Franklin Financial Services Corp /Pa/ (FRAF) Mortgage Banking (2010 - 2015)
Franklin Financial Services (FRAF) recorded Mortgage Banking of $1,000 in Q4 2015, compared with -$10,000 a year earlier and down 80.0% from the prior quarter.
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Analysis
Franklin Financial Services Corp /Pa/ (FRAF) Mortgage Banking (2010 - 2015) Analysis & Trends
For FY2015, Franklin Financial Services reported Mortgage Banking of $31,000, down 16.2% from FY2014.
- Annual Mortgage Banking has a five-year compound annual growth rate of -26.6% (FY2010 to FY2015).
- Across earlier years, Mortgage Banking came in at $37,000 in FY2014 (-21.3%), $47,000 in FY2013 (+683.3%), $6,000 in FY2012 and -$72,000 in FY2011.
- Quarterly Mortgage Banking has ranged from -$53,000 in Q3 2011 to $47,000 in Q1 2012 over the past five years.
- Peak year-over-year performance for Mortgage Banking in the last five years was growth of 370.0% in Q1 2012, against a decline of 86.8% in Q4 2011 at the low end.
- Per Business Quant, the preceding three quarters came in at $5,000 (Q3 2015), $17,000 (Q2 2015) and $8,000 (Q1 2015).
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Historic Data
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Historic Data
| Date | Value |
|---|---|
| Dec 31, 2015 | 1,000.00 |
| Sep 30, 2015 | 5,000.00 |
| Jun 30, 2015 | 17,000.00 |
| Mar 31, 2015 | 8,000.00 |
| Dec 31, 2014 | -10,000.00 |
| Sep 30, 2014 | 15,000.00 |
| Jun 30, 2014 | 19,000.00 |
| Mar 31, 2014 | 12,000.00 |
| Dec 31, 2013 | 11,000.00 |
| Sep 30, 2013 | 18,000.00 |
| Jun 30, 2013 | 40,000.00 |
| Mar 31, 2013 | -22,000.00 |
| Dec 31, 2012 | 14,000.00 |
| Sep 30, 2012 | -27,000.00 |
| Jun 30, 2012 | -27,000.00 |
| Mar 31, 2012 | 47,000.00 |
| Dec 31, 2011 | 16,000.00 |
| Sep 30, 2011 | -53,000.00 |
| Jun 30, 2011 | -45,000.00 |
| Mar 31, 2011 | 10,000.00 |
API Access
Franklin Financial Services Corp /Pa/ Mortgage Banking 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=mortgage-banking&ticker=FRAF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "mortgage-banking", "ticker": "FRAF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=mortgage-banking&ticker=FRAF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();