Mays J W (MAYS) EV to EBITDA (2011 - 2026)
Mays J W's (MAYS) EV to EBITDA stood at 99.37 in FY2026 (year ended Jul 31, 2026), up 169.4% from 36.89 in FY2025.
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Analysis
Mays J W (MAYS) EV to EBITDA (2011 - 2026) Analysis & Trends
Starting with FY2010, Mays J W's EV to EBITDA history includes 11 fiscal years.
- The FY2026 figure is the highest annual EV to EBITDA in data going back to FY2010.
- Per Business Quant data, MAYS's EV to EBITDA was 36.89 in FY2025 (-30.3%), 52.90 in FY2024 (+40.2%), 37.73 in FY2023 (-31.9%) and 55.39 in FY2022 (-1.3%).
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 |
|---|---|
| Apr 30, 2026 | 89.23 |
| Jan 31, 2026 | 65.96 |
| Oct 31, 2025 | 44.86 |
| Jul 31, 2025 | 36.89 |
| Apr 30, 2025 | 32.13 |
| Jan 31, 2025 | 43.13 |
| Oct 31, 2024 | 49.49 |
| Jul 31, 2024 | 52.90 |
| Apr 30, 2024 | 55.09 |
| Jan 31, 2024 | 51.87 |
| Oct 31, 2023 | 45.97 |
| Jul 31, 2023 | 37.73 |
| Apr 30, 2023 | 36.22 |
| Jan 31, 2023 | 35.83 |
| Oct 31, 2022 | 40.60 |
| Jul 31, 2022 | 55.39 |
| Apr 30, 2022 | 45.00 |
| Jan 31, 2022 | 48.07 |
| Oct 31, 2021 | 48.54 |
| Jul 31, 2021 | 34.97 |
API Access
Mays J W EV to EBITDA 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=ev-to-ebitda&ticker=MAYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=MAYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();