Dixie (DXYN) Selling, General & Administrative (2010 - 2026)
Dixie (DXYN) reported Selling, General & Administrative of $16.73 million for Q2 2026, down 0.3% from $16.78 million a year earlier but up 4.6% from the prior quarter.
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Analysis
Dixie (DXYN) Selling, General & Administrative (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 27, 2026, Dixie's Selling, General & Administrative came in at $66.75 million, down 4.3% year-over-year; for FY2025, it was $67.67 million, down 3.1% from FY2024.
- Selling, General & Administrative has declined for three consecutive years, though with a five-year compound annual growth rate of 3.1% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $69.85 million in FY2024 (-5.8%), $74.14 million in FY2023 (-3.7%), $76.96 million in FY2022 (+13.3%) and $67.93 million in FY2021 (+16.8%).
- Five-year quarterly Selling, General & Administrative spans a low of $16 million in Q1 2026 and a high of $22.08 million in Q4 2022.
- Year over year, Selling, General & Administrative has now declined in each of the last five quarters, with an average decline of 3.8% over the last eight quarters.
- The high point for year-over-year Selling, General & Administrative in five years was Q4 2022 (growth of 29.1%); the low point was Q4 2023 (a decline of 9.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $16 million (Q1 2026), $17.66 million (Q4 2025) and $16.37 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 27.93 Bn | 25.59 Bn | 860.34 Mn | 130.11 Mn |
| 2 | Somnigroup International | 13.63 Bn | 13.17 Bn | 817.20 Mn | - |
| 3 | Hni | 3.41 Bn | 2.98 Bn | 647.20 Mn | 533.00 Mn |
| 4 | Newell Brands | 2.36 Bn | 1.52 Bn | 812.00 Mn | 519.00 Mn |
| 5 | Sonos | 2.09 Bn | 984.29 Mn | 189.31 Mn | 30.28 Mn |
| 6 | Whirlpool | 1.84 Bn | -1.63 Bn | 442.00 Mn | 371.00 Mn |
| 7 | Arhaus | 1.64 Bn | 721.91 Mn | 172.07 Mn | 117.81 Mn |
| 8 | Corsair Gaming | 1.48 Bn | 1.01 Bn | 104.29 Mn | 81.23 Mn |
| 9 | Millerknoll | 1.46 Bn | 761.39 Mn | 385.30 Mn | 302.50 Mn |
| 10 | Dixie | 5.08 Mn | 2.98 Mn | 20.23 Mn | 16.73 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 16.73 Mn |
| Mar 28, 2026 | 16.00 Mn |
| Dec 27, 2025 | 17.66 Mn |
| Sep 27, 2025 | 16.37 Mn |
| Jun 28, 2025 | 16.78 Mn |
| Mar 29, 2025 | 16.87 Mn |
| Dec 28, 2024 | 18.54 Mn |
| Sep 28, 2024 | 17.56 Mn |
| Jun 29, 2024 | 17.38 Mn |
| Mar 30, 2024 | 16.37 Mn |
| Dec 30, 2023 | 19.94 Mn |
| Sep 30, 2023 | 18.74 Mn |
| Jul 1, 2023 | 19.04 Mn |
| Apr 1, 2023 | 16.41 Mn |
| Dec 31, 2022 | 22.08 Mn |
| Sep 24, 2022 | 18.61 Mn |
| Jun 25, 2022 | 18.86 Mn |
| Mar 26, 2022 | 17.41 Mn |
| Dec 25, 2021 | 17.10 Mn |
| Sep 25, 2021 | 18.13 Mn |
API Access
Dixie Selling, General & Administrative 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=selling-general-and-administrative&ticker=DXYN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=DXYN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();