Mays J W (MAYS) Total Operating Expenses (2010 - 2026)
Mays J W's Operating Expenses came in at $5.67 million for fiscal Q4 2026 (quarter ended Jul 31, 2026), down 2.1% from $5.79 million a year earlier but up 0.6% from the prior quarter.
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Analysis
Mays J W (MAYS) Total Operating Expenses (2010 - 2026) Analysis & Trends
For FY2026 (ended Jul 31, 2026), Mays J W's Operating Expenses was $22.97 million, up 1.5% from FY2025.
- Operating Expenses carries a five-year compound annual growth rate of 1.8% (FY2021 to FY2026).
- Going back by fiscal year, Operating Expenses was $22.62 million in FY2025 (+1.8%), $22.21 million in FY2024 (-0.6%), $22.35 million in FY2023 (+1.4%) and $22.05 million in FY2022 (+4.8%).
- The five-year range for quarterly Operating Expenses is $5.38 million (fiscal Q1 2024) to $5.92 million (fiscal Q2 2026).
- Year-over-year, Operating Expenses increased in six of the last eight quarters, with growth averaging 1.7%.
- The fastest year-over-year change in Operating Expenses over five years came in fiscal Q4 2022 (growth of 9.6%), and the weakest in fiscal Q4 2026 (a decline of 2.1%).
- Business Quant data shows MAYS's Operating Expenses at $5.64 million (Q3 2026), $5.92 million (Q2 2026) and $5.74 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Texas Pacific Land | 18.94 Bn | 17.93 Bn | 106.12 Mn |
| 2 | LandBridge | 5.09 Bn | 5.45 Bn | 69.80 Mn |
| 3 | Howard Hughes Holdings | 5.05 Bn | -3.72 Bn | 435.75 Mn |
| 4 | St Joe | 4.12 Bn | 3.63 Bn | 80.65 Mn |
| 5 | Millrose Properties | 4.03 Bn | 3.85 Bn | - |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 3.35 Bn | 2.16 Bn | - |
| 7 | EagleRock Land | 2.64 Bn | 4.02 Bn | - |
| 8 | Opendoor Technologies | 1.22 Bn | -2.55 Bn | 38.00 Mn |
| 9 | Forestar | 1.18 Bn | 1.18 Bn | - |
| 10 | Mays J W | 89.66 Mn | 78.71 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 5.67 Mn |
| Apr 30, 2026 | 5.64 Mn |
| Jan 31, 2026 | 5.92 Mn |
| Oct 31, 2025 | 5.74 Mn |
| Jul 31, 2025 | 5.79 Mn |
| Apr 30, 2025 | 5.52 Mn |
| Jan 31, 2025 | 5.83 Mn |
| Oct 31, 2024 | 5.49 Mn |
| Jul 31, 2024 | 5.57 Mn |
| Apr 30, 2024 | 5.52 Mn |
| Jan 31, 2024 | 5.74 Mn |
| Oct 31, 2023 | 5.38 Mn |
| Jul 31, 2023 | 5.52 Mn |
| Apr 30, 2023 | 5.59 Mn |
| Jan 31, 2023 | 5.79 Mn |
| Oct 31, 2022 | 5.45 Mn |
| Jul 31, 2022 | 5.56 Mn |
| Apr 30, 2022 | 5.47 Mn |
| Jan 31, 2022 | 5.54 Mn |
| Oct 31, 2021 | 5.49 Mn |
API Access
Mays J W Total Operating Expenses 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=total-operating-expenses&ticker=MAYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-operating-expenses", "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=total-operating-expenses&ticker=MAYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();