Genesco (GCO) Price to Earnings (2010 - 2025)
Genesco's (GCO) Price to Earnings was 9.93 for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 49.5% from the prior quarter.
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Analysis
Genesco (GCO) Price to Earnings (2010 - 2025) Analysis & Trends
For FY2026 (ended Jan 31, 2026), Price to Earnings at Genesco was 23.67.
- By fiscal year, Price to Earnings came in at 8.37 in FY2023 (+11.8%) and 7.48 in FY2022.
- The fiscal Q2 2027 figure ranks as the lowest quarterly Price to Earnings since fiscal Q1 2024.
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at 19.66 (Q1 2027), 23.67 (Q4 2026) and 8028.14 (Q3 2026).
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 |
|---|---|
| Nov 1, 2025 | 8,028.14 |
| Jul 29, 2023 | 36.41 |
| Apr 29, 2023 | 9.06 |
| Jan 28, 2023 | 8.37 |
| Oct 29, 2022 | 6.34 |
| Jul 30, 2022 | 6.81 |
| Apr 30, 2022 | 7.68 |
| Jan 29, 2022 | 7.48 |
| Oct 30, 2021 | 6.18 |
| Jul 31, 2021 | 7.37 |
| May 1, 2021 | 8.52 |
| Feb 1, 2020 | 9.41 |
| Nov 3, 2018 | 13.24 |
| Jul 29, 2017 | 9.23 |
| Apr 29, 2017 | 11.88 |
| Jan 28, 2017 | 12.09 |
| Oct 29, 2016 | 11.02 |
| Jul 30, 2016 | 14.01 |
| Apr 30, 2016 | 15.09 |
| Jan 30, 2016 | 15.27 |
API Access
Genesco Price to Earnings 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=price-to-earnings&ticker=GCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=GCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();