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.
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.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q3 2022 (growth of 38.9%); the low point was Q3 2018 (a decline of 5.5%).
- 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 Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 19.20 Bn | 18.19 Bn | - | - |
| 2 | Howard Hughes Holdings | 5.05 Bn | -3.83 Bn | 435.75 Mn | 10.55 Bn |
| 3 | Millrose Properties | 4.42 Bn | 4.24 Bn | - | 4.53 Bn |
| 4 | St Joe | 4.28 Bn | 3.78 Bn | 80.65 Mn | - |
| 5 | Vesta Real Estate Corporation, S.A.B. de C.V | 3.25 Bn | 2.06 Bn | - | 1.46 Bn |
| 6 | LandBridge | 1.83 Bn | 1.70 Bn | 65.71 Mn | 535.72 Mn |
| 7 | Opendoor Technologies | 1.33 Bn | -2.44 Bn | 38.00 Mn | 3.15 Bn |
| 8 | Forestar | 1.23 Bn | -117.25 Mn | 84.10 Mn | - |
| 9 | Tejon Ranch | 482.31 Mn | 414.19 Mn | - | 134.54 Mn |
| 10 | Frp Holdings | 377.27 Mn | -71.77 Mn | - | 302.77 Mn |
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 |
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_KEY
import 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();