Mays J W (MAYS) EPS (Diluted) (2021 - 2026)
Mays J W's EPS (Diluted) was -$0.17 in fiscal Q4 2026 (quarter ended Jul 31, 2026), compared with -$0.05 a year earlier.
Analysis
Mays J W (MAYS) EPS (Diluted) (2021 - 2026) Analysis & Trends
For FY2026 (ended Jul 31, 2026), EPS (Diluted) at Mays J W came in at -$0.69.
- In earlier fiscal years, EPS (Diluted) was -$0.07 in FY2025, -$0.20 in FY2024, -$0.04 in FY2023 and -$0.35 in FY2022.
- Quarterly EPS (Diluted) has moved between -$0.25 (fiscal Q2 2026) and $0.04 (fiscal Q3 2025) over five years.
- Per Business Quant data, MAYS's EPS (Diluted) in the three fiscal quarters before Q4 2026 was -$0.11 (Q3 2026), -$0.25 (Q2 2026) and -$0.17 (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 18.94 Bn | 17.93 Bn | 106.12 Mn | 2.42 |
| 2 | LandBridge | 5.09 Bn | 5.45 Bn | 69.80 Mn | 1.17 |
| 3 | Howard Hughes Holdings | 5.05 Bn | -3.72 Bn | 435.75 Mn | -0.02 |
| 4 | St Joe | 4.12 Bn | 3.63 Bn | 80.65 Mn | 0.65 |
| 5 | Millrose Properties | 4.03 Bn | 3.85 Bn | - | 0.78 |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 3.35 Bn | 2.16 Bn | - | 1.28 |
| 7 | EagleRock Land | 2.64 Bn | 4.02 Bn | - | 0.08 |
| 8 | Opendoor Technologies | 1.22 Bn | -2.55 Bn | 38.00 Mn | -0.23 |
| 9 | Forestar | 1.18 Bn | 1.18 Bn | - | 1.16 |
| 10 | Mays J W | 89.66 Mn | 78.71 Mn | - | -0.17 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | -0.17 |
| Apr 30, 2026 | -0.11 |
| Jan 31, 2026 | -0.25 |
| Oct 31, 2025 | -0.17 |
| Jul 31, 2025 | -0.05 |
| Apr 30, 2025 | 0.04 |
| Jan 31, 2025 | -0.08 |
| Oct 31, 2024 | 0.01 |
| Jul 31, 2024 | -0.02 |
| Apr 30, 2024 | -0.04 |
| Jan 31, 2024 | -0.05 |
| Oct 31, 2023 | -0.10 |
| Jul 31, 2023 | -0.07 |
| Apr 30, 2023 | -0.02 |
| Jan 31, 2023 | 0.02 |
| Oct 31, 2022 | 0.03 |
| Jul 31, 2022 | -0.03 |
| Apr 30, 2022 | -0.03 |
| Jan 31, 2022 | -0.10 |
| Oct 31, 2021 | -0.19 |
API Access
Mays J W 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=MAYS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "ticker": "MAYS", "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=MAYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();