Mays J W (MAYS) Revenue (2010 - 2026)
Mays J W's Revenue was $5.31 million in fiscal Q3 2026 (quarter ended Apr 30, 2026), down 5.6% from $5.63 million a year earlier but up 2.0% from the prior quarter.
Mays J W (MAYS) Revenue (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Mays J W's Revenue was $21.43 million through Apr 30, 2026, down 3.9% year-over-year; for FY2025 (ended Jul 31, 2025), it came in at $22.47 million, up 4.1% from FY2024.
- Revenue shows a four-year compound annual growth rate of 2.7% (FY2021 to FY2025).
- In earlier fiscal years, Revenue was $21.59 million in FY2024 (-4.4%), $22.58 million in FY2023 (+5.5%), $21.4 million in FY2022 (+5.9%) and $20.21 million in FY2021.
- Quarterly Revenue has moved between $5.08 million (fiscal Q1 2022) and $5.84 million (fiscal Q2 2023) over five years.
- Compared with a year earlier, Revenue has declined for three straight quarters, with an average decline of 0.1% over the last eight quarters.
- The best year-over-year quarter for Revenue over five years was fiscal Q1 2023 (growth of 13.6%); the worst was fiscal Q1 2024 (a decline of 7.7%).
- Per Business Quant data, MAYS's Revenue in the three fiscal quarters before Q3 2026 was $5.21 million (Q2 2026), $5.25 million (Q1 2026) and $5.65 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 22.47 Bn | 21.30 Bn | - | 246.06 Mn |
| 2 | Eason Technology | 6.75 Bn | 6.75 Bn | - | - |
| 3 | LandBridge | 6.25 Bn | 6.60 Bn | 65.71 Mn | 66.84 Mn |
| 4 | Millrose Properties | 4.01 Bn | 4.01 Bn | - | 196.85 Mn |
| 5 | St Joe | 3.75 Bn | 3.25 Bn | 73.42 Mn | 158.83 Mn |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 2.85 Bn | 2.85 Bn | - | 78.50 Mn |
| 7 | Opendoor Technologies | 2.30 Bn | -1.52 Bn | 86.00 Mn | 883.00 Mn |
| 8 | Forestar | 1.31 Bn | -34.86 Mn | 84.10 Mn | 407.00 Mn |
| 9 | Five Point Holdings | 693.74 Mn | 722.51 Mn | -23.72 Mn | 13.90 Mn |
| 10 | Mays J W | 80.63 Mn | 80.63 Mn | - | 5.31 Mn |
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 5.31 Mn |
| Jan 31, 2026 | 5.21 Mn |
| Oct 31, 2025 | 5.25 Mn |
| Jul 31, 2025 | 5.65 Mn |
| Apr 30, 2025 | 5.63 Mn |
| Jan 31, 2025 | 5.64 Mn |
| Oct 31, 2024 | 5.54 Mn |
| Jul 31, 2024 | 5.49 Mn |
| Apr 30, 2024 | 5.36 Mn |
| Jan 31, 2024 | 5.41 Mn |
| Oct 31, 2023 | 5.32 Mn |
| Jul 31, 2023 | 5.41 Mn |
| Apr 30, 2023 | 5.56 Mn |
| Jan 31, 2023 | 5.84 Mn |
| Oct 31, 2022 | 5.77 Mn |
| Jul 31, 2022 | 5.50 Mn |
| Apr 30, 2022 | 5.48 Mn |
| Jan 31, 2022 | 5.33 Mn |
| Oct 31, 2021 | 5.08 Mn |
| Jul 31, 2021 | 5.17 Mn |
Mays J W Revenue 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=revenue&ticker=MAYS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=MAYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();