St Joe (JOE) Total Liabilities (2009 - 2026)
St Joe (JOE) posted Total Liabilities of $735.38 million for Q2 2026, down 7.9% from $798.45 million a year earlier and down 1.1% from the prior quarter.
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Analysis
St Joe (JOE) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, St Joe's Total Liabilities came in at $742.8 million, down 7.4% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of 9.6% (FY2020 to FY2025).
- In prior years, St Joe's Total Liabilities was $801.84 million in FY2024 (-2.8%), $825.04 million in FY2023 (+5.8%), $779.73 million in FY2022 (+34.0%) and $582.05 million in FY2021 (+24.1%).
- The Q2 2026 figure stands as the lowest quarterly Total Liabilities since Q3 2022.
- On a year-over-year basis, Total Liabilities has declined in each of the last nine quarters, with an average decline of 5.4% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q4 2022, with growth of 34.0%; the weakest was Q1 2026, with a decline of 8.0%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $743.35 million (Q1 2026), $742.8 million (Q4 2025) and $763.04 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 23.87 Bn | 22.70 Bn | - | 187.08 Mn |
| 2 | St Joe | 3.97 Bn | 3.46 Bn | 73.42 Mn | 735.38 Mn |
| 3 | Millrose Properties | 3.80 Bn | 3.44 Bn | - | 3.86 Bn |
| 4 | LandBridge | 2.23 Bn | 2.10 Bn | 65.71 Mn | 545.46 Mn |
| 5 | Opendoor Technologies | 1.99 Bn | -1.82 Bn | 86.00 Mn | 2.05 Bn |
| 6 | Forestar | 1.30 Bn | -44.67 Mn | 84.10 Mn | 1.36 Bn |
| 7 | Five Point Holdings | 658.16 Mn | -799.46 Mn | -23.72 Mn | 884.80 Mn |
| 8 | Tejon Ranch | 439.09 Mn | 358.71 Mn | - | 146.63 Mn |
| 9 | Nam Tai Property | 260.01 Mn | 78.63 Mn | - | 291.50 Mn |
| 10 | Global Asset Management | 215.67 Mn | 213.36 Mn | 236,261.00 | 27.51 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 735.38 Mn |
| Mar 31, 2026 | 743.35 Mn |
| Dec 31, 2025 | 742.80 Mn |
| Sep 30, 2025 | 763.04 Mn |
| Jun 30, 2025 | 798.45 Mn |
| Mar 31, 2025 | 808.33 Mn |
| Dec 31, 2024 | 801.84 Mn |
| Sep 30, 2024 | 815.97 Mn |
| Jun 30, 2024 | 828.06 Mn |
| Mar 31, 2024 | 832.79 Mn |
| Dec 31, 2023 | 825.04 Mn |
| Sep 30, 2023 | 848.47 Mn |
| Jun 30, 2023 | 840.39 Mn |
| Mar 31, 2023 | 813.88 Mn |
| Dec 31, 2022 | 779.73 Mn |
| Sep 30, 2022 | 703.08 Mn |
| Jun 30, 2022 | 672.39 Mn |
| Mar 31, 2022 | 619.31 Mn |
| Dec 31, 2021 | 582.05 Mn |
| Sep 30, 2021 | 537.93 Mn |
API Access
St Joe 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=JOE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "JOE", "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=JOE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();