St Joe (JOE) Cash & Equivalents (2009 - 2026)
St Joe (JOE) recorded Cash & Equivalents of $117.86 million in Q3 2026, down 6.5% from $126.05 million a year earlier but up 0.5% 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 rose in seven of the last eight quarters, with growth averaging 22.4%.
- 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 46.2% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $117.32 million (Q2 2026), $136.28 million (Q1 2026) and $129.61 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 18.81 Bn | 17.80 Bn | - | 369.56 Mn |
| 2 | Howard Hughes Holdings | 4.58 Bn | -4.29 Bn | 435.75 Mn | 2.87 Bn |
| 3 | Millrose Properties | 4.31 Bn | 4.13 Bn | - | 64.54 Mn |
| 4 | St Joe | 3.98 Bn | 3.47 Bn | 80.65 Mn | 117.86 Mn |
| 5 | Vesta Real Estate Corporation, S.A.B. de C.V | 3.19 Bn | 2.01 Bn | - | 240.00 Mn |
| 6 | LandBridge | 1.82 Bn | 1.69 Bn | 65.71 Mn | 39.80 Mn |
| 7 | Opendoor Technologies | 1.32 Bn | -2.45 Bn | 38.00 Mn | 910.00 Mn |
| 8 | Forestar | 1.21 Bn | -133.09 Mn | 84.10 Mn | 394.90 Mn |
| 9 | Tejon Ranch | 462.18 Mn | 394.06 Mn | - | 2.61 Mn |
| 10 | American Realty Investors | 361.16 Mn | 16.71 Mn | - | 10.85 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 117.86 Mn |
| 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 |
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();