Dixie (DXYN) Depreciation and Depletion (2014 - 2026)
Dixie's Depreciation and Depletion was $1.24 million in Q2 2026, down 4.4% from $1.29 million a year earlier but up 0.3% from the prior quarter.
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Analysis
Dixie (DXYN) Depreciation and Depletion (2014 - 2026) Analysis & Trends
On a trailing twelve-month basis, Dixie's Depreciation and Depletion was $5.04 million through Jun 27, 2026, down 12.8% year-over-year; for FY2025, it came in at $5.16 million, down 18.9% from FY2024.
- Depreciation and Depletion has now declined for ten consecutive years, with a five-year compound annual growth rate of -11.2% (FY2020 to FY2025).
- In earlier years, Depreciation and Depletion was $6.37 million in FY2024 (-10.6%), $7.12 million in FY2023 (-3.9%), $7.41 million in FY2022 (-10.4%) and $8.27 million in FY2021 (-11.4%).
- Quarterly Depreciation and Depletion has moved between $1.23 million (Q1 2026) and $5.93 million (Q3 2021) over five years.
- Compared with a year earlier, Depreciation and Depletion has declined for seven straight quarters, with an average decline of 14.7% over the last eight quarters.
- The best year-over-year quarter for Depreciation and Depletion over five years was Q3 2021 (growth of 149.1%); the worst was Q3 2022 (a decline of 67.0%).
- Per Business Quant data, DXYN's Depreciation and Depletion in the three quarters before Q2 2026 was $1.23 million (Q1 2026), $1.28 million (Q4 2025) and $1.29 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 31.51 Bn | 28.96 Bn | 1.17 Bn | - |
| 2 | Somnigroup International | 13.51 Bn | 13.06 Bn | 817.20 Mn | - |
| 3 | Hni | 3.42 Bn | 2.90 Bn | 678.50 Mn | - |
| 4 | Newell Brands | 2.33 Bn | 1.46 Bn | 649.00 Mn | 45.00 Mn |
| 5 | Arhaus | 2.02 Bn | 1.10 Bn | 172.07 Mn | - |
| 6 | Whirlpool | 2.00 Bn | -1.64 Bn | 473.00 Mn | - |
| 7 | Sonos | 1.95 Bn | 852.84 Mn | 189.31 Mn | - |
| 8 | Cricut | 1.84 Bn | 746.53 Mn | 108.88 Mn | - |
| 9 | Millerknoll | 1.49 Bn | 787.72 Mn | 385.30 Mn | - |
| 10 | Dixie | 4.97 Mn | 2.87 Mn | 20.23 Mn | 1.24 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 1.24 Mn |
| Mar 28, 2026 | 1.23 Mn |
| Dec 27, 2025 | 1.28 Mn |
| Sep 27, 2025 | 1.29 Mn |
| Jun 28, 2025 | 1.29 Mn |
| Mar 29, 2025 | 1.29 Mn |
| Dec 28, 2024 | 1.51 Mn |
| Sep 28, 2024 | 1.69 Mn |
| Jun 29, 2024 | 1.70 Mn |
| Mar 30, 2024 | 1.48 Mn |
| Dec 30, 2023 | 2.29 Mn |
| Sep 30, 2023 | 1.68 Mn |
| Jul 1, 2023 | 1.59 Mn |
| Apr 1, 2023 | 1.56 Mn |
| Dec 31, 2022 | 1.48 Mn |
| Sep 24, 2022 | 1.96 Mn |
| Jun 25, 2022 | 1.98 Mn |
| Mar 26, 2022 | 2.00 Mn |
| Dec 25, 2021 | 1.52 Mn |
| Sep 25, 2021 | 5.93 Mn |
API Access
Dixie Depreciation and Depletion 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=depreciation-and-depletion&ticker=DXYN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=DXYN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();