Dixie (DXYN) Accumulated Expenses (2010 - 2026)
Dixie's Accumulated Expenses was $18.07 million in Q2 2026, up 19.6% from $15.1 million a year earlier and up 6.1% from the prior quarter.
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Analysis
Dixie (DXYN) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Dixie came in at $16.04 million, up 6.5% from FY2024.
- Accumulated Expenses shows a five-year compound annual growth rate of -3.8% (FY2020 to FY2025).
- In earlier years, Accumulated Expenses was $15.06 million in FY2024 (-9.3%), $16.6 million in FY2023 (-6.1%), $17.67 million in FY2022 (-32.6%) and $26.21 million in FY2021 (+34.5%).
- The Q2 2026 figure marks the highest quarterly Accumulated Expenses since Q3 2023.
- Compared with a year earlier, Accumulated Expenses has increased for three straight quarters, with an average decline of 0.6% over the last eight quarters.
- The best year-over-year quarter for Accumulated Expenses over five years was Q4 2021 (growth of 34.5%); the worst was Q4 2022 (a decline of 32.6%).
- Per Business Quant data, DXYN's Accumulated Expenses in the three quarters before Q2 2026 was $17.02 million (Q1 2026), $16.04 million (Q4 2025) and $17.38 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | SharkNinja | 28.17 Bn | 25.84 Bn | 860.34 Mn |
| 2 | Somnigroup International | 13.80 Bn | 13.34 Bn | 817.20 Mn |
| 3 | Hni | 3.43 Bn | 3.00 Bn | 647.20 Mn |
| 4 | Newell Brands | 2.44 Bn | 1.60 Bn | 812.00 Mn |
| 5 | Sonos | 2.10 Bn | 1.00 Bn | 189.31 Mn |
| 6 | Whirlpool | 1.86 Bn | -1.60 Bn | 442.00 Mn |
| 7 | Arhaus | 1.63 Bn | 709.89 Mn | 172.07 Mn |
| 8 | Millerknoll | 1.48 Bn | 773.86 Mn | 385.30 Mn |
| 9 | Corsair Gaming | 1.44 Bn | 971.89 Mn | 104.29 Mn |
| 10 | Dixie | 5.08 Mn | 2.98 Mn | 20.23 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 18.07 Mn |
| Mar 28, 2026 | 17.02 Mn |
| Dec 27, 2025 | 16.04 Mn |
| Sep 27, 2025 | 17.38 Mn |
| Jun 28, 2025 | 15.10 Mn |
| Mar 29, 2025 | 14.95 Mn |
| Dec 28, 2024 | 15.06 Mn |
| Sep 28, 2024 | 17.89 Mn |
| Jun 29, 2024 | 17.41 Mn |
| Mar 30, 2024 | 17.44 Mn |
| Dec 30, 2023 | 16.60 Mn |
| Sep 30, 2023 | 18.85 Mn |
| Jul 1, 2023 | 18.53 Mn |
| Apr 1, 2023 | 17.91 Mn |
| Dec 31, 2022 | 17.67 Mn |
| Sep 24, 2022 | 22.87 Mn |
| Jun 25, 2022 | 21.38 Mn |
| Mar 26, 2022 | 23.14 Mn |
| Dec 25, 2021 | 26.21 Mn |
| Sep 25, 2021 | 25.35 Mn |
API Access
Dixie Accumulated Expenses 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=accumulated-expenses&ticker=DXYN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=DXYN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();