St Joe (JOE) EBITDA (2009 - 2026)
St Joe (JOE) reported EBITDA of $72.89 million for Q3 2026, up 12.5% from $64.81 million a year earlier and up 9.9% from the prior quarter.
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Analysis
St Joe (JOE) EBITDA (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, St Joe's EBITDA came in at $220.36 million, up 21.5% year-over-year; for FY2025, it came in at $194.58 million, up 36.1% from FY2024.
- EBITDA has increased for three consecutive years, with a five-year compound annual growth rate of 26.6% (FY2020 to FY2025).
- By year, EBITDA came in at $142.95 million in FY2024 (+9.5%), $130.51 million in FY2023 (+52.9%), $85.36 million in FY2022 (-24.2%) and $112.66 million in FY2021 (+88.2%).
- The Q3 2026 figure ranks as the highest quarterly EBITDA since Q1 2014.
- Year over year, EBITDA has now increased in each of the last nine quarters, with growth averaging 28.8% over the last eight quarters.
- The high point for year-over-year EBITDA in five years was Q1 2022 (growth of 168.8%); the low point was Q4 2022 (a decline of 64.5%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $66.33 million (Q2 2026), $29.8 million (Q1 2026) and $51.35 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 19.11 Bn | 18.10 Bn | - | 230.62 Mn |
| 2 | Howard Hughes Holdings | 5.04 Bn | -3.84 Bn | 435.75 Mn | 203.02 Mn |
| 3 | Millrose Properties | 4.44 Bn | 4.25 Bn | - | - |
| 4 | St Joe | 4.20 Bn | 3.70 Bn | 80.65 Mn | 72.89 Mn |
| 5 | Vesta Real Estate Corporation, S.A.B. de C.V | 3.25 Bn | 2.06 Bn | - | 76.40 Mn |
| 6 | LandBridge | 1.86 Bn | 1.73 Bn | 65.71 Mn | 49.12 Mn |
| 7 | Opendoor Technologies | 1.28 Bn | -2.49 Bn | 38.00 Mn | -179.00 Mn |
| 8 | Forestar | 1.24 Bn | -111.63 Mn | 84.10 Mn | 46.50 Mn |
| 9 | Tejon Ranch | 475.02 Mn | 406.89 Mn | - | 4.50 Mn |
| 10 | Frp Holdings | 377.26 Mn | -71.79 Mn | - | 4.57 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 72.89 Mn |
| Jun 30, 2026 | 66.33 Mn |
| Mar 31, 2026 | 29.80 Mn |
| Dec 31, 2025 | 51.35 Mn |
| Sep 30, 2025 | 64.81 Mn |
| Jun 30, 2025 | 49.17 Mn |
| Mar 31, 2025 | 29.26 Mn |
| Dec 31, 2024 | 38.09 Mn |
| Sep 30, 2024 | 33.30 Mn |
| Jun 30, 2024 | 44.17 Mn |
| Mar 31, 2024 | 27.38 Mn |
| Dec 31, 2023 | 28.58 Mn |
| Sep 30, 2023 | 31.01 Mn |
| Jun 30, 2023 | 51.30 Mn |
| Mar 31, 2023 | 18.63 Mn |
| Dec 31, 2022 | 16.89 Mn |
| Sep 30, 2022 | 17.95 Mn |
| Jun 30, 2022 | 24.27 Mn |
| Mar 31, 2022 | 25.25 Mn |
| Dec 31, 2021 | 47.62 Mn |
API Access
St Joe EBITDA 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=ebitda&ticker=JOE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=JOE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();