FS Bancorp (FSBW) Loans (2012 - 2016)
FS Bancorp's Loans came in at $52.55 million for Q4 2016, up 17.0% from $44.93 million a year earlier.
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Analysis
FS Bancorp (FSBW) Loans (2012 - 2016) Analysis & Trends
Going back to Q4 2012, FS Bancorp's Loans data covers 11 quarters.
- Loans has increased in each of the last four years, with a four-year compound annual growth rate of 56.0% (FY2012 to FY2016).
- Going back by year, Loans was $44.93 million in FY2015 (+72.9%), $25.98 million in FY2014 (+132.3%), $11.19 million in FY2013 (+26.1%) and $8.87 million in FY2012.
- The Q4 2016 figure represents the highest quarterly Loans in data going back to Q4 2012.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Loans (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | - |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | - |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | - |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 13.06 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | - |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | - |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | - |
| 10 | FS Bancorp | 325.38 Mn | 167.47 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2016 | 52.55 Mn |
| Dec 31, 2015 | 44.93 Mn |
| Dec 31, 2014 | 25.98 Mn |
| Sep 30, 2014 | 10.23 Mn |
| Jun 30, 2014 | 15.98 Mn |
| Mar 31, 2014 | 11.59 Mn |
| Dec 31, 2013 | 11.19 Mn |
| Sep 30, 2013 | 8.39 Mn |
| Jun 30, 2013 | 13.15 Mn |
| Mar 31, 2013 | 20.16 Mn |
| Dec 31, 2012 | 8.87 Mn |
API Access
FS Bancorp Loans 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=loans&ticker=FSBW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "loans", "ticker": "FSBW", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=loans&ticker=FSBW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();