Mays J W (MAYS) Return on Sales [ROS] (2010 - 2026)
Mays J W (MAYS) recorded Return on Sales [ROS] of -6.67% in fiscal Q4 2026 (quarter ended Jul 31, 2026), down 4.23 percentage points from -2.43% a year earlier and down 0.62 percentage points from the prior quarter.
Mays J W (MAYS) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
For FY2026 (ended Jul 31, 2026), Mays J W reported Return on Sales [ROS] of -8.90%, down 8.21 percentage points from FY2025.
- Annual Return on Sales [ROS] has a five-year change of -4.75 percentage points (FY2021 to FY2026).
- Across earlier fiscal years, Return on Sales [ROS] came in at -0.69% in FY2025 (+2.18 pp), -2.87% in FY2024 (-3.86 pp), 0.99% in FY2023 (+4.06 pp) and -3.07% in FY2022 (+1.07 pp).
- 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 five consecutive quarters, with an average year-over-year change of -3.03 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 -6.05% (Q3 2026), -13.67% (Q2 2026) and -9.30% (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 18.94 Bn | 17.93 Bn | 106.12 Mn | 76.00% |
| 2 | LandBridge | 5.09 Bn | 5.45 Bn | 69.80 Mn | 68.06% |
| 3 | Howard Hughes Holdings | 5.05 Bn | -3.72 Bn | 435.75 Mn | 24.67% |
| 4 | St Joe | 4.12 Bn | 3.63 Bn | 80.65 Mn | 39.40% |
| 5 | Millrose Properties | 4.03 Bn | 3.85 Bn | - | 85.52% |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 3.35 Bn | 2.16 Bn | - | 91.58% |
| 7 | EagleRock Land | 2.64 Bn | 4.02 Bn | - | - |
| 8 | Opendoor Technologies | 1.22 Bn | -2.55 Bn | 38.00 Mn | -18.30% |
| 9 | Forestar | 1.18 Bn | 1.18 Bn | - | - |
| 10 | Mays J W | 89.66 Mn | 78.71 Mn | - | -6.67% |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | -6.67% |
| 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% |
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_KEY
import 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();