Simmons First National (SFNC) Cash & Equivalents (2010 - 2018)
Simmons First National (SFNC) posted Cash & Equivalents of $859.66 million for Q1 2018.
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Analysis
Simmons First National (SFNC) Cash & Equivalents (2010 - 2018) Analysis & Trends
At the end of FY2013, Simmons First National's Cash & Equivalents came in at $539.38 million, up 0.3% from FY2012.
- Annual Cash & Equivalents shows a four-year compound annual growth rate of 11.1% (FY2009 to FY2013).
- In prior years, Simmons First National's Cash & Equivalents was $537.8 million in FY2012 (-5.7%), $570.21 million in FY2011 (+26.1%), $452.06 million in FY2010 (+27.9%) and $353.59 million in FY2009.
- The Q1 2018 figure stands as the lowest quarterly Cash & Equivalents since Q4 2013.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 881.30 Bn | 881.30 Bn | - | - |
| 2 | Bank Of America | 354.90 Bn | -2,021.17 Bn | - | 229.75 Bn |
| 3 | Hsbc Holdings | 311.39 Bn | -1,517.77 Bn | - | 227.80 Bn |
| 4 | Morgan Stanley | 282.15 Bn | -226.95 Bn | - | 160.14 Bn |
| 5 | Royal Bank Of Canada | 281.68 Bn | -548.32 Bn | - | 45.78 Bn |
| 6 | Goldman Sachs | 255.22 Bn | -3,301.89 Bn | - | 187.27 Bn |
| 7 | Mitsubishi Ufj Financial | 249.82 Bn | -82.42 Bn | 10.89 Bn | - |
| 8 | Wells Fargo & Company | 249.49 Bn | 251.62 Bn | - | - |
| 9 | Toronto Dominion Bank | 210.53 Bn | -465.35 Bn | - | 4.86 Bn |
| 10 | Simmons First National | 3.37 Bn | 3.31 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2018 | 859.66 Mn |
| Dec 31, 2013 | 539.38 Mn |
| Dec 31, 2012 | 537.80 Mn |
| Dec 31, 2011 | 570.21 Mn |
| Dec 31, 2010 | 452.06 Mn |
API Access
Simmons First National Cash & Equivalents 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=cash-and-equivalents&ticker=SFNC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "SFNC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=cash-and-equivalents&ticker=SFNC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();