Mays J W (MAYS) Return on Sales [ROS] (2010 - 2026)
Mays J W (MAYS) recorded Return on Sales [ROS] of -6.05% in 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) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a TTM basis, Mays J W's Return on Sales [ROS] came in at -7.74% as of Apr 30, 2026, down 7.29 percentage points year-over-year; for FY2025 (ended Jul 31, 2025), it was -0.69%, up 2.18 percentage points from FY2024.
- Annual Return on Sales [ROS] has a four-year change of +3.46 percentage points (FY2021 to FY2025).
- Across earlier fiscal years, Return on Sales [ROS] came in at -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 Return on Sales [ROS] has ranged from -13.67% in fiscal Q2 2026 to 5.47% in fiscal Q1 2023 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] has declined for four consecutive quarters, with an average year-over-year change of -2.41 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 13.46 percentage points in fiscal Q1 2023, against a drop of 10.44 percentage points in fiscal Q2 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at -13.67% (Q2 2026), -9.30% (Q1 2026) and -2.43% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 23.47 Bn | 22.30 Bn | - | 77.96% |
| 2 | LandBridge | 6.46 Bn | 6.80 Bn | 65.71 Mn | 66.07% |
| 3 | Eason Technology | 6.34 Bn | 6.34 Bn | - | - |
| 4 | Millrose Properties | 3.80 Bn | 3.80 Bn | - | 85.16% |
| 5 | St Joe | 3.73 Bn | 3.23 Bn | 73.42 Mn | 34.49% |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 2.87 Bn | 2.87 Bn | - | 91.08% |
| 7 | Opendoor Technologies | 2.36 Bn | -1.46 Bn | 86.00 Mn | -16.31% |
| 8 | Forestar | 1.31 Bn | -33.33 Mn | 84.10 Mn | 11.25% |
| 9 | Five Point Holdings | 674.47 Mn | 703.24 Mn | -23.72 Mn | -325.18% |
| 10 | Mays J W | 80.83 Mn | 80.83 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 Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=MAYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=MAYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();