Cato (CATO) Price to Earnings (2011 - 2026)
Cato's Price to Earnings was 571.85 in fiscal Q1 2027 (quarter ended May 2, 2026).
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Analysis
Cato (CATO) Price to Earnings (2011 - 2026) Analysis & Trends
For FY2023 (ended Jan 28, 2023), Price to Earnings at Cato came in at 6533.76.
- In earlier fiscal years, Price to Earnings was 8.69 in FY2022, 10.07 in FY2020 (-8.8%) and 11.04 in FY2019 (-64.1%).
- The fiscal Q1 2027 figure marks the highest quarterly Price to Earnings since fiscal Q4 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,671.68 Bn | 2,188.38 Bn | 104.83 Bn |
| 2 | Home Depot | 317.55 Bn | 310.79 Bn | 16.12 Bn |
| 3 | Tjx Companies | 160.11 Bn | 137.66 Bn | 5.07 Bn |
| 4 | Lowes Companies | 111.01 Bn | 103.97 Bn | 8.58 Bn |
| 5 | O Reilly Automotive | 74.59 Bn | 73.68 Bn | 2.52 Bn |
| 6 | Ross Stores | 72.72 Bn | 55.65 Bn | 2.12 Bn |
| 7 | Target | 69.31 Bn | 63.90 Bn | 8.94 Bn |
| 8 | Autozone | 52.85 Bn | 51.75 Bn | 2.52 Bn |
| 9 | Carvana | 41.40 Bn | 31.89 Bn | 1.38 Bn |
| 10 | Cato | 44.27 Mn | -283.08 Mn | 55.32 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 2, 2026 | 571.85 |
| Jan 28, 2023 | 6,315.97 |
| Jul 30, 2022 | 24.95 |
| Apr 30, 2022 | 10.07 |
| Jan 29, 2022 | 8.69 |
| Oct 30, 2021 | 10.20 |
| Jul 31, 2021 | 15.03 |
| May 1, 2021 | 169.47 |
| Feb 1, 2020 | 10.07 |
| Nov 2, 2019 | 11.74 |
| Aug 3, 2019 | 9.69 |
| May 4, 2019 | 12.46 |
| Feb 2, 2019 | 11.04 |
| Nov 3, 2018 | 25.07 |
| Aug 4, 2018 | 33.49 |
| May 5, 2018 | 39.17 |
| Feb 3, 2018 | 30.79 |
| Oct 28, 2017 | 26.85 |
| Jul 29, 2017 | 24.07 |
| Apr 29, 2017 | 16.13 |
API Access
Cato 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=CATO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "CATO", "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=CATO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();