Genesco (GCO) Buildings (2009 - 2026)
Genesco (GCO) posted Buildings of $76.17 million for fiscal Q4 2026 (quarter ended Jan 31, 2026), up 2.4% from $74.39 million a year earlier.
Analysis
Genesco (GCO) Buildings (2009 - 2026) Analysis & Trends
Since fiscal Q2 2011, Genesco has reported Buildings for 45 quarters.
- Annual Buildings shows a five-year compound annual growth rate of 0.4% (FY2021 to FY2026).
- In prior fiscal years, Genesco's Buildings was $74.39 million in FY2025 (-1.8%), $75.78 million in FY2024 (+2.8%), $73.71 million in FY2023 (-0.3%) and $73.96 million in FY2022 (-0.9%).
- The fiscal Q4 2026 figure stands as the highest quarterly Buildings since fiscal Q3 2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,979.57 Bn | 2,476.24 Bn | 107.37 Bn |
| 2 | Home Depot | 350.34 Bn | 343.58 Bn | 16.12 Bn |
| 3 | Tjx Companies | 150.76 Bn | 128.31 Bn | 5.07 Bn |
| 4 | Lowes Companies | 130.11 Bn | 123.07 Bn | 8.58 Bn |
| 5 | Carvana | 80.38 Bn | 71.27 Bn | 1.52 Bn |
| 6 | Ross Stores | 76.38 Bn | 59.31 Bn | 2.12 Bn |
| 7 | Target | 73.52 Bn | 68.11 Bn | 8.94 Bn |
| 8 | O Reilly Automotive | 71.92 Bn | 71.02 Bn | 2.68 Bn |
| 9 | Autozone | 52.04 Bn | 50.89 Bn | 3.52 Bn |
| 10 | Genesco | 397.86 Mn | 181.16 Mn | 272.12 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jan 31, 2026 | 76.17 Mn |
| Feb 1, 2025 | 74.39 Mn |
| Feb 3, 2024 | 75.78 Mn |
| Jan 28, 2023 | 73.71 Mn |
| Jan 29, 2022 | 73.96 Mn |
| Jan 30, 2021 | 74.62 Mn |
| Feb 1, 2020 | 63.49 Mn |
| Nov 2, 2019 | 82.47 Mn |
| Aug 3, 2019 | 81.70 Mn |
| May 4, 2019 | 82.72 Mn |
| Feb 2, 2019 | 82.62 Mn |
| Nov 3, 2018 | 82.32 Mn |
| Aug 4, 2018 | 82.24 Mn |
| May 5, 2018 | 81.42 Mn |
| Feb 3, 2018 | 79.66 Mn |
| Oct 28, 2017 | 56.07 Mn |
| Jul 29, 2017 | 56.22 Mn |
| Apr 29, 2017 | 56.03 Mn |
| Jan 28, 2017 | 52.67 Mn |
| Oct 29, 2016 | 49.74 Mn |
API Access
Genesco Buildings 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=buildings&ticker=GCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "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=buildings&ticker=GCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();