, 2025 | 101.09 Mn |
| Sep 27, 2025 | 105.62 Mn |
| Jun 28, 2025 | 104.28 Mn |
| Mar 29, 2025 | 103.76 Mn |
| Dec 28, 2024 | 88.72 Mn |
| Sep 28, 2024 | 44.40 Mn |
| Jun 29, 2024 | 44.81 Mn |
| Mar 30, 2024 | 47.94 Mn |
| Dec 30, 2023 | 39.55 Mn |
| Sep 30, 2023 | 45.14 Mn |
| Jul 1, 2023 | 46.61 Mn |
| Apr 1, 2023 | 43.81 Mn |
| Dec 31, 2022 | 41.67 Mn |
| Sep 24, 2022 | 48.97 Mn |
| Jun 25, 2022 | 48.39 Mn |
| Mar 26, 2022 | 48.95 Mn |
| Dec 25, 2021 | 54.21 Mn |
| Sep 25, 2021 | 65.83 Mn |
Dixie Total 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-current-liabilities&ticker=DXYN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=DXYN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();