St Joe (JOE) Total Non-Current Liabilities (2010 - 2023)
St Joe (JOE) reported Total Non-Current Liabilities of $762.12 million for Q2 2023, up 30.0% from $586.04 million a year earlier and up 6.2% from the prior quarter.
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Analysis
St Joe (JOE) Total Non-Current Liabilities (2010 - 2023) Analysis & Trends
At the end of FY2022, St Joe posted Total Non-Current Liabilities of $685.36 million, up 33.3% from FY2021.
- Total Non-Current Liabilities has increased for five consecutive years, with a five-year compound annual growth rate of 19.5% (FY2017 to FY2022).
- By year, Total Non-Current Liabilities came in at $514.07 million in FY2021 (+29.4%), $397.12 million in FY2020 (+23.2%), $322.36 million in FY2019 (+11.0%) and $290.46 million in FY2018 (+3.3%).
- The Q2 2023 figure ranks as the highest quarterly Total Non-Current Liabilities in data going back to Q4 2010.
- Year over year, Total Non-Current Liabilities has now increased in each of the last eight quarters, with growth averaging 31.5% over the last eight quarters.
- Over the past five years, the year-over-year growth in Total Non-Current Liabilities ranged from 3.3% (Q4 2018) to 38.9% (Q3 2022).
- Per Business Quant data, the three quarters before Q2 2023 came in at $717.74 million (Q1 2023), $685.36 million (Q4 2022) and $619.74 million (Q3 2022).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 23.84 Bn | 22.67 Bn | - | - |
| 2 | St Joe | 3.96 Bn | 3.46 Bn | 73.42 Mn | - |
| 3 | Millrose Properties | 3.83 Bn | 3.47 Bn | - | 3.66 Bn |
| 4 | LandBridge | 2.23 Bn | 2.10 Bn | 65.71 Mn | 535.72 Mn |
| 5 | Opendoor Technologies | 1.99 Bn | -1.82 Bn | 86.00 Mn | 2.05 Bn |
| 6 | Forestar | 1.30 Bn | -44.67 Mn | 84.10 Mn | - |
| 7 | Five Point Holdings | 659.65 Mn | -797.98 Mn | -23.72 Mn | 685.56 Mn |
| 8 | Tejon Ranch | 437.20 Mn | 356.82 Mn | - | 130.57 Mn |
| 9 | Nam Tai Property | 260.01 Mn | 78.63 Mn | - | - |
| 10 | Global Asset Management | 215.67 Mn | 213.36 Mn | 236,261.00 | 13.52 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | 762.12 Mn |
| Mar 31, 2023 | 717.74 Mn |
| Dec 31, 2022 | 685.36 Mn |
| Sep 30, 2022 | 619.74 Mn |
| Jun 30, 2022 | 586.04 Mn |
| Mar 31, 2022 | 551.51 Mn |
| Dec 31, 2021 | 514.07 Mn |
| Sep 30, 2021 | 446.17 Mn |
| Jun 30, 2021 | 425.98 Mn |
| Mar 31, 2021 | 408.36 Mn |
| Dec 31, 2020 | 397.12 Mn |
| Sep 30, 2020 | 380.72 Mn |
| Mar 31, 2020 | 328.95 Mn |
| Dec 31, 2019 | 322.36 Mn |
| Sep 30, 2019 | 314.63 Mn |
| Jun 30, 2019 | 305.35 Mn |
| Mar 31, 2019 | 299.15 Mn |
| Dec 31, 2018 | 290.46 Mn |
| Sep 30, 2018 | 286.49 Mn |
| Jun 30, 2018 | 284.91 Mn |
API Access
St Joe Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=JOE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=JOE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();