Dixie (DXYN) Property, Plant & Equipment (Net) (2010 - 2026)
Dixie's Property, Plant & Equipment (Net) was $26.94 million in Q2 2026, down 14.0% from $31.32 million a year earlier and down 4.0% from the prior quarter.
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Analysis
Dixie (DXYN) Property, Plant & Equipment (Net) (2010 - 2026) Analysis & Trends
At the end of FY2025, Property, Plant & Equipment (Net) at Dixie came in at $29.15 million, down 13.6% from FY2024.
- Property, Plant & Equipment (Net) shows a five-year compound annual growth rate of -11.2% (FY2020 to FY2025).
- In earlier years, Property, Plant & Equipment (Net) was $33.75 million in FY2024 (+7.6%), $31.37 million in FY2023 (-30.2%), $44.92 million in FY2022 (-7.7%) and $48.66 million in FY2021 (-8.0%).
- The Q2 2026 figure marks the lowest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2010.
- Compared with a year earlier, Property, Plant & Equipment (Net) has declined for six straight quarters, with an average decline of 11.1% over the last eight quarters.
- The best year-over-year quarter for Property, Plant & Equipment (Net) over five years was Q4 2024 (growth of 7.6%); the worst was Q4 2023 (a decline of 30.2%).
- Per Business Quant data, DXYN's Property, Plant & Equipment (Net) in the three quarters before Q2 2026 was $28.06 million (Q1 2026), $29.15 million (Q4 2025) and $30.28 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 28.10 Bn | 25.76 Bn | 860.34 Mn | 251.26 Mn |
| 2 | Somnigroup International | 13.42 Bn | 12.96 Bn | 817.20 Mn | 1.01 Bn |
| 3 | Hni | 3.31 Bn | 2.88 Bn | 647.20 Mn | 1.02 Bn |
| 4 | Newell Brands | 2.42 Bn | 1.58 Bn | 812.00 Mn | 1.18 Bn |
| 5 | Sonos | 2.06 Bn | 962.88 Mn | 189.31 Mn | 60.14 Mn |
| 6 | Whirlpool | 1.82 Bn | -1.65 Bn | 442.00 Mn | 2.23 Bn |
| 7 | Arhaus | 1.52 Bn | 596.72 Mn | 172.07 Mn | 331.04 Mn |
| 8 | Millerknoll | 1.47 Bn | 771.78 Mn | 385.30 Mn | 515.40 Mn |
| 9 | Corsair Gaming | 1.41 Bn | 938.61 Mn | 104.29 Mn | 30.37 Mn |
| 10 | Dixie | 5.36 Mn | 3.26 Mn | 20.23 Mn | 26.94 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 26.94 Mn |
| Mar 28, 2026 | 28.06 Mn |
| Dec 27, 2025 | 29.15 Mn |
| Sep 27, 2025 | 30.28 Mn |
| Jun 28, 2025 | 31.32 Mn |
| Mar 29, 2025 | 32.53 Mn |
| Dec 28, 2024 | 33.75 Mn |
| Sep 28, 2024 | 34.94 Mn |
| Jun 29, 2024 | 36.08 Mn |
| Mar 30, 2024 | 37.66 Mn |
| Dec 30, 2023 | 31.37 Mn |
| Sep 30, 2023 | 40.95 Mn |
| Jul 1, 2023 | 42.48 Mn |
| Apr 1, 2023 | 43.72 Mn |
| Dec 31, 2022 | 44.92 Mn |
| Sep 24, 2022 | 46.69 Mn |
| Jun 25, 2022 | 47.68 Mn |
| Mar 26, 2022 | 47.00 Mn |
| Dec 25, 2021 | 48.66 Mn |
| Sep 25, 2021 | 49.49 Mn |
API Access
Dixie Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=DXYN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=DXYN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();