German American Bancorp, Inc. (GABC) Service Charges (2010 - 2018)
German American Bancorp (GABC) reported Service Charges of $1.47 million for Q1 2018, down 0.9% from $1.48 million a year earlier and down 8.5% from the prior quarter.
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Analysis
German American Bancorp, Inc. (GABC) Service Charges (2010 - 2018) Analysis & Trends
Over the twelve months ended Mar 31, 2018, German American Bancorp's Service Charges came in at $6.17 million, down 0.9% year-over-year; for FY2017, it came in at $6.18 million, up 3.4% from FY2016.
- Service Charges has a five-year compound annual growth rate of 8.7% (FY2012 to FY2017).
- By year, Service Charges came in at $5.97 million in FY2016 (+23.8%), $4.83 million in FY2015 (-0.1%), $4.83 million in FY2014 (+16.5%) and $4.14 million in FY2013 (+1.7%).
- The Q1 2018 figure ranks as the lowest quarterly Service Charges since Q1 2016.
- Year over year, Service Charges gained in five of the last eight quarters, with growth averaging 12.7%.
- The high point for year-over-year Service Charges in five years was Q3 2016 (growth of 30.3%); the low point was Q3 2015 (a decline of 4.8%).
- Per Business Quant data, the three quarters before Q1 2018 came in at $1.61 million (Q4 2017), $1.61 million (Q3 2017) and $1.48 million (Q2 2017).
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Historic Data
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Historic Data
| Date | Value |
|---|---|
| Mar 31, 2018 | 1.47 Mn |
| Dec 31, 2017 | 1.61 Mn |
| Sep 30, 2017 | 1.61 Mn |
| Jun 30, 2017 | 1.48 Mn |
| Mar 31, 2017 | 1.48 Mn |
| Dec 31, 2016 | 1.59 Mn |
| Sep 30, 2016 | 1.61 Mn |
| Jun 30, 2016 | 1.53 Mn |
| Mar 31, 2016 | 1.23 Mn |
| Dec 31, 2015 | 1.23 Mn |
| Sep 30, 2015 | 1.24 Mn |
| Jun 30, 2015 | 1.22 Mn |
| Mar 31, 2015 | 1.14 Mn |
| Dec 31, 2014 | 1.28 Mn |
| Sep 30, 2014 | 1.30 Mn |
| Jun 30, 2014 | 1.19 Mn |
| Mar 31, 2014 | 1.06 Mn |
| Dec 31, 2013 | 1.11 Mn |
| Sep 30, 2013 | 1.03 Mn |
| Jun 30, 2013 | 1.05 Mn |
API Access
German American Bancorp, Inc. 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=GABC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "service-charges", "ticker": "GABC", "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=GABC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();