Mays J W (MAYS) Enterprise Value (2010 - 2026)
Mays J W's Enterprise Value came in at $74.95 million for fiscal Q4 2026 (quarter ended Jul 31, 2026), down 5.6% from $79.38 million a year earlier and down 4.5% from the prior quarter.
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Analysis
Mays J W (MAYS) Enterprise Value (2010 - 2026) Analysis & Trends
Going back to fiscal Q1 2011, Mays J W's Enterprise Value data covers 40 quarters.
- Enterprise Value has declined in each of the last three fiscal years, with a five-year compound annual growth rate of 0.0% (FY2021 to FY2026).
- Going back by fiscal year, Enterprise Value was $79.38 million in FY2025 (-6.7%), $85.06 million in FY2024 (-4.7%), $89.24 million in FY2023 (+1.1%) and $88.24 million in FY2022 (+17.9%).
- The five-year range for quarterly Enterprise Value is $67.36 million (fiscal Q1 2022) to $92.61 million (fiscal Q1 2024).
- Year-over-year, Enterprise Value increased in 1 of the last eight quarters, with an average decline of 6.1%.
- The fastest year-over-year change in Enterprise Value over five years came in fiscal Q1 2022 (growth of 56.1%), and the weakest in fiscal Q3 2025 (a decline of 17.8%).
- Business Quant data shows MAYS's Enterprise Value at $78.46 million (Q3 2026), $79.16 million (Q2 2026) and $73.81 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 | 74.95 Mn |
| Apr 30, 2026 | 78.46 Mn |
| Jan 31, 2026 | 79.16 Mn |
| Oct 31, 2025 | 73.81 Mn |
| Jul 31, 2025 | 79.38 Mn |
| Apr 30, 2025 | 70.28 Mn |
| Jan 31, 2025 | 81.19 Mn |
| Oct 31, 2024 | 85.81 Mn |
| Jul 31, 2024 | 85.06 Mn |
| Apr 30, 2024 | 85.49 Mn |
| Jan 31, 2024 | 86.70 Mn |
| Oct 31, 2023 | 92.61 Mn |
| Jul 31, 2023 | 89.24 Mn |
| Apr 30, 2023 | 87.44 Mn |
| Jan 31, 2023 | 87.87 Mn |
| Oct 31, 2022 | 89.61 Mn |
| Jul 31, 2022 | 88.24 Mn |
| Apr 30, 2022 | 79.13 Mn |
| Jan 31, 2022 | 72.64 Mn |
| Oct 31, 2021 | 67.36 Mn |
API Access
Mays J W Enterprise Value 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=enterprise-value&ticker=MAYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=MAYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();