Dixie (DXYN) Return on Capital Employed [ROCE] (2011 - 2026)
Dixie (DXYN) reported Return on Capital Employed [ROCE] of 4.50% for Q2 2026, up 9.47 percentage points from -4.97% a year earlier but down 0.40 percentage points from the prior quarter.
Dixie (DXYN) Return on Capital Employed [ROCE] (2011 - 2026) Analysis & Trends
For FY2025, Dixie posted Return on Capital Employed [ROCE] of 0.16%, up 6.35 percentage points from FY2024.
- Return on Capital Employed [ROCE] has a five-year change of +2.58 percentage points (FY2020 to FY2025).
- By year, Return on Capital Employed [ROCE] came in at -6.19% in FY2024 (-9.39 pp), 3.21% in FY2023 (+19.06 pp), -15.86% in FY2022 (-21.40 pp) and 5.54% in FY2021 (+7.97 pp).
- Five-year quarterly Return on Capital Employed [ROCE] spans a low of -16.29% in Q4 2022 and a high of 8.64% in Q3 2021.
- Year over year, Return on Capital Employed [ROCE] has now increased in each of the last three quarters, with an average year-over-year change of +0.66 percentage points over the last eight quarters.
- The high point for year-over-year Return on Capital Employed [ROCE] in five years was Q4 2023 (a gain of 19.55 percentage points); the low point was Q4 2022 (a drop of 21.81 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 4.90% (Q1 2026), 0.15% (Q4 2025) and -4.99% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 26.80 Bn | 24.47 Bn | 860.34 Mn | 27.19% |
| 2 | Somnigroup International | 13.22 Bn | 12.76 Bn | 817.20 Mn | 9.65% |
| 3 | Hni | 3.33 Bn | 2.90 Bn | 647.20 Mn | 2.37% |
| 4 | Newell Brands | 2.36 Bn | 1.52 Bn | 812.00 Mn | 2.03% |
| 5 | Sonos | 2.01 Bn | 912.92 Mn | 189.31 Mn | 13.35% |
| 6 | Whirlpool | 1.72 Bn | -1.75 Bn | 442.00 Mn | 5.37% |
| 7 | Millerknoll | 1.45 Bn | 747.53 Mn | 385.30 Mn | 5.94% |
| 8 | Arhaus | 1.44 Bn | 521.74 Mn | 172.07 Mn | 10.02% |
| 9 | Corsair Gaming | 1.40 Bn | 928.63 Mn | 104.29 Mn | 5.16% |
| 10 | Dixie | 5.36 Mn | 3.26 Mn | 20.23 Mn | 4.50% |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 4.50% |
| Mar 28, 2026 | 4.90% |
| Dec 27, 2025 | 0.15% |
| Sep 27, 2025 | -4.99% |
| Jun 28, 2025 | -4.97% |
| Mar 29, 2025 | -6.50% |
| Dec 28, 2024 | -6.07% |
| Sep 28, 2024 | 3.11% |
| Jun 29, 2024 | 3.84% |
| Mar 30, 2024 | 2.63% |
| Dec 30, 2023 | 3.27% |
| Sep 30, 2023 | -10.50% |
| Jul 1, 2023 | -14.19% |
| Apr 1, 2023 | -15.85% |
| Dec 31, 2022 | -16.29% |
| Sep 24, 2022 | -8.89% |
| Jun 25, 2022 | -1.00% |
| Mar 26, 2022 | 3.66% |
| Dec 25, 2021 | 5.52% |
| Sep 25, 2021 | 8.64% |
Dixie Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=DXYN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=DXYN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();