Dixie (DXYN) Restructuring Costs (2010 - 2026)
Dixie's Restructuring Costs came in at $500,000 for Q2 2026, up 327.4% from $117,000 a year earlier and up 346.4% from the prior quarter.
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Analysis
Dixie (DXYN) Restructuring Costs (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 27, 2026, Dixie reported Restructuring Costs of $929,000, down 13.2% year-over-year; for FY2025, it came in at $549,000, down 58.6% from FY2024.
- Restructuring Costs has declined in each of the last three years, with a five-year compound annual growth rate of -31.9% (FY2020 to FY2025).
- Going back by year, Restructuring Costs was $1.33 million in FY2024 (-65.7%), $3.87 million in FY2023 (-15.6%), $4.58 million in FY2022 and $255,000 in FY2021 (-93.2%).
- The Q2 2026 figure represents the highest quarterly Restructuring Costs since Q4 2024.
- Year-over-year, Restructuring Costs increased in 1 of the last eight quarters, with an average decline of 2.0%.
- The fastest year-over-year change in Restructuring Costs over five years came in Q2 2026 (growth of 327.4%), and the weakest in Q4 2021 (a decline of 96.3%).
- Business Quant data shows DXYN's Restructuring Costs at $112,000 (Q1 2026), $200,000 (Q4 2025) and $117,000 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | SharkNinja | 28.02 Bn | 25.69 Bn | 860.34 Mn |
| 2 | Somnigroup International | 13.26 Bn | 12.80 Bn | 817.20 Mn |
| 3 | Hni | 3.26 Bn | 2.83 Bn | 647.20 Mn |
| 4 | Newell Brands | 2.37 Bn | 1.52 Bn | 812.00 Mn |
| 5 | Sonos | 2.08 Bn | 977.15 Mn | 189.31 Mn |
| 6 | Whirlpool | 1.72 Bn | -1.75 Bn | 442.00 Mn |
| 7 | Arhaus | 1.55 Bn | 631.38 Mn | 172.07 Mn |
| 8 | Corsair Gaming | 1.48 Bn | 1.01 Bn | 104.29 Mn |
| 9 | Millerknoll | 1.41 Bn | 705.96 Mn | 385.30 Mn |
| 10 | Dixie | 5.08 Mn | 2.98 Mn | 20.23 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 500,000.00 |
| Mar 28, 2026 | 112,000.00 |
| Dec 27, 2025 | 200,000.00 |
| Sep 27, 2025 | 117,000.00 |
| Jun 28, 2025 | 117,000.00 |
| Mar 29, 2025 | 115,000.00 |
| Dec 28, 2024 | 555,000.00 |
| Sep 28, 2024 | 283,000.00 |
| Jun 29, 2024 | 247,000.00 |
| Mar 30, 2024 | 242,000.00 |
| Dec 30, 2023 | 1.55 Mn |
| Sep 30, 2023 | 552,000.00 |
| Jul 1, 2023 | 719,000.00 |
| Apr 1, 2023 | 1.05 Mn |
| Dec 31, 2022 | 3.62 Mn |
| Sep 24, 2022 | 968,000.00 |
| Dec 25, 2021 | 72,000.00 |
| Sep 25, 2021 | 88,000.00 |
| Jun 26, 2021 | 71,000.00 |
| Mar 27, 2021 | 25,000.00 |
API Access
Dixie Restructuring Costs 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=restructuring-costs&ticker=DXYN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=DXYN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();