American Realty Investors (ARL) Receivables (2013 - 2020)
American Realty Investors (ARL) posted Receivables of $243.51 million for Q2 2020, up 10.1% from $221.26 million a year earlier and up 2.7% from the prior quarter.
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Analysis
American Realty Investors (ARL) Receivables (2013 - 2020) Analysis & Trends
At the end of FY2015, American Realty Investors' Receivables came in at $148.39 million, down 4.7% from FY2014.
- In prior years, American Realty Investors' Receivables was $155.78 million in FY2014 (+13.9%) and $136.82 million in FY2013.
- The Q2 2020 figure stands as the highest quarterly Receivables in data going back to Q4 2013.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 22.47 Bn | 21.30 Bn | - | 174.77 Mn |
| 2 | Eason Technology | 6.75 Bn | 6.75 Bn | - | 2.35 Mn |
| 3 | LandBridge | 6.25 Bn | 6.60 Bn | 65.71 Mn | 27.50 Mn |
| 4 | Millrose Properties | 4.01 Bn | 4.01 Bn | - | - |
| 5 | St Joe | 3.75 Bn | 3.25 Bn | 73.42 Mn | 17.94 Mn |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 2.85 Bn | 2.85 Bn | - | 55.70 Mn |
| 7 | Opendoor Technologies | 2.30 Bn | -1.52 Bn | 86.00 Mn | - |
| 8 | Forestar | 1.31 Bn | -34.86 Mn | 84.10 Mn | - |
| 9 | Five Point Holdings | 693.74 Mn | 722.51 Mn | -23.72 Mn | - |
| 10 | American Realty Investors | 268.61 Mn | 463.62 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2020 | 243.51 Mn |
| Mar 31, 2020 | 237.14 Mn |
| Jun 30, 2019 | 221.26 Mn |
| Mar 31, 2019 | 202.81 Mn |
| Mar 31, 2018 | 173.09 Mn |
| Sep 30, 2016 | 133.33 Mn |
| Jun 30, 2016 | 130.24 Mn |
| Mar 31, 2016 | 148.63 Mn |
| Dec 31, 2015 | 148.39 Mn |
| Sep 30, 2015 | 158.72 Mn |
| Jun 30, 2015 | 162.75 Mn |
| Dec 31, 2014 | 155.78 Mn |
| Dec 31, 2013 | 136.82 Mn |
API Access
American Realty Investors Receivables 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=receivables&ticker=ARL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "ticker": "ARL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=receivables&ticker=ARL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();