St Joe (JOE) Change in Inventory (2018 - 2026)
St Joe's Change in Inventory came in at $11.98 million for Q3 2026, down 19.3% from $14.85 million a year earlier and down 22.9% from the prior quarter.
Powered by 
Analysis
St Joe (JOE) Change in Inventory (2018 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, St Joe reported Change in Inventory of $55.1 million, down 40.4% year-over-year; for FY2025, it came in at $84.29 million, up 6.1% from FY2024.
- Change in Inventory carries a five-year compound annual growth rate of 15.8% (FY2020 to FY2025).
- Going back by year, Change in Inventory was $79.44 million in FY2024 (+2.1%), $77.8 million in FY2023 (-20.2%), $97.54 million in FY2022 (+106.1%) and $47.32 million in FY2021 (+16.9%).
- The Q3 2026 figure represents the lowest quarterly Change in Inventory since Q2 2021.
- Year-over-year, Change in Inventory has declined for five consecutive quarters, with an average decline of 0.3% over the last eight quarters.
- The fastest year-over-year change in Change in Inventory over five years came in Q2 2022 (growth of 767.3%), and the weakest in Q4 2023 (a decline of 52.1%).
- Business Quant data shows JOE's Change in Inventory at $15.54 million (Q2 2026), $13.09 million (Q1 2026) and $14.49 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 19.50 Bn | 18.48 Bn | - | - |
| 2 | Howard Hughes Holdings | 5.01 Bn | -3.87 Bn | 435.75 Mn | - |
| 3 | Millrose Properties | 4.37 Bn | 4.19 Bn | - | - |
| 4 | St Joe | 4.19 Bn | 3.69 Bn | 80.65 Mn | 11.98 Mn |
| 5 | Vesta Real Estate Corporation, S.A.B. de C.V | 3.25 Bn | 2.09 Bn | - | - |
| 6 | LandBridge | 1.85 Bn | 1.72 Bn | 65.71 Mn | - |
| 7 | Opendoor Technologies | 1.32 Bn | -2.44 Bn | 38.00 Mn | - |
| 8 | Forestar | 1.21 Bn | -136.16 Mn | 84.10 Mn | 2.20 Mn |
| 9 | EagleRock Land | 553.94 Mn | 478.01 Mn | 35.42 Mn | -6,000.00 |
| 10 | Tejon Ranch | 477.18 Mn | 409.05 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 11.98 Mn |
| Jun 30, 2026 | 15.54 Mn |
| Mar 31, 2026 | 13.09 Mn |
| Dec 31, 2025 | 14.49 Mn |
| Sep 30, 2025 | 14.85 Mn |
| Jun 30, 2025 | 27.78 Mn |
| Mar 31, 2025 | 27.18 Mn |
| Dec 31, 2024 | 22.67 Mn |
| Sep 30, 2024 | 21.08 Mn |
| Jun 30, 2024 | 18.52 Mn |
| Mar 31, 2024 | 17.18 Mn |
| Dec 31, 2023 | 13.34 Mn |
| Sep 30, 2023 | 16.25 Mn |
| Jun 30, 2023 | 22.65 Mn |
| Mar 31, 2023 | 25.56 Mn |
| Dec 31, 2022 | 27.84 Mn |
| Sep 30, 2022 | 20.91 Mn |
| Jun 30, 2022 | 22.85 Mn |
| Mar 31, 2022 | 25.94 Mn |
| Dec 31, 2021 | 19.03 Mn |
API Access
St Joe Change in Inventory 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=change-in-inventory&ticker=JOE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "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=change-in-inventory&ticker=JOE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();