Dixie (DXYN) Short-Term Debt repayments (2010 - 2019)
Dixie (DXYN) reported Short-Term Debt repayments of $36.36 million for Q4 2019.
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Analysis
Dixie (DXYN) Short-Term Debt repayments (2010 - 2019) Analysis & Trends
Dating back to Q4 2010, Dixie's Short-Term Debt repayments record includes 19 quarters.
- Short-Term Debt repayments has a five-year compound annual growth rate of 101.3% (FY2014 to FY2019).
- The Q4 2019 figure ranks as the highest quarterly Short-Term Debt repayments in data going back to Q4 2010.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ST Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 31.51 Bn | 28.96 Bn | 1.17 Bn | - |
| 2 | Somnigroup International | 13.51 Bn | 13.06 Bn | 817.20 Mn | 752.50 Mn |
| 3 | Hni | 3.42 Bn | 2.90 Bn | 678.50 Mn | - |
| 4 | Newell Brands | 2.33 Bn | 1.46 Bn | 649.00 Mn | - |
| 5 | Arhaus | 2.02 Bn | 1.10 Bn | 172.07 Mn | - |
| 6 | Whirlpool | 2.00 Bn | -1.64 Bn | 473.00 Mn | - |
| 7 | Sonos | 1.95 Bn | 852.84 Mn | 189.31 Mn | - |
| 8 | Cricut | 1.84 Bn | 746.53 Mn | 108.88 Mn | - |
| 9 | Millerknoll | 1.49 Bn | 787.72 Mn | 385.30 Mn | 4.60 Mn |
| 10 | Dixie | 4.97 Mn | 2.87 Mn | 20.23 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 28, 2019 | 36.36 Mn |
| Mar 28, 2015 | 421,000.00 |
| Dec 27, 2014 | 293,000.00 |
| Sep 27, 2014 | -141,000.00 |
| Jun 28, 2014 | 641,000.00 |
| Mar 29, 2014 | 307,000.00 |
| Dec 28, 2013 | 219,000.00 |
| Sep 28, 2013 | 138,000.00 |
| Jun 29, 2013 | 248,000.00 |
| Mar 30, 2013 | 246,000.00 |
| Dec 29, 2012 | 163,000.00 |
| Sep 29, 2012 | 129,000.00 |
| Jun 30, 2012 | 228,000.00 |
| Mar 31, 2012 | 226,000.00 |
| Dec 31, 2011 | 135,000.00 |
| Oct 1, 2011 | 100,000.00 |
| Jul 2, 2011 | 209,000.00 |
| Apr 2, 2011 | 165,000.00 |
| Dec 25, 2010 | 207,000.00 |
API Access
Dixie Short-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=short-term-debt-repayments&ticker=DXYN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-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=short-term-debt-repayments&ticker=DXYN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();