Mays J W (MAYS) Net Margin (2010 - 2026)
Mays J W (MAYS) recorded Net Margin of -4.08% in fiscal Q3 2026 (quarter ended Apr 30, 2026), down 5.62 percentage points from 1.54% a year earlier but up 5.69 percentage points from the prior quarter.
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Analysis
Mays J W (MAYS) Net Margin (2010 - 2026) Analysis & Trends
On a TTM basis, Mays J W's Net Margin came in at -5.37% as of Apr 30, 2026, down 5.04 percentage points year-over-year; for FY2025 (ended Jul 31, 2025), it was -0.61%, up 1.28 percentage points from FY2024.
- Annual Net Margin has a four-year change of -2.58 percentage points (FY2021 to FY2025).
- Across earlier fiscal years, Net Margin came in at -1.88% in FY2024 (-1.52 pp), -0.37% in FY2023 (+2.96 pp), -3.33% in FY2022 (-5.30 pp) and 1.97% in FY2021.
- Quarterly Net Margin has ranged from -9.77% in fiscal Q2 2026 to 17.59% in fiscal Q4 2021 over the past five years.
- On a year-over-year basis, Net Margin has declined for four consecutive quarters, with an average year-over-year change of -1.51 percentage points over the last eight quarters.
- Peak year-over-year performance for Net Margin in the last five years was a gain of 8.72 percentage points in fiscal Q1 2023, against a drop of 18.84 percentage points in fiscal Q4 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at -9.77% (Q2 2026), -6.36% (Q1 2026) and -1.63% (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 22.67 Bn | 21.49 Bn | - | 62.56% |
| 2 | Eason Technology | 6.61 Bn | 6.61 Bn | - | - |
| 3 | LandBridge | 6.19 Bn | 6.54 Bn | 65.71 Mn | 46.45% |
| 4 | Millrose Properties | 4.09 Bn | 4.09 Bn | - | 63.95% |
| 5 | St Joe | 3.77 Bn | 3.27 Bn | 73.42 Mn | 25.48% |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 2.87 Bn | 2.87 Bn | - | 129.68% |
| 7 | Opendoor Technologies | 2.30 Bn | -1.52 Bn | 86.00 Mn | -18.35% |
| 8 | Forestar | 1.33 Bn | -18.53 Mn | 84.10 Mn | 8.82% |
| 9 | Five Point Holdings | 699.67 Mn | 728.44 Mn | -23.72 Mn | 78.13% |
| 10 | Mays J W | 80.63 Mn | 80.63 Mn | - | -4.08% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | -4.08% |
| Jan 31, 2026 | -9.77% |
| Oct 31, 2025 | -6.36% |
| Jul 31, 2025 | -1.63% |
| Apr 30, 2025 | 1.54% |
| Jan 31, 2025 | -2.79% |
| Oct 31, 2024 | 0.48% |
| Jul 31, 2024 | -0.57% |
| Apr 30, 2024 | -1.58% |
| Jan 31, 2024 | -1.81% |
| Oct 31, 2023 | -3.62% |
| Jul 31, 2023 | -2.74% |
| Apr 30, 2023 | -0.70% |
| Jan 31, 2023 | 0.77% |
| Oct 31, 2022 | 1.03% |
| Jul 31, 2022 | -1.25% |
| Apr 30, 2022 | -1.04% |
| Jan 31, 2022 | -3.68% |
| Oct 31, 2021 | -7.69% |
| Jul 31, 2021 | 17.59% |
API Access
Mays J W Net 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=net-margin&ticker=MAYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-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=net-margin&ticker=MAYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();