Mays J W (MAYS) Operating Margin (2010 - 2026)
Mays J W (MAYS) posted Operating Margin of -6.05% for fiscal Q3 2026 (quarter ended Apr 30, 2026), down 8.06 percentage points from 2.01% a year earlier but up 7.62 percentage points from the prior quarter.
Mays J W (MAYS) Operating Margin (2010 - 2026) Analysis & Trends
For the trailing twelve months through Apr 30, 2026, Operating Margin at Mays J W was -7.74%, down 7.29 percentage points year-over-year; for FY2025 (ended Jul 31, 2025), it came in at -0.69%, up 2.18 percentage points from FY2024.
- Annual Operating Margin shows a four-year change of +3.46 percentage points (FY2021 to FY2025).
- In prior fiscal years, Mays J W's Operating Margin was -2.87% in FY2024 (-3.86 pp), 0.99% in FY2023 (+4.06 pp), -3.07% in FY2022 (+1.07 pp) and -4.14% in FY2021.
- Quarterly Operating Margin has run from a low of -13.67% in fiscal Q2 2026 to a high of 5.47% in fiscal Q1 2023 over five years.
- On a year-over-year basis, Operating Margin has declined in each of the last four quarters, with an average year-over-year change of -2.41 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Operating Margin in the past five years was fiscal Q1 2023, with a gain of 13.46 percentage points; the weakest was fiscal Q2 2026, with a drop of 10.44 percentage points.
- According to Business Quant data, Operating Margin for the three prior fiscal quarters was -13.67% (Q2 2026), -9.30% (Q1 2026) and -2.43% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 23.31 Bn | 22.14 Bn | - | 77.96% |
| 2 | Eason Technology | 6.61 Bn | 6.61 Bn | - | - |
| 3 | LandBridge | 6.20 Bn | 6.54 Bn | 65.71 Mn | 66.07% |
| 4 | Millrose Properties | 4.06 Bn | 4.06 Bn | - | 85.16% |
| 5 | St Joe | 3.76 Bn | 3.26 Bn | 73.42 Mn | 34.49% |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 2.89 Bn | 2.89 Bn | - | 91.08% |
| 7 | Opendoor Technologies | 2.35 Bn | -1.47 Bn | 86.00 Mn | -16.31% |
| 8 | Forestar | 1.34 Bn | -3.23 Mn | 84.10 Mn | 11.25% |
| 9 | Five Point Holdings | 705.60 Mn | 734.37 Mn | -23.72 Mn | -325.18% |
| 10 | Mays J W | 80.63 Mn | 80.63 Mn | - | -6.05% |
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | -6.05% |
| Jan 31, 2026 | -13.67% |
| Oct 31, 2025 | -9.30% |
| Jul 31, 2025 | -2.43% |
| Apr 30, 2025 | 2.01% |
| Jan 31, 2025 | -3.23% |
| Oct 31, 2024 | 0.94% |
| Jul 31, 2024 | -1.52% |
| Apr 30, 2024 | -2.92% |
| Jan 31, 2024 | -6.06% |
| Oct 31, 2023 | -0.97% |
| Jul 31, 2023 | -2.18% |
| Apr 30, 2023 | -0.43% |
| Jan 31, 2023 | 0.86% |
| Oct 31, 2022 | 5.47% |
| Jul 31, 2022 | -1.03% |
| Apr 30, 2022 | 0.31% |
| Jan 31, 2022 | -3.97% |
| Oct 31, 2021 | -7.99% |
| Jul 31, 2021 | 1.81% |
Mays J W Operating 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=operating-margin&ticker=MAYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-margin&ticker=MAYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();