Mays J W (MAYS) EBITDA (2010 - 2026)
Mays J W (MAYS) posted EBITDA of $374,339 for fiscal Q3 2026 (quarter ended Apr 30, 2026), down 46.2% from $695,172 a year earlier.
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Analysis
Mays J W (MAYS) EBITDA (2010 - 2026) Analysis & Trends
For the trailing twelve months through Apr 30, 2026, EBITDA at Mays J W was $879,305, down 59.8% year-over-year; for FY2025 (ended Jul 31, 2025), it came in at $2.15 million, up 33.8% from FY2024.
- Annual EBITDA shows a four-year compound annual growth rate of 12.7% (FY2021 to FY2025).
- In prior fiscal years, Mays J W's EBITDA was $1.61 million in FY2024 (-32.0%), $2.37 million in FY2023 (+48.5%), $1.59 million in FY2022 (+19.4%) and $1.33 million in FY2021.
- Quarterly EBITDA has run from a low of -$54,768 in fiscal Q2 2026 to a high of $846,082 in fiscal Q1 2023 over five years.
- On a year-over-year basis, EBITDA increased in four of the last seven quarters, with growth averaging 6.2%.
- The strongest year-over-year quarter for EBITDA in the past five years was fiscal Q1 2023, with growth of 264.5%; the weakest was fiscal Q1 2026, with a decline of 81.5%.
- According to Business Quant data, EBITDA for the three prior fiscal quarters was -$54,768 (Q2 2026), $115,236 (Q1 2026) and $444,498 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 23.31 Bn | 22.14 Bn | - | 208.46 Mn |
| 2 | Eason Technology | 6.61 Bn | 6.61 Bn | - | - |
| 3 | LandBridge | 6.20 Bn | 6.54 Bn | 65.71 Mn | 48.53 Mn |
| 4 | Millrose Properties | 4.06 Bn | 4.06 Bn | - | - |
| 5 | St Joe | 3.76 Bn | 3.26 Bn | 73.42 Mn | 66.16 Mn |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 2.89 Bn | 2.89 Bn | - | 72.10 Mn |
| 7 | Opendoor Technologies | 2.35 Bn | -1.47 Bn | 86.00 Mn | -136.00 Mn |
| 8 | Forestar | 1.34 Bn | -3.23 Mn | 84.10 Mn | 46.50 Mn |
| 9 | Five Point Holdings | 705.60 Mn | 734.37 Mn | -23.72 Mn | -43.27 Mn |
| 10 | Mays J W | 80.63 Mn | 80.63 Mn | - | 374,339.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 374,339.00 |
| Jan 31, 2026 | -54,768.00 |
| Oct 31, 2025 | 115,236.00 |
| Jul 31, 2025 | 444,498.00 |
| Apr 30, 2025 | 695,172.00 |
| Jan 31, 2025 | 390,520.00 |
| Oct 31, 2024 | 621,537.00 |
| Jul 31, 2024 | 480,105.00 |
| Apr 30, 2024 | 390,370.00 |
| Jan 31, 2024 | 241,890.00 |
| Oct 31, 2023 | 495,650.00 |
| Jul 31, 2023 | 423,935.00 |
| Apr 30, 2023 | 510,168.00 |
| Jan 31, 2023 | 584,820.00 |
| Oct 31, 2022 | 846,082.00 |
| Jul 31, 2022 | 473,190.00 |
| Apr 30, 2022 | 548,430.00 |
| Jan 31, 2022 | 339,272.00 |
| Oct 31, 2021 | 232,123.00 |
| Jul 31, 2021 | 638,357.00 |
API Access
Mays J W 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=ebitda&ticker=MAYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=ebitda&ticker=MAYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();