Dixie (DXYN) Inventory (2010 - 2026)
Dixie (DXYN) reported Inventory of $66.93 million for Q2 2026, down 0.7% from $67.38 million a year earlier and down 1.7% from the prior quarter.
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Analysis
Dixie (DXYN) Inventory (2010 - 2026) Analysis & Trends
At the end of FY2025, Dixie posted Inventory of $66.37 million, down 0.7% from FY2024.
- Inventory has declined for three consecutive years, with a five-year compound annual growth rate of -0.5% (FY2020 to FY2025).
- By year, Inventory came in at $66.85 million in FY2024 (-12.3%), $76.21 million in FY2023 (-8.9%), $83.7 million in FY2022 (+1.2%) and $82.74 million in FY2021 (+21.9%).
- Five-year quarterly Inventory spans a low of $66.37 million in Q4 2025 and a high of $93.9 million in Q3 2022.
- Year over year, Inventory gained in 1 of the last eight quarters, with an average decline of 6.1%.
- The high point for year-over-year Inventory in five years was Q4 2021 (growth of 21.9%); the low point was Q3 2023 (a decline of 14.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $68.07 million (Q1 2026), $66.37 million (Q4 2025) and $68.49 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 27.72 Bn | 25.39 Bn | 860.34 Mn | 1.14 Bn |
| 2 | Somnigroup International | 13.39 Bn | 12.94 Bn | 817.20 Mn | 649.80 Mn |
| 3 | Hni | 3.31 Bn | 2.88 Bn | 647.20 Mn | 498.80 Mn |
| 4 | Newell Brands | 2.40 Bn | 1.56 Bn | 812.00 Mn | 1.49 Bn |
| 5 | Sonos | 2.07 Bn | 965.26 Mn | 189.31 Mn | 158.14 Mn |
| 6 | Whirlpool | 1.85 Bn | -1.62 Bn | 442.00 Mn | 2.22 Bn |
| 7 | Arhaus | 1.53 Bn | 613.69 Mn | 172.07 Mn | 353.53 Mn |
| 8 | Millerknoll | 1.45 Bn | 752.38 Mn | 385.30 Mn | 514.70 Mn |
| 9 | Corsair Gaming | 1.42 Bn | 946.13 Mn | 104.29 Mn | 264.53 Mn |
| 10 | Dixie | 5.36 Mn | 3.26 Mn | 20.23 Mn | 66.93 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 66.93 Mn |
| Mar 28, 2026 | 68.07 Mn |
| Dec 27, 2025 | 66.37 Mn |
| Sep 27, 2025 | 68.49 Mn |
| Jun 28, 2025 | 67.38 Mn |
| Mar 29, 2025 | 66.74 Mn |
| Dec 28, 2024 | 66.85 Mn |
| Sep 28, 2024 | 76.75 Mn |
| Jun 29, 2024 | 76.13 Mn |
| Mar 30, 2024 | 75.04 Mn |
| Dec 30, 2023 | 76.21 Mn |
| Sep 30, 2023 | 79.94 Mn |
| Jul 1, 2023 | 79.18 Mn |
| Apr 1, 2023 | 83.65 Mn |
| Dec 31, 2022 | 83.70 Mn |
| Sep 24, 2022 | 93.90 Mn |
| Jun 25, 2022 | 86.98 Mn |
| Mar 26, 2022 | 85.89 Mn |
| Dec 25, 2021 | 82.74 Mn |
| Sep 25, 2021 | 83.19 Mn |
API Access
Dixie Inventory 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=inventory&ticker=DXYN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=DXYN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();