First Busey (BUSE) Service Charges (2010 - 2017)
First Busey (BUSE) recorded Service Charges of $4.08 million in Q1 2017, up 30.4% from $3.13 million a year earlier but down 3.6% from the prior quarter.
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Analysis
First Busey (BUSE) Service Charges (2010 - 2017) Analysis & Trends
On a TTM basis, First Busey's Service Charges came in at $16.74 million as of Mar 31, 2017, up 30.4% year-over-year; for FY2016, it was $15.79 million, up 25.3% from FY2015.
- Annual Service Charges has increased for four straight years, with a five-year compound annual growth rate of 4.6% (FY2011 to FY2016).
- Across earlier years, Service Charges came in at $12.6 million in FY2015 (+4.7%), $12.04 million in FY2014 (+0.8%), $11.95 million in FY2013 (+2.6%) and $11.65 million in FY2012 (-7.7%).
- Quarterly Service Charges has ranged from $2.7 million in Q1 2014 to $4.52 million in Q3 2016 over the past five years.
- On a year-over-year basis, Service Charges has increased for seven consecutive quarters, with growth averaging 17.7% over the last eight quarters.
- Peak year-over-year performance for Service Charges in the last five years was growth of 36.4% in Q3 2016, against a decline of 9.8% in Q3 2012 at the low end.
- Per Business Quant, the preceding three quarters came in at $4.23 million (Q4 2016), $4.52 million (Q3 2016) and $3.92 million (Q2 2016).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - |
| 10 | First Busey | 2.48 Bn | 794.99 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2017 | 4.08 Mn |
| Dec 31, 2016 | 4.23 Mn |
| Sep 30, 2016 | 4.52 Mn |
| Jun 30, 2016 | 3.92 Mn |
| Mar 31, 2016 | 3.13 Mn |
| Dec 31, 2015 | 3.31 Mn |
| Sep 30, 2015 | 3.31 Mn |
| Jun 30, 2015 | 3.10 Mn |
| Mar 31, 2015 | 2.88 Mn |
| Dec 31, 2014 | 3.06 Mn |
| Sep 30, 2014 | 3.18 Mn |
| Jun 30, 2014 | 3.11 Mn |
| Mar 31, 2014 | 2.70 Mn |
| Dec 31, 2013 | 3.07 Mn |
| Sep 30, 2013 | 3.13 Mn |
| Jun 30, 2013 | 3.02 Mn |
| Mar 31, 2013 | 2.73 Mn |
| Dec 31, 2012 | 3.00 Mn |
| Sep 30, 2012 | 2.96 Mn |
| Jun 30, 2012 | 2.87 Mn |
API Access
First Busey Service Charges 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=service-charges&ticker=BUSE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "service-charges", "ticker": "BUSE", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=service-charges&ticker=BUSE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();