Mays J W (MAYS) Market Capitalization (2010 - 2026)
Mays J W's Market Capitalization came in at $78.05 million for fiscal Q4 2026 (quarter ended Jul 31, 2026), down 3.8% from $81.14 million a year earlier and down 4.3% from the prior quarter.
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Analysis
Mays J W (MAYS) Market Capitalization (2010 - 2026) Analysis & Trends
Going back to fiscal Q1 2011, Mays J W's Market Capitalization data covers 40 quarters.
- Market Capitalization has declined in each of the last three fiscal years, though with a five-year compound annual growth rate of 0.2% (FY2021 to FY2026).
- Going back by fiscal year, Market Capitalization was $81.14 million in FY2025 (-7.1%), $87.34 million in FY2024 (-4.5%), $91.46 million in FY2023 (+1.3%) and $90.31 million in FY2022 (+16.8%).
- The five-year range for quarterly Market Capitalization is $70.35 million (fiscal Q1 2022) to $95.95 million (fiscal Q1 2024).
- Year-over-year, Market Capitalization increased in 1 of the last eight quarters, with an average decline of 5.7%.
- The fastest year-over-year change in Market Capitalization over five years came in fiscal Q3 2022 (growth of 50.9%), and the weakest in fiscal Q3 2025 (a decline of 16.1%).
- Business Quant data shows MAYS's Market Capitalization at $81.6 million (Q3 2026), $80.63 million (Q2 2026) and $77.04 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Texas Pacific Land | 19.50 Bn | 18.48 Bn | - |
| 2 | Howard Hughes Holdings | 5.01 Bn | -3.87 Bn | 435.75 Mn |
| 3 | Millrose Properties | 4.37 Bn | 4.19 Bn | - |
| 4 | St Joe | 4.19 Bn | 3.69 Bn | 80.65 Mn |
| 5 | Vesta Real Estate Corporation, S.A.B. de C.V | 3.25 Bn | 2.09 Bn | - |
| 6 | LandBridge | 1.85 Bn | 1.72 Bn | 65.71 Mn |
| 7 | Opendoor Technologies | 1.32 Bn | -2.44 Bn | 38.00 Mn |
| 8 | Forestar | 1.21 Bn | -136.16 Mn | 84.10 Mn |
| 9 | EagleRock Land | 553.94 Mn | 478.01 Mn | 35.42 Mn |
| 10 | Mays J W | 96.15 Mn | 85.20 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 78.05 Mn |
| Apr 30, 2026 | 81.60 Mn |
| Jan 31, 2026 | 80.63 Mn |
| Oct 31, 2025 | 77.04 Mn |
| Jul 31, 2025 | 81.14 Mn |
| Apr 30, 2025 | 73.58 Mn |
| Jan 31, 2025 | 83.65 Mn |
| Oct 31, 2024 | 89.10 Mn |
| Jul 31, 2024 | 87.34 Mn |
| Apr 30, 2024 | 87.71 Mn |
| Jan 31, 2024 | 88.45 Mn |
| Oct 31, 2023 | 95.95 Mn |
| Jul 31, 2023 | 91.46 Mn |
| Apr 30, 2023 | 90.79 Mn |
| Jan 31, 2023 | 89.22 Mn |
| Oct 31, 2022 | 93.27 Mn |
| Jul 31, 2022 | 90.31 Mn |
| Apr 30, 2022 | 82.10 Mn |
| Jan 31, 2022 | 74.68 Mn |
| Oct 31, 2021 | 70.35 Mn |
API Access
Mays J W Market Capitalization 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=market-capitalization&ticker=MAYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "market-capitalization", "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=market-capitalization&ticker=MAYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();