InPoint Commercial Real Estate Income (ICR-PA) Selling, General & Administrative (2017)
InPoint Commercial Real Estate Income's Selling, General & Administrative was $10,000 in Q4 2017, down 64.3% from the prior quarter.
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Analysis
InPoint Commercial Real Estate Income (ICR-PA) Selling, General & Administrative (2017) Analysis & Trends
For FY2017, Selling, General & Administrative at InPoint Commercial Real Estate Income came in at $96,000, up 405.3% from FY2016.
- In earlier years, Selling, General & Administrative was $19,000 in FY2016.
- Per Business Quant data, ICR-PA's Selling, General & Administrative in the three quarters before Q4 2017 was $28,000 (Q3 2017), $28,750 (Q2 2017) and $28,750 (Q1 2017).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Rocket Companies | 43.94 Bn | 29.62 Bn | - | 568.00 Mn |
| 2 | Orix | 41.70 Bn | 42.20 Bn | - | 1.24 Bn |
| 3 | Royalty Pharma | 32.87 Bn | 32.78 Bn | - | 161.89 Mn |
| 4 | Federal National Mortgage Association Fannie Mae | 25.52 Bn | 25.52 Bn | - | - |
| 5 | Affirm Holdings | 23.86 Bn | 17.55 Bn | - | 146.84 Mn |
| 6 | Synchrony Financial | 23.33 Bn | -44.64 Bn | - | - |
| 7 | Royal Gold | 19.87 Bn | 19.09 Bn | 390.45 Mn | 13.45 Mn |
| 8 | Annaly Capital Management | 13.89 Bn | 4.98 Bn | - | 58.19 Mn |
| 9 | Ares Capital | 13.54 Bn | 10.98 Bn | - | - |
| 10 | InPoint Commercial Real Estate Income | 184.53 Mn | -107.27 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2017 | 10,000.00 |
| Sep 30, 2017 | 28,000.00 |
| Jun 30, 2017 | 28,750.00 |
| Mar 31, 2017 | 28,750.00 |
API Access
InPoint Commercial Real Estate Income Selling, General & Administrative 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=selling-general-and-administrative&ticker=ICR-PA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "ICR-PA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=selling-general-and-administrative&ticker=ICR-PA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();