Mays J W (MAYS) EBITDA Margin (2010 - 2026)
Mays J W (MAYS) recorded EBITDA Margin of 7.04% in fiscal Q3 2026 (quarter ended Apr 30, 2026), down 5.30 percentage points from 12.34% a year earlier but up 8.09 percentage points from the prior quarter.
Mays J W (MAYS) EBITDA Margin (2010 - 2026) Analysis & Trends
On a TTM basis, Mays J W's EBITDA Margin came in at 4.10% as of Apr 30, 2026, down 5.70 percentage points year-over-year; for FY2025 (ended Jul 31, 2025), it was 9.58%, up 2.13 percentage points from FY2024.
- Annual EBITDA Margin has a four-year change of +2.98 percentage points (FY2021 to FY2025).
- Across earlier fiscal years, EBITDA Margin came in at 7.45% in FY2024 (-3.03 pp), 10.48% in FY2023 (+3.03 pp), 7.45% in FY2022 (+0.85 pp) and 6.60% in FY2021.
- Quarterly EBITDA Margin has ranged from -1.05% in fiscal Q2 2026 to 14.66% in fiscal Q1 2023 over the past five years.
- On a year-over-year basis, EBITDA Margin has declined for four consecutive quarters, with an average year-over-year change of -1.61 percentage points over the last eight quarters.
- Peak year-over-year performance for EBITDA Margin in the last five years was a gain of 10.09 percentage points in fiscal Q1 2023, against a drop of 9.03 percentage points in fiscal Q1 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at -1.05% (Q2 2026), 2.19% (Q1 2026) and 7.86% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 22.67 Bn | 21.49 Bn | - | 84.72% |
| 2 | Eason Technology | 6.61 Bn | 6.61 Bn | - | - |
| 3 | LandBridge | 6.19 Bn | 6.54 Bn | 65.71 Mn | 72.61% |
| 4 | Millrose Properties | 4.09 Bn | 4.09 Bn | - | - |
| 5 | St Joe | 3.77 Bn | 3.27 Bn | 73.42 Mn | 41.66% |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 2.87 Bn | 2.87 Bn | - | 91.85% |
| 7 | Opendoor Technologies | 2.30 Bn | -1.52 Bn | 86.00 Mn | -15.40% |
| 8 | Forestar | 1.33 Bn | -18.53 Mn | 84.10 Mn | 11.43% |
| 9 | Five Point Holdings | 699.67 Mn | 728.44 Mn | -23.72 Mn | -311.27% |
| 10 | Mays J W | 80.63 Mn | 80.63 Mn | - | 7.04% |
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 7.04% |
| Jan 31, 2026 | -1.05% |
| Oct 31, 2025 | 2.19% |
| Jul 31, 2025 | 7.86% |
| Apr 30, 2025 | 12.34% |
| Jan 31, 2025 | 6.92% |
| Oct 31, 2024 | 11.22% |
| Jul 31, 2024 | 8.74% |
| Apr 30, 2024 | 7.28% |
| Jan 31, 2024 | 4.47% |
| Oct 31, 2023 | 9.31% |
| Jul 31, 2023 | 7.84% |
| Apr 30, 2023 | 9.17% |
| Jan 31, 2023 | 10.02% |
| Oct 31, 2022 | 14.66% |
| Jul 31, 2022 | 8.60% |
| Apr 30, 2022 | 10.00% |
| Jan 31, 2022 | 6.37% |
| Oct 31, 2021 | 4.57% |
| Jul 31, 2021 | 12.35% |
Mays J W EBITDA Margin 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-margin&ticker=MAYS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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-margin&ticker=MAYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();