Mays J W (MAYS) Other Operating Expenses (2010 - 2026)
Mays J W (MAYS) reported Other Operating Expenses of $4.47 million for fiscal Q3 2026 (quarter ended Apr 30, 2026), up 4.5% from $4.28 million a year earlier but down 2.7% from the prior quarter.
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Analysis
Mays J W (MAYS) Other Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Apr 30, 2026, Mays J W's Other Operating Expenses came in at $18.03 million, up 4.3% year-over-year; for FY2025 (ended Jul 31, 2025), it came in at $17.46 million, up 3.4% from FY2024.
- Other Operating Expenses has a four-year compound annual growth rate of 2.1% (FY2021 to FY2025).
- By fiscal year, Other Operating Expenses came in at $16.88 million in FY2024 (-1.1%), $17.07 million in FY2023 (+4.1%), $16.41 million in FY2022 (+1.9%) and $16.09 million in FY2021.
- Five-year quarterly Other Operating Expenses spans a low of $3.87 million in fiscal Q4 2021 and a high of $4.6 million in fiscal Q2 2026.
- Year over year, Other Operating Expenses has now increased in each of the last eight quarters, with growth averaging 3.5% over the last eight quarters.
- The high point for year-over-year Other Operating Expenses in five years was fiscal Q1 2026 (growth of 8.5%); the low point was fiscal Q2 2024 (a decline of 2.8%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $4.6 million (Q2 2026), $4.55 million (Q1 2026) and $4.41 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Texas Pacific Land | 22.47 Bn | 21.30 Bn | - |
| 2 | Eason Technology | 6.75 Bn | 6.75 Bn | - |
| 3 | LandBridge | 6.25 Bn | 6.60 Bn | 65.71 Mn |
| 4 | Millrose Properties | 4.01 Bn | 4.01 Bn | - |
| 5 | St Joe | 3.75 Bn | 3.25 Bn | 73.42 Mn |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 2.85 Bn | 2.85 Bn | - |
| 7 | Opendoor Technologies | 2.30 Bn | -1.52 Bn | 86.00 Mn |
| 8 | Forestar | 1.31 Bn | -34.86 Mn | 84.10 Mn |
| 9 | Five Point Holdings | 693.74 Mn | 722.51 Mn | -23.72 Mn |
| 10 | Mays J W | 80.63 Mn | 80.63 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 4.47 Mn |
| Jan 31, 2026 | 4.60 Mn |
| Oct 31, 2025 | 4.55 Mn |
| Jul 31, 2025 | 4.41 Mn |
| Apr 30, 2025 | 4.28 Mn |
| Jan 31, 2025 | 4.57 Mn |
| Oct 31, 2024 | 4.19 Mn |
| Jul 31, 2024 | 4.24 Mn |
| Apr 30, 2024 | 4.26 Mn |
| Jan 31, 2024 | 4.26 Mn |
| Oct 31, 2023 | 4.12 Mn |
| Jul 31, 2023 | 4.21 Mn |
| Apr 30, 2023 | 4.27 Mn |
| Jan 31, 2023 | 4.38 Mn |
| Oct 31, 2022 | 4.20 Mn |
| Jul 31, 2022 | 4.02 Mn |
| Apr 30, 2022 | 4.19 Mn |
| Jan 31, 2022 | 4.12 Mn |
| Oct 31, 2021 | 4.08 Mn |
| Jul 31, 2021 | 3.87 Mn |
API Access
Mays J W Other 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=other-operating-expenses&ticker=MAYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=MAYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();