Mays J W (MAYS) Total Liabilities (2011 - 2026)
Mays J W (MAYS) posted Total Liabilities of $42.84 million for fiscal Q4 2026 (quarter ended Jul 31, 2026), up 21.4% from $35.29 million a year earlier and up 11.2% from the prior quarter.
Powered by 
Analysis
Mays J W (MAYS) Total Liabilities (2011 - 2026) Analysis & Trends
Since fiscal Q4 2011, Mays J W has reported Total Liabilities for 34 quarters.
- Annual Total Liabilities shows a five-year compound annual growth rate of -0.3% (FY2021 to FY2026).
- In prior fiscal years, Mays J W's Total Liabilities was $35.29 million in FY2025 (-3.7%), $36.63 million in FY2024 (-5.1%), $38.61 million in FY2023 (-5.0%) and $40.62 million in FY2022 (-6.4%).
- The fiscal Q4 2026 figure stands as the highest quarterly Total Liabilities since fiscal Q4 2021.
- On a year-over-year basis, Total Liabilities has increased in each of the last four quarters, with growth averaging 1.8% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was fiscal Q4 2026, with growth of 21.4%; the weakest was fiscal Q2 2023, with a decline of 6.9%.
- According to Business Quant data, Total Liabilities for the three prior fiscal quarters was $38.52 million (Q3 2026), $36.46 million (Q2 2026) and $36.28 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 19.50 Bn | 18.48 Bn | - | 185.94 Mn |
| 2 | Howard Hughes Holdings | 5.01 Bn | -3.87 Bn | 435.75 Mn | 12.24 Bn |
| 3 | Millrose Properties | 4.37 Bn | 4.19 Bn | - | 4.70 Bn |
| 4 | St Joe | 4.19 Bn | 3.69 Bn | 80.65 Mn | 724.80 Mn |
| 5 | Vesta Real Estate Corporation, S.A.B. de C.V | 3.25 Bn | 2.09 Bn | - | 1.79 Bn |
| 6 | LandBridge | 1.85 Bn | 1.72 Bn | 65.71 Mn | 545.46 Mn |
| 7 | Opendoor Technologies | 1.32 Bn | -2.44 Bn | 38.00 Mn | 3.15 Bn |
| 8 | Forestar | 1.21 Bn | -136.16 Mn | 84.10 Mn | 1.36 Bn |
| 9 | EagleRock Land | 553.94 Mn | 478.01 Mn | 35.42 Mn | 58.41 Mn |
| 10 | Mays J W | 96.15 Mn | 85.20 Mn | - | 42.84 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 42.84 Mn |
| Apr 30, 2026 | 38.52 Mn |
| Jan 31, 2026 | 36.46 Mn |
| Oct 31, 2025 | 36.28 Mn |
| Jul 31, 2025 | 35.29 Mn |
| Apr 30, 2025 | 35.00 Mn |
| Jan 31, 2025 | 35.58 Mn |
| Oct 31, 2024 | 35.57 Mn |
| Jul 31, 2024 | 36.63 Mn |
| Apr 30, 2024 | 37.50 Mn |
| Jan 31, 2024 | 37.57 Mn |
| Oct 31, 2023 | 37.87 Mn |
| Jul 31, 2023 | 38.61 Mn |
| Apr 30, 2023 | 39.00 Mn |
| Jan 31, 2023 | 38.69 Mn |
| Oct 31, 2022 | 39.93 Mn |
| Jul 31, 2022 | 40.62 Mn |
| Apr 30, 2022 | 40.70 Mn |
| Jan 31, 2022 | 41.56 Mn |
| Oct 31, 2021 | 42.33 Mn |
API Access
Mays J W Total Liabilities 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=total-liabilities&ticker=MAYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=MAYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();