Dillard'S (DDS) Land & Improvements (2010 - 2026)
Dillard'S's Land & Improvements came in at $47.18 million for fiscal Q4 2026 (quarter ended Jan 31, 2026), unchanged from $47.18 million a year earlier.
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Analysis
Dillard'S (DDS) Land & Improvements (2010 - 2026) Analysis & Trends
Going back to fiscal Q4 2010, Dillard'S's Land & Improvements data covers 9 quarters.
- Land & Improvements carries a four-year compound annual growth rate of -1.6% (FY2022 to FY2026).
- Going back by fiscal year, Land & Improvements was $47.18 million in FY2025 (unchanged), $47.18 million in FY2024 (-0.9%), $47.62 million in FY2023 (-5.3%) and $50.27 million in FY2022.
- The five-year range for quarterly Land & Improvements is $47.18 million (fiscal Q4 2024) to $50.27 million (fiscal Q4 2022).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,803.87 Bn | 2,300.54 Bn | 107.37 Bn | - |
| 2 | Home Depot | 341.42 Bn | 334.67 Bn | 16.12 Bn | - |
| 3 | Tjx Companies | 149.33 Bn | 126.87 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 125.87 Bn | 118.84 Bn | 8.58 Bn | - |
| 5 | O Reilly Automotive | 74.24 Bn | 73.33 Bn | 2.52 Bn | - |
| 6 | Ross Stores | 73.45 Bn | 56.37 Bn | 2.12 Bn | 1.84 Bn |
| 7 | Target | 71.89 Bn | 66.48 Bn | 8.94 Bn | - |
| 8 | Carvana | 53.03 Bn | 42.62 Bn | 1.52 Bn | - |
| 9 | Autozone | 52.99 Bn | 51.84 Bn | 3.52 Bn | 1.71 Bn |
| 10 | Dillard'S | 9.53 Bn | 4.44 Bn | 621.09 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jan 31, 2026 | 47.18 Mn |
| Feb 1, 2025 | 47.18 Mn |
| Feb 3, 2024 | 47.18 Mn |
| Jan 28, 2023 | 47.62 Mn |
| Jan 29, 2022 | 50.27 Mn |
| Feb 2, 2013 | 67.47 Mn |
| Jan 28, 2012 | 69.09 Mn |
| Jan 29, 2011 | 73.84 Mn |
| Jan 30, 2010 | 73.84 Mn |
API Access
Dillard'S Land & Improvements 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=land-and-improvements&ticker=DDS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "ticker": "DDS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=land-and-improvements&ticker=DDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();