Cato (CATO) EPS (Diluted) (2011 - 2026)
Cato's EPS (Diluted) was $0.06 in fiscal Q2 2027 (quarter ended Aug 1, 2026), down 83.4% from $0.36 a year earlier and down 87.8% from the prior quarter.
Cato (CATO) EPS (Diluted) (2011 - 2026) Analysis & Trends
On a trailing twelve-month basis, Cato's EPS (Diluted) was -$0.29 through Aug 1, 2026; for FY2026 (ended Jan 31, 2026), it came in at -$0.31.
- In earlier fiscal years, EPS (Diluted) was -$0.94 in FY2025, -$1.23 in FY2024, $0.00 in FY2023 (-99.9%) and $1.75 in FY2022.
- Quarterly EPS (Diluted) has moved between -$1.21 (fiscal Q4 2024) and $0.57 (fiscal Q1 2025) over five years.
- Per Business Quant data, CATO's EPS (Diluted) in the three fiscal quarters before Q2 2027 was $0.49 (Q1 2027), -$0.58 (Q4 2026) and -$0.28 (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 5.75 |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 4.79 |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 1.36 |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 4.28 |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 2.66 |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 4.11 |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 0.86 |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 0.42 |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 38.07 |
| 10 | Cato | 43.92 Mn | -283.44 Mn | 55.32 Mn | 0.06 |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 0.06 |
| May 2, 2026 | 0.49 |
| Jan 31, 2026 | -0.58 |
| Nov 1, 2025 | -0.28 |
| Aug 2, 2025 | 0.36 |
| May 3, 2025 | 0.18 |
| Feb 1, 2025 | -0.73 |
| Nov 2, 2024 | -0.78 |
| Aug 3, 2024 | 0.00 |
| May 4, 2024 | 0.57 |
| Feb 3, 2024 | -1.21 |
| Oct 28, 2023 | -0.31 |
| Jul 29, 2023 | 0.06 |
| Apr 29, 2023 | 0.23 |
| Jan 28, 2023 | -0.15 |
| Oct 29, 2022 | -0.22 |
| Jul 30, 2022 | -0.11 |
| Apr 30, 2022 | 0.48 |
| Jan 29, 2022 | -0.31 |
| Oct 30, 2021 | 0.41 |
Cato EPS (Diluted) 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=eps-diluted&ticker=CATO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=CATO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();