St Joe (JOE) Non Operating Interest Expenses (2009 - 2026)
St Joe's Non Operating Interest Expenses came in at $6.81 million for Q3 2026, down 12.6% from $7.79 million a year earlier and down 1.0% from the prior quarter.
St Joe (JOE) Non Operating Interest Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, St Joe reported Non Operating Interest Expenses of $27.94 million, down 11.1% year-over-year; for FY2025, it came in at $30.48 million, down 9.2% from FY2024.
- Non Operating Interest Expenses carries a five-year compound annual growth rate of 17.6% (FY2020 to FY2025).
- Going back by year, Non Operating Interest Expenses was $33.58 million in FY2024 (+9.7%), $30.62 million in FY2023 (+66.6%), $18.38 million in FY2022 (+16.0%) and $15.85 million in FY2021 (+16.9%).
- The Q3 2026 figure represents the lowest quarterly Non Operating Interest Expenses since Q1 2023.
- Year-over-year, Non Operating Interest Expenses has declined for nine consecutive quarters, with an average decline of 9.7% over the last eight quarters.
- The fastest year-over-year change in Non Operating Interest Expenses over five years came in Q3 2023 (growth of 77.9%), and the weakest in Q3 2026 (a decline of 12.6%).
- Business Quant data shows JOE's Non Operating Interest Expenses at $6.88 million (Q2 2026), $7.09 million (Q1 2026) and $7.16 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 20.13 Bn | 19.12 Bn | 106.12 Mn | 981,000.00 |
| 2 | LandBridge | 5.63 Bn | 5.99 Bn | 69.80 Mn | 9.85 Mn |
| 3 | Howard Hughes Holdings | 4.96 Bn | -3.82 Bn | 435.75 Mn | 50.11 Mn |
| 4 | Millrose Properties | 3.99 Bn | 3.81 Bn | - | 47.10 Mn |
| 5 | St Joe | 3.98 Bn | 3.49 Bn | 80.65 Mn | 6.81 Mn |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 3.31 Bn | 2.12 Bn | - | -18.10 Mn |
| 7 | EagleRock Land | 2.77 Bn | 4.07 Bn | 39.50 Mn | 903,000.00 |
| 8 | Forestar | 1.14 Bn | 1.14 Bn | - | - |
| 9 | Opendoor Technologies | 1.11 Bn | -2.66 Bn | 38.00 Mn | 38.00 Mn |
| 10 | Five Point Holdings | 664.60 Mn | 682.31 Mn | 7.10 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 6.81 Mn |
| Jun 30, 2026 | 6.88 Mn |
| Mar 31, 2026 | 7.09 Mn |
| Dec 31, 2025 | 7.16 Mn |
| Sep 30, 2025 | 7.79 Mn |
| Jun 30, 2025 | 7.76 Mn |
| Mar 31, 2025 | 7.78 Mn |
| Dec 31, 2024 | 8.13 Mn |
| Sep 30, 2024 | 8.38 Mn |
| Jun 30, 2024 | 8.52 Mn |
| Mar 31, 2024 | 8.55 Mn |
| Dec 31, 2023 | 8.79 Mn |
| Sep 30, 2023 | 8.41 Mn |
| Jun 30, 2023 | 7.21 Mn |
| Mar 31, 2023 | 6.21 Mn |
| Dec 31, 2022 | 5.43 Mn |
| Sep 30, 2022 | 4.73 Mn |
| Jun 30, 2022 | 4.07 Mn |
| Mar 31, 2022 | 4.15 Mn |
| Dec 31, 2021 | 4.22 Mn |
St Joe Non Operating Interest Expenses 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=non-operating-interest-expenses&ticker=JOE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=JOE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();