St Joe (JOE) Long-Term Debt Repayments (2011 - 2026)
St Joe's Long-Term Debt Repayments came in at $8.86 million for Q3 2026, down 87.1% from $68.48 million a year earlier and down 19.4% from the prior quarter.
St Joe (JOE) Long-Term Debt Repayments (2011 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, St Joe reported Long-Term Debt Repayments of $38.88 million, down 65.5% year-over-year; for FY2025, it came in at $114.63 million, up 525.2% from FY2024.
- Long-Term Debt Repayments carries a five-year compound annual growth rate of 124.8% (FY2020 to FY2025).
- Going back by year, Long-Term Debt Repayments was $18.33 million in FY2024 (-65.8%), $53.64 million in FY2023 (+163.6%), $20.35 million in FY2022 (+737.1%) and $2.43 million in FY2021 (+21.9%).
- The five-year range for quarterly Long-Term Debt Repayments is $571,000 (Q1 2022) to $68.48 million (Q3 2025).
- Year-over-year, Long-Term Debt Repayments increased in four of the last six quarters, with growth averaging 10.8%.
- The fastest year-over-year change in Long-Term Debt Repayments over five years came in Q4 2023 (growth of 371.3%), and the weakest in Q1 2024 (a decline of 95.0%).
- Business Quant data shows JOE's Long-Term Debt Repayments at $10.99 million (Q2 2026), $10.99 million (Q1 2026) and $8.05 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 19.20 Bn | 18.19 Bn | - | - |
| 2 | Howard Hughes Holdings | 5.05 Bn | -3.83 Bn | 435.75 Mn | 44.38 Mn |
| 3 | Millrose Properties | 4.42 Bn | 4.24 Bn | - | - |
| 4 | St Joe | 4.28 Bn | 3.78 Bn | 80.65 Mn | 8.86 Mn |
| 5 | Vesta Real Estate Corporation, S.A.B. de C.V | 3.25 Bn | 2.06 Bn | - | -205.60 Mn |
| 6 | LandBridge | 1.83 Bn | 1.70 Bn | 65.71 Mn | 243,000.00 |
| 7 | Opendoor Technologies | 1.33 Bn | -2.44 Bn | 38.00 Mn | 518.00 Mn |
| 8 | Forestar | 1.23 Bn | -117.25 Mn | 84.10 Mn | - |
| 9 | Tejon Ranch | 482.31 Mn | 414.19 Mn | - | - |
| 10 | Frp Holdings | 377.27 Mn | -71.77 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 8.86 Mn |
| Jun 30, 2026 | 10.99 Mn |
| Mar 31, 2026 | 10.99 Mn |
| Dec 31, 2025 | 8.05 Mn |
| Sep 30, 2025 | 68.48 Mn |
| Jun 30, 2025 | 7.69 Mn |
| Mar 31, 2025 | 30.41 Mn |
| Dec 31, 2024 | 6.10 Mn |
| Sep 30, 2024 | 5.19 Mn |
| Jun 30, 2024 | 4.73 Mn |
| Mar 31, 2024 | 2.31 Mn |
| Dec 31, 2023 | 3.42 Mn |
| Sep 30, 2023 | 2.22 Mn |
| Jun 30, 2023 | 2.03 Mn |
| Mar 31, 2023 | 45.97 Mn |
| Dec 31, 2022 | 725,000.00 |
| Sep 30, 2022 | 700,000.00 |
| Jun 30, 2022 | 18.35 Mn |
| Mar 31, 2022 | 571,000.00 |
| Dec 31, 2021 | 820,000.00 |
St Joe Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=JOE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=JOE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();