Manhattan Bridge Capital (LOAN) Asset Writedowns and Impairment (2015 - 2017)
Manhattan Bridge Capital (LOAN) reported Asset Writedowns and Impairment of $20,000 for FY2017, up 33.3% from $15,000 in FY2016.
Powered by 
Analysis
Manhattan Bridge Capital (LOAN) Asset Writedowns and Impairment (2015 - 2017) Analysis & Trends
Dating back to FY2013, Manhattan Bridge Capital's Asset Writedowns and Impairment record includes 4 years.
- Asset Writedowns and Impairment has a four-year compound annual growth rate of -13.1% (FY2013 to FY2017).
- The FY2017 figure ranks as the highest annual Asset Writedowns and Impairment since FY2013.
- According to Business Quant data, Asset Writedowns and Impairment came in at $15,000 in FY2016 (unchanged), $15,000 in FY2015 and $35,000 in FY2013.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rocket Companies | 43.94 Bn | 29.62 Bn | - |
| 2 | Orix | 41.70 Bn | 42.20 Bn | - |
| 3 | Royalty Pharma | 32.87 Bn | 32.78 Bn | - |
| 4 | Federal National Mortgage Association Fannie Mae | 25.52 Bn | 25.52 Bn | - |
| 5 | Affirm Holdings | 23.86 Bn | 17.55 Bn | - |
| 6 | Synchrony Financial | 23.33 Bn | -44.64 Bn | - |
| 7 | Royal Gold | 19.87 Bn | 19.09 Bn | 390.45 Mn |
| 8 | Annaly Capital Management | 13.89 Bn | 4.98 Bn | - |
| 9 | Ares Capital | 13.54 Bn | 10.98 Bn | - |
| 10 | Manhattan Bridge Capital | 43.19 Mn | 42.30 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2017 | 10,000.00 |
| Jun 30, 2017 | 10,000.00 |
| Dec 31, 2016 | 5,000.00 |
| Jun 30, 2016 | 10,000.00 |
| Jun 30, 2015 | 15,000.00 |
API Access
Manhattan Bridge Capital Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=LOAN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "ticker": "LOAN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=asset-writedowns-and-impairment&ticker=LOAN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();