Mays J W (MAYS) Property, Plant & Equipment (Net) (2011 - 2026)
Mays J W's Property, Plant & Equipment (Net) was $51.32 million in fiscal Q3 2026 (quarter ended Apr 30, 2026), up 5.7% from $48.54 million a year earlier and up 4.6% from the prior quarter.
Mays J W (MAYS) Property, Plant & Equipment (Net) (2011 - 2026) Analysis & Trends
At the end of FY2025 (ended Jul 31, 2025), Property, Plant & Equipment (Net) at Mays J W came in at $48.75 million, up 1.2% from FY2024.
- Property, Plant & Equipment (Net) shows a four-year compound annual growth rate of 0.4% (FY2021 to FY2025).
- In earlier fiscal years, Property, Plant & Equipment (Net) was $48.16 million in FY2024 (+1.6%), $47.42 million in FY2023 (-1.3%), $48.06 million in FY2022 (unchanged) and $48.07 million in FY2021.
- The fiscal Q3 2026 figure marks the highest quarterly Property, Plant & Equipment (Net) in data going back to fiscal Q4 2011.
- Compared with a year earlier, Property, Plant & Equipment (Net) has increased for nine straight quarters, with growth averaging 1.9% over the last eight quarters.
- The best year-over-year quarter for Property, Plant & Equipment (Net) over five years was fiscal Q3 2026 (growth of 5.7%); the worst was fiscal Q1 2024 (a decline of 2.0%).
- Per Business Quant data, MAYS's Property, Plant & Equipment (Net) in the three fiscal quarters before Q3 2026 was $49.04 million (Q2 2026), $48.53 million (Q1 2026) and $48.75 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 23.35 Bn | 22.18 Bn | - | 182.88 Mn |
| 2 | LandBridge | 6.08 Bn | 6.42 Bn | - | - |
| 3 | St Joe | 3.85 Bn | 3.35 Bn | 73.42 Mn | 35.98 Mn |
| 4 | ETF Managers Trust | 3.80 Bn | -3.56 Bn | - | - |
| 5 | Millrose Properties | 3.68 Bn | 3.32 Bn | - | - |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 3.22 Bn | 2.03 Bn | - | 2.40 Mn |
| 7 | Opendoor Technologies | 1.92 Bn | -1.90 Bn | 86.00 Mn | 24.00 Mn |
| 8 | Mays J W | 86.28 Mn | 76.67 Mn | - | 51.32 Mn |
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 51.32 Mn |
| Jan 31, 2026 | 49.04 Mn |
| Oct 31, 2025 | 48.53 Mn |
| Jul 31, 2025 | 48.75 Mn |
| Apr 30, 2025 | 48.54 Mn |
| Jan 31, 2025 | 47.94 Mn |
| Oct 31, 2024 | 48.18 Mn |
| Jul 31, 2024 | 48.16 Mn |
| Apr 30, 2024 | 48.18 Mn |
| Jan 31, 2024 | 47.43 Mn |
| Oct 31, 2023 | 47.30 Mn |
| Jul 31, 2023 | 47.42 Mn |
| Apr 30, 2023 | 47.78 Mn |
| Jan 31, 2023 | 48.04 Mn |
| Oct 31, 2022 | 48.29 Mn |
| Jul 31, 2022 | 48.06 Mn |
| Apr 30, 2022 | 48.14 Mn |
| Jan 31, 2022 | 48.03 Mn |
| Oct 31, 2021 | 48.08 Mn |
| Jul 31, 2021 | 48.07 Mn |
Mays J W Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=MAYS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=MAYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();