St Joe (JOE) Cash & Equivalents (2009 - 2026)
St Joe (JOE) recorded Cash & Equivalents of $117.32 million in Q2 2026, up 33.1% from $88.16 million a year earlier but down 13.9% from the prior quarter.
St Joe (JOE) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, St Joe reported Cash & Equivalents of $129.61 million, up 46.0% from FY2024.
- Annual Cash & Equivalents has increased for three straight years, with a five-year compound annual growth rate of 3.9% (FY2020 to FY2025).
- Across earlier years, Cash & Equivalents came in at $88.76 million in FY2024 (+3.1%), $86.07 million in FY2023 (+128.0%), $37.75 million in FY2022 (-46.2%) and $70.16 million in FY2021 (-34.3%).
- Quarterly Cash & Equivalents has ranged from $18.85 million in Q3 2022 to $136.28 million in Q1 2026 over the past five years.
- On a year-over-year basis, Cash & Equivalents has increased for seven consecutive quarters, with growth averaging 22.0% over the last eight quarters.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 388.2% in Q3 2023, against a decline of 73.4% in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $136.28 million (Q1 2026), $129.61 million (Q4 2025) and $126.05 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 23.83 Bn | 22.66 Bn | - | 248.61 Mn |
| 2 | St Joe | 3.87 Bn | 3.36 Bn | 73.42 Mn | 117.32 Mn |
| 3 | Millrose Properties | 3.65 Bn | 3.29 Bn | - | 34.17 Mn |
| 4 | LandBridge | 2.24 Bn | 2.11 Bn | 65.71 Mn | 39.80 Mn |
| 5 | Opendoor Technologies | 1.97 Bn | -1.85 Bn | 86.00 Mn | 896.00 Mn |
| 6 | Forestar | 1.28 Bn | -66.65 Mn | 84.10 Mn | 394.90 Mn |
| 7 | Five Point Holdings | 634.45 Mn | -823.18 Mn | -23.72 Mn | 348.38 Mn |
| 8 | Tejon Ranch | 435.85 Mn | 355.47 Mn | - | 3.87 Mn |
| 9 | Nam Tai Property | 260.01 Mn | 78.63 Mn | - | 43.50 Mn |
| 10 | Global Asset Management | 215.67 Mn | 213.36 Mn | 236,261.00 | 187,933.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 117.32 Mn |
| Mar 31, 2026 | 136.28 Mn |
| Dec 31, 2025 | 129.61 Mn |
| Sep 30, 2025 | 126.05 Mn |
| Jun 30, 2025 | 88.16 Mn |
| Mar 31, 2025 | 94.54 Mn |
| Dec 31, 2024 | 88.76 Mn |
| Sep 30, 2024 | 82.75 Mn |
| Jun 30, 2024 | 86.73 Mn |
| Mar 31, 2024 | 89.77 Mn |
| Dec 31, 2023 | 86.07 Mn |
| Sep 30, 2023 | 92.00 Mn |
| Jun 30, 2023 | 60.63 Mn |
| Mar 31, 2023 | 57.15 Mn |
| Dec 31, 2022 | 37.75 Mn |
| Sep 30, 2022 | 18.85 Mn |
| Jun 30, 2022 | 21.85 Mn |
| Mar 31, 2022 | 33.12 Mn |
| Dec 31, 2021 | 70.16 Mn |
| Sep 30, 2021 | 27.26 Mn |
St Joe Cash & Equivalents 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=cash-and-equivalents&ticker=JOE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=JOE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();