Mays J W (MAYS) Cash & Equivalents (2009 - 2026)
Mays J W (MAYS) recorded Cash & Equivalents of $3.11 million in fiscal Q4 2026 (quarter ended Jul 31, 2026), up 76.6% from $1.76 million a year earlier but down 1.1% from the prior quarter.
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Analysis
Mays J W (MAYS) Cash & Equivalents (2009 - 2026) Analysis & Trends
Starting with fiscal Q1 2011, Mays J W's Cash & Equivalents history includes 40 quarters.
- Annual Cash & Equivalents has a five-year compound annual growth rate of 5.0% (FY2021 to FY2026).
- Across earlier fiscal years, Cash & Equivalents came in at $1.76 million in FY2025 (-23.1%), $2.29 million in FY2024 (+3.1%), $2.22 million in FY2023 (+7.1%) and $2.07 million in FY2022 (-15.0%).
- Quarterly Cash & Equivalents has ranged from $1.35 million in fiscal Q2 2023 to $3.66 million in fiscal Q1 2023 over the past five years.
- On a year-over-year basis, Cash & Equivalents rose in three of the last eight quarters, with growth averaging 11.9%.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 76.6% in fiscal Q4 2026, against a decline of 40.2% in fiscal Q2 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $3.14 million (Q3 2026), $1.47 million (Q2 2026) and $3.23 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 18.94 Bn | 17.93 Bn | 106.12 Mn | 369.56 Mn |
| 2 | LandBridge | 5.09 Bn | 5.45 Bn | 69.80 Mn | 16.78 Mn |
| 3 | Howard Hughes Holdings | 5.05 Bn | -3.72 Bn | 435.75 Mn | 2.87 Bn |
| 4 | St Joe | 4.12 Bn | 3.63 Bn | 80.65 Mn | 117.86 Mn |
| 5 | Millrose Properties | 4.03 Bn | 3.85 Bn | - | 64.54 Mn |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 3.35 Bn | 2.16 Bn | - | 240.00 Mn |
| 7 | EagleRock Land | 2.64 Bn | 4.02 Bn | - | 12.29 Mn |
| 8 | Opendoor Technologies | 1.22 Bn | -2.55 Bn | 38.00 Mn | 910.00 Mn |
| 9 | Forestar | 1.18 Bn | 1.18 Bn | - | 657.00 Mn |
| 10 | Mays J W | 89.66 Mn | 78.71 Mn | - | 3.11 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 3.11 Mn |
| Apr 30, 2026 | 3.14 Mn |
| Jan 31, 2026 | 1.47 Mn |
| Oct 31, 2025 | 3.23 Mn |
| Jul 31, 2025 | 1.76 Mn |
| Apr 30, 2025 | 3.30 Mn |
| Jan 31, 2025 | 2.47 Mn |
| Oct 31, 2024 | 3.29 Mn |
| Jul 31, 2024 | 2.29 Mn |
| Apr 30, 2024 | 2.21 Mn |
| Jan 31, 2024 | 1.75 Mn |
| Oct 31, 2023 | 3.34 Mn |
| Jul 31, 2023 | 2.22 Mn |
| Apr 30, 2023 | 3.35 Mn |
| Jan 31, 2023 | 1.35 Mn |
| Oct 31, 2022 | 3.66 Mn |
| Jul 31, 2022 | 2.07 Mn |
| Apr 30, 2022 | 2.98 Mn |
| Jan 31, 2022 | 2.04 Mn |
| Oct 31, 2021 | 2.99 Mn |
API Access
Mays J W Cash & Equivalents 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=cash-and-equivalents&ticker=MAYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=MAYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();