Manhattan Bridge Capital (LOAN) Non-Current Assets (2010 - 2017)
Manhattan Bridge Capital's Non-Current Assets came in at $8.6 million for Q1 2017, down 13.8% from $9.97 million a year earlier but up 16.7% from the prior quarter.
Powered by 
Analysis
Manhattan Bridge Capital (LOAN) Non-Current Assets (2010 - 2017) Analysis & Trends
At the end of FY2016, Manhattan Bridge Capital's Non-Current Assets was $7.37 million, down 32.6% from FY2015.
- Non-Current Assets carries a five-year compound annual growth rate of 21.1% (FY2011 to FY2016).
- Going back by year, Non-Current Assets was $10.94 million in FY2015 (+117.9%), $5.02 million in FY2014 (+19.0%), $4.22 million in FY2013 (+45.5%) and $2.9 million in FY2012 (+2.5%).
- The five-year range for quarterly Non-Current Assets is $2.9 million (Q4 2012) to $13.7 million (Q3 2015).
- Year-over-year, Non-Current Assets has declined for four consecutive quarters, with growth averaging 37.0% over the last eight quarters.
- The fastest year-over-year change in Non-Current Assets over five years came in Q2 2012 (growth of 403.2%), and the weakest in Q3 2016 (a decline of 39.1%).
- Business Quant data shows LOAN's Non-Current Assets at $7.37 million (Q4 2016), $8.34 million (Q3 2016) and $8.98 million (Q2 2016) in the three quarters before Q1 2017.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Rocket Companies | 43.90 Bn | 29.58 Bn | - | - |
| 2 | Orix | 42.96 Bn | 43.46 Bn | - | - |
| 3 | Royalty Pharma | 33.48 Bn | 33.39 Bn | - | 18.06 Bn |
| 4 | Federal National Mortgage Association Fannie Mae | 23.94 Bn | 23.94 Bn | - | - |
| 5 | Affirm Holdings | 23.37 Bn | 17.06 Bn | - | - |
| 6 | Synchrony Financial | 23.31 Bn | -44.66 Bn | - | - |
| 7 | Royal Gold | 20.23 Bn | 19.45 Bn | 390.45 Mn | 9.08 Bn |
| 8 | Annaly Capital Management | 15.24 Bn | 6.34 Bn | - | - |
| 9 | Ares Capital | 13.90 Bn | 11.34 Bn | - | - |
| 10 | Manhattan Bridge Capital | 42.62 Mn | 41.73 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2017 | 8.60 Mn |
| Dec 31, 2016 | 7.37 Mn |
| Sep 30, 2016 | 8.34 Mn |
| Jun 30, 2016 | 8.98 Mn |
| Mar 31, 2016 | 9.97 Mn |
| Dec 31, 2015 | 10.94 Mn |
| Sep 30, 2015 | 13.70 Mn |
| Jun 30, 2015 | 11.27 Mn |
| Mar 31, 2015 | 6.98 Mn |
| Dec 31, 2014 | 5.02 Mn |
| Sep 30, 2014 | 5.46 Mn |
| Jun 30, 2014 | 5.93 Mn |
| Mar 31, 2014 | 3.29 Mn |
| Dec 31, 2013 | 4.22 Mn |
| Sep 30, 2013 | 4.30 Mn |
| Jun 30, 2013 | 3.66 Mn |
| Mar 31, 2013 | 3.62 Mn |
| Dec 31, 2012 | 2.90 Mn |
| Sep 30, 2012 | 3.39 Mn |
| Jun 30, 2012 | 4.85 Mn |
API Access
Manhattan Bridge Capital Non-Current Assets 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=non-current-assets&ticker=LOAN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=LOAN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();