Simmons First National (SFNC) Professional Fees (2009 - 2018)
Simmons First National's Professional Fees came in at $4.33 million for Q1 2018, down 16.2% from $5.17 million a year earlier and down 32.6% from the prior quarter.
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Analysis
Simmons First National (SFNC) Professional Fees (2009 - 2018) Analysis & Trends
Over the trailing twelve months to Mar 31, 2018, Simmons First National reported Professional Fees of $18.66 million, up 14.4% year-over-year; for FY2017, it was $19.5 million, up 33.3% from FY2016.
- Professional Fees has increased in each of the last four years, with a five-year compound annual growth rate of 32.1% (FY2012 to FY2017).
- Going back by year, Professional Fees was $14.63 million in FY2016 (+52.7%), $9.58 million in FY2015 (+27.5%), $7.52 million in FY2014 (+68.0%) and $4.47 million in FY2013 (-7.8%).
- The five-year range for quarterly Professional Fees is $913,000 (Q3 2013) to $6.42 million (Q4 2017).
- Year-over-year, Professional Fees increased in seven of the last eight quarters, with growth averaging 31.3%.
- The fastest year-over-year change in Professional Fees over five years came in Q3 2014 (growth of 141.1%), and the weakest in Q4 2013 (a decline of 20.7%).
- Business Quant data shows SFNC's Professional Fees at $6.42 million (Q4 2017), $3.95 million (Q3 2017) and $3.96 million (Q2 2017) in the three quarters before Q1 2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Professional Fees (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 3.90 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 606.00 Mn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 700.00 Mn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 411.67 Mn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 424.00 Mn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 1.17 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | Simmons First National | 3.42 Bn | 765.02 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2018 | 4.33 Mn |
| Dec 31, 2017 | 6.42 Mn |
| Sep 30, 2017 | 3.95 Mn |
| Jun 30, 2017 | 3.96 Mn |
| Mar 31, 2017 | 5.17 Mn |
| Dec 31, 2016 | 4.95 Mn |
| Sep 30, 2016 | 3.28 Mn |
| Jun 30, 2016 | 2.91 Mn |
| Mar 31, 2016 | 3.50 Mn |
| Dec 31, 2015 | 3.34 Mn |
| Sep 30, 2015 | 2.11 Mn |
| Jun 30, 2015 | 2.26 Mn |
| Mar 31, 2015 | 1.80 Mn |
| Dec 31, 2014 | 2.07 Mn |
| Sep 30, 2014 | 2.20 Mn |
| Jun 30, 2014 | 1.87 Mn |
| Mar 31, 2014 | 1.35 Mn |
| Dec 31, 2013 | 1.31 Mn |
| Sep 30, 2013 | 913,000.00 |
| Jun 30, 2013 | 1.11 Mn |
API Access
Simmons First National Professional Fees 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=professional-fees&ticker=SFNC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "professional-fees", "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=professional-fees&ticker=SFNC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();