Dixie (DXYN) Long-Term Debt Repayments (2010 - 2026)
Dixie (DXYN) recorded Long-Term Debt Repayments of $71.86 million in Q2 2026, up 46.9% from $48.93 million a year earlier and up 17.6% from the prior quarter.
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Analysis
Dixie (DXYN) Long-Term Debt Repayments (2010 - 2026) Analysis & Trends
On a TTM basis, Dixie's Long-Term Debt Repayments came in at $299.12 million as of Jun 27, 2026, up 298.4% year-over-year; for FY2025, it came in at $240.07 million.
- Annual Long-Term Debt Repayments has a five-year compound annual growth rate of 119.1% (FY2020 to FY2025).
- Across earlier years, Long-Term Debt Repayments came in at $2.59 million in FY2024 (-77.3%), $11.42 million in FY2023 (+91.5%), $5.97 million in FY2022 (+53.6%) and $3.88 million in FY2021 (-18.4%).
- Quarterly Long-Term Debt Repayments has ranged from $113,000 in Q2 2022 to $94.15 million in Q4 2025 over the past five years.
- On a year-over-year basis, Long-Term Debt Repayments rose in three of the last four quarters, with growth averaging 27.7%.
- Peak year-over-year performance for Long-Term Debt Repayments in the last five years was growth of 508.6% in Q1 2022, against a decline of 94.3% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $61.1 million (Q1 2026), $94.15 million (Q4 2025) and $72.02 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 26.80 Bn | 24.47 Bn | 860.34 Mn | 10.13 Mn |
| 2 | Somnigroup International | 13.22 Bn | 12.76 Bn | 817.20 Mn | - |
| 3 | Hni | 3.33 Bn | 2.90 Bn | 647.20 Mn | 199.30 Mn |
| 4 | Newell Brands | 2.36 Bn | 1.52 Bn | 812.00 Mn | - |
| 5 | Sonos | 2.01 Bn | 912.92 Mn | 189.31 Mn | - |
| 6 | Whirlpool | 1.72 Bn | -1.75 Bn | 442.00 Mn | - |
| 7 | Millerknoll | 1.45 Bn | 747.53 Mn | 385.30 Mn | 277.00 Mn |
| 8 | Arhaus | 1.44 Bn | 521.74 Mn | 172.07 Mn | 241,000.00 |
| 9 | Corsair Gaming | 1.40 Bn | 928.63 Mn | 104.29 Mn | 1.56 Mn |
| 10 | Dixie | 5.36 Mn | 3.26 Mn | 20.23 Mn | 72.92 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 72.92 Mn |
| Mar 28, 2026 | 62.22 Mn |
| Dec 27, 2025 | 95.11 Mn |
| Sep 27, 2025 | 72.97 Mn |
| Jun 28, 2025 | 50.02 Mn |
| Mar 29, 2025 | 26.05 Mn |
| Dec 28, 2024 | 1.12 Mn |
| Sep 28, 2024 | 1.15 Mn |
| Jun 29, 2024 | 1.09 Mn |
| Mar 30, 2024 | 1.22 Mn |
| Dec 30, 2023 | 11.52 Mn |
| Sep 30, 2023 | 784,000.00 |
| Jul 1, 2023 | 876,000.00 |
| Apr 1, 2023 | 864,000.00 |
| Dec 31, 2022 | 728,000.00 |
| Sep 24, 2022 | 741,000.00 |
| Jun 25, 2022 | 1.07 Mn |
| Mar 26, 2022 | 6.48 Mn |
| Dec 25, 2021 | 1.41 Mn |
| Sep 25, 2021 | 2.79 Mn |
API Access
Dixie Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=DXYN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=DXYN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();