Mays J W (MAYS) Selling, General & Administrative (2010 - 2026)
Mays J W (MAYS) recorded Selling, General & Administrative of $1.16 million in fiscal Q3 2026 (quarter ended Apr 30, 2026), down 6.0% from $1.24 million a year earlier and down 12.2% from the prior quarter.
Mays J W (MAYS) Selling, General & Administrative (2010 - 2026) Analysis & Trends
On a TTM basis, Mays J W's Selling, General & Administrative came in at $5.07 million as of Apr 30, 2026, down 1.0% year-over-year; for FY2025 (ended Jul 31, 2025), it was $5.17 million, down 3.1% from FY2024.
- Annual Selling, General & Administrative has a four-year compound annual growth rate of 1.0% (FY2021 to FY2025).
- Across earlier fiscal years, Selling, General & Administrative came in at $5.34 million in FY2024 (+1.1%), $5.28 million in FY2023 (-6.5%), $5.65 million in FY2022 (+13.9%) and $4.96 million in FY2021.
- The fiscal Q3 2026 figure is the lowest quarterly Selling, General & Administrative since fiscal Q4 2014.
- On a year-over-year basis, Selling, General & Administrative rose in four of the last eight quarters, with an average decline of 2.2%.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 28.6% in fiscal Q4 2022, against a decline of 15.8% in fiscal Q2 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $1.33 million (Q2 2026), $1.19 million (Q1 2026) and $1.38 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 23.47 Bn | 22.30 Bn | - | 8.00 Mn |
| 2 | LandBridge | 6.46 Bn | 6.80 Bn | 65.71 Mn | 15.90 Mn |
| 3 | Eason Technology | 6.34 Bn | 6.34 Bn | - | - |
| 4 | Millrose Properties | 3.80 Bn | 3.80 Bn | - | - |
| 5 | St Joe | 3.73 Bn | 3.23 Bn | 73.42 Mn | - |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 2.87 Bn | 2.87 Bn | - | -8.80 Mn |
| 7 | Opendoor Technologies | 2.36 Bn | -1.46 Bn | 86.00 Mn | 135.00 Mn |
| 8 | Forestar | 1.31 Bn | -33.33 Mn | 84.10 Mn | 38.30 Mn |
| 9 | Five Point Holdings | 674.47 Mn | 703.24 Mn | -23.72 Mn | 14.29 Mn |
| 10 | Mays J W | 80.83 Mn | 80.83 Mn | - | 1.16 Mn |
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 1.16 Mn |
| Jan 31, 2026 | 1.33 Mn |
| Oct 31, 2025 | 1.19 Mn |
| Jul 31, 2025 | 1.38 Mn |
| Apr 30, 2025 | 1.24 Mn |
| Jan 31, 2025 | 1.25 Mn |
| Oct 31, 2024 | 1.29 Mn |
| Jul 31, 2024 | 1.33 Mn |
| Apr 30, 2024 | 1.27 Mn |
| Jan 31, 2024 | 1.49 Mn |
| Oct 31, 2023 | 1.25 Mn |
| Jul 31, 2023 | 1.31 Mn |
| Apr 30, 2023 | 1.31 Mn |
| Jan 31, 2023 | 1.41 Mn |
| Oct 31, 2022 | 1.25 Mn |
| Jul 31, 2022 | 1.54 Mn |
| Apr 30, 2022 | 1.28 Mn |
| Jan 31, 2022 | 1.42 Mn |
| Oct 31, 2021 | 1.40 Mn |
| Jul 31, 2021 | 1.20 Mn |
Mays J W Selling, General & Administrative 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=selling-general-and-administrative&ticker=MAYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=MAYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();