Peoples Financial (PFBX) Real Estate - Net (2010 - 2017)
Peoples Financial (PFBX) recorded Real Estate - Net of $8.23 million in Q4 2017, down 3.3% from $8.51 million a year earlier.
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Analysis
Peoples Financial (PFBX) Real Estate - Net (2010 - 2017) Analysis & Trends
Starting with Q4 2010, Peoples Financial's Real Estate - Net history includes 9 quarters.
- Annual Real Estate - Net has a five-year compound annual growth rate of 3.3% (FY2012 to FY2017).
- Across earlier years, Real Estate - Net came in at $8.51 million in FY2016 (-14.1%), $9.92 million in FY2015 (+29.7%), $7.65 million in FY2014 (-20.6%) and $9.63 million in FY2013 (+37.4%).
- The Q4 2017 figure is the lowest quarterly Real Estate - Net since Q4 2014.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - |
| 10 | Peoples Financial | 111.05 Mn | 111.05 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2017 | 8.23 Mn |
| Dec 31, 2016 | 8.51 Mn |
| Dec 31, 2015 | 9.92 Mn |
| Dec 31, 2014 | 7.65 Mn |
| Dec 31, 2013 | 9.63 Mn |
| Mar 31, 2013 | 6.66 Mn |
| Dec 31, 2012 | 7.01 Mn |
| Dec 31, 2011 | 6.15 Mn |
| Dec 31, 2010 | 5.74 Mn |
API Access
Peoples Financial Real Estate - Net 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=real-estate-net&ticker=PFBX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "real-estate-net", "ticker": "PFBX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=real-estate-net&ticker=PFBX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();