Genesco (GCO) Land & Improvements (2011 - 2026)
Genesco's Land & Improvements was $7.13 million in fiscal Q4 2026 (quarter ended Jan 31, 2026), up 1.1% from $7.05 million a year earlier.
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Analysis
Genesco (GCO) Land & Improvements (2011 - 2026) Analysis & Trends
From fiscal Q4 2011 onward, Genesco has reported Land & Improvements for 9 quarters.
- Land & Improvements shows a five-year compound annual growth rate of -0.9% (FY2021 to FY2026).
- In earlier fiscal years, Land & Improvements was $7.05 million in FY2025 (-0.6%), $7.09 million in FY2024 (+0.7%), $7.05 million in FY2023 (-2.6%) and $7.23 million in FY2022 (-2.9%).
- The fiscal Q4 2026 figure marks the highest quarterly Land & Improvements since fiscal Q4 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | - |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | - |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 1.84 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | - |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | - |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | - |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | - |
| 10 | Genesco | 369.83 Mn | 153.14 Mn | 272.12 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jan 31, 2026 | 7.13 Mn |
| Feb 1, 2025 | 7.05 Mn |
| Feb 3, 2024 | 7.09 Mn |
| Jan 28, 2023 | 7.05 Mn |
| Jan 29, 2022 | 7.23 Mn |
| Jan 30, 2021 | 7.45 Mn |
| Feb 1, 2020 | 7.36 Mn |
| Jan 28, 2012 | 6.12 Mn |
| Jan 29, 2011 | 4.86 Mn |
API Access
Genesco 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=GCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "ticker": "GCO", "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=GCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();