Dixie (DXYN) Operating Leases (2019 - 2026)
Dixie's Operating Leases came in at $19.62 million for Q2 2026, down 13.1% from $22.59 million a year earlier but up 3.5% from the prior quarter.
Analysis
Dixie (DXYN) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2025, Dixie's Operating Leases was $20.2 million, down 9.4% from FY2024.
- Operating Leases carries a five-year compound annual growth rate of 1.6% (FY2020 to FY2025).
- Going back by year, Operating Leases was $22.3 million in FY2024 (-13.9%), $25.91 million in FY2023 (+37.8%), $18.8 million in FY2022 (-9.1%) and $20.69 million in FY2021 (+11.1%).
- The five-year range for quarterly Operating Leases is $16.3 million (Q3 2021) to $25.91 million (Q4 2023).
- Year-over-year, Operating Leases has declined for seven consecutive quarters, with an average decline of 4.7% over the last eight quarters.
- The fastest year-over-year change in Operating Leases over five years came in Q2 2024 (growth of 41.0%), and the weakest in Q3 2021 (a decline of 19.3%).
- Business Quant data shows DXYN's Operating Leases at $18.96 million (Q1 2026), $20.2 million (Q4 2025) and $21.41 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | SharkNinja | 28.10 Bn | 25.76 Bn | 860.34 Mn |
| 2 | Somnigroup International | 13.42 Bn | 12.96 Bn | 817.20 Mn |
| 3 | Hni | 3.31 Bn | 2.88 Bn | 647.20 Mn |
| 4 | Newell Brands | 2.42 Bn | 1.58 Bn | 812.00 Mn |
| 5 | Sonos | 2.06 Bn | 962.88 Mn | 189.31 Mn |
| 6 | Whirlpool | 1.82 Bn | -1.65 Bn | 442.00 Mn |
| 7 | Arhaus | 1.52 Bn | 596.72 Mn | 172.07 Mn |
| 8 | Millerknoll | 1.47 Bn | 771.78 Mn | 385.30 Mn |
| 9 | Corsair Gaming | 1.41 Bn | 938.61 Mn | 104.29 Mn |
| 10 | Dixie | 5.36 Mn | 3.26 Mn | 20.23 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 19.62 Mn |
| Mar 28, 2026 | 18.96 Mn |
| Dec 27, 2025 | 20.20 Mn |
| Sep 27, 2025 | 21.41 Mn |
| Jun 28, 2025 | 22.59 Mn |
| Mar 29, 2025 | 21.48 Mn |
| Dec 28, 2024 | 22.30 Mn |
| Sep 28, 2024 | 23.22 Mn |
| Jun 29, 2024 | 24.21 Mn |
| Mar 30, 2024 | 25.08 Mn |
| Dec 30, 2023 | 25.91 Mn |
| Sep 30, 2023 | 16.68 Mn |
| Jul 1, 2023 | 17.16 Mn |
| Apr 1, 2023 | 17.88 Mn |
| Dec 31, 2022 | 18.80 Mn |
| Sep 24, 2022 | 19.50 Mn |
| Jun 25, 2022 | 19.46 Mn |
| Mar 26, 2022 | 20.08 Mn |
| Dec 25, 2021 | 20.69 Mn |
| Sep 25, 2021 | 16.30 Mn |
API Access
Dixie Operating Leases 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=operating-leases&ticker=DXYN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=DXYN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();