St Joe (JOE) Capital Expenditures (2009 - 2026)
St Joe (JOE) posted Capital Expenditures of $977,000 for Q2 2026, down 27.8% from $1.35 million a year earlier and down 51.1% from the prior quarter.
St Joe (JOE) Capital Expenditures (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Capital Expenditures at St Joe was $4.51 million, down 31.2% year-over-year; for FY2025, it came in at $4.06 million, down 47.6% from FY2024.
- Annual Capital Expenditures shows a five-year compound annual growth rate of -6.5% (FY2020 to FY2025).
- In prior years, St Joe's Capital Expenditures was $7.75 million in FY2024 (+25.3%), $6.18 million in FY2023 (-15.9%), $7.35 million in FY2022 (+70.8%) and $4.3 million in FY2021 (-24.4%).
- Quarterly Capital Expenditures has run from a low of $535,000 in Q4 2025 to a high of $3.96 million in Q4 2022 over five years.
- On a year-over-year basis, Capital Expenditures increased in three of the last eight quarters, with an average decline of 12.6%.
- The strongest year-over-year quarter for Capital Expenditures in the past five years was Q4 2022, with growth of 239.7%; the weakest was Q4 2025, with a decline of 76.1%.
- According to Business Quant data, Capital Expenditures for the three prior quarters was $2 million (Q1 2026), $535,000 (Q4 2025) and $1 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 23.78 Bn | 22.61 Bn | - | 132.02 Mn |
| 2 | St Joe | 3.90 Bn | 3.39 Bn | 73.42 Mn | 8.46 Mn |
| 3 | Millrose Properties | 3.85 Bn | 3.49 Bn | - | - |
| 4 | Opendoor Technologies | 1.88 Bn | -1.94 Bn | 86.00 Mn | 5.00 Mn |
| 5 | Forestar | 1.29 Bn | -57.45 Mn | 84.10 Mn | - |
| 6 | Five Point Holdings | 644.08 Mn | -813.54 Mn | -23.72 Mn | 176,000.00 |
| 7 | Tejon Ranch | 430.45 Mn | 350.07 Mn | - | 8.46 Mn |
| 8 | Nam Tai Property | 260.01 Mn | 78.63 Mn | - | - |
| 9 | Global Asset Management | 184.86 Mn | 182.55 Mn | 236,261.00 | - |
| 10 | Star Holdings | 89.52 Mn | -82.34 Mn | 5.31 Mn | 106,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.46 Mn |
| Mar 31, 2026 | 7.56 Mn |
| Dec 31, 2025 | 3.99 Mn |
| Sep 30, 2025 | 5.55 Mn |
| Jun 30, 2025 | 8.70 Mn |
| Mar 31, 2025 | 5.57 Mn |
| Dec 31, 2024 | 8.01 Mn |
| Sep 30, 2024 | 13.72 Mn |
| Jun 30, 2024 | 13.93 Mn |
| Mar 31, 2024 | 14.27 Mn |
| Dec 31, 2023 | 28.12 Mn |
| Sep 30, 2023 | 29.56 Mn |
| Jun 30, 2023 | 38.25 Mn |
| Mar 31, 2023 | 44.03 Mn |
| Dec 31, 2022 | 99.30 Mn |
| Sep 30, 2022 | 50.73 Mn |
| Jun 30, 2022 | 56.06 Mn |
| Mar 31, 2022 | 53.07 Mn |
| Dec 31, 2021 | 41.15 Mn |
| Sep 30, 2021 | 42.94 Mn |
St Joe Capital Expenditures 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=capital-expenditures&ticker=JOE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=JOE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();