Franklin Financial Services Corp /Pa/ (FRAF) Change in Accrued Expenses (2010 - 2013)
Analysis
Franklin Financial Services Corp /Pa/ (FRAF) Change in Accrued Expenses (2010 - 2013) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2013 | -228,000.00 |
| Sep 30, 2013 | 1.37 Mn |
| Jun 30, 2013 | -677,000.00 |
| Mar 31, 2013 | 412,000.00 |
| Dec 31, 2012 | 5.00 Mn |
| Sep 30, 2012 | -1.31 Mn |
| Jun 30, 2012 | 477,000.00 |
| Mar 31, 2012 | -326,000.00 |
| Dec 31, 2011 | 2.89 Mn |
| Sep 30, 2011 | -1.11 Mn |
| Jun 30, 2011 | -2.71 Mn |
| Mar 31, 2011 | 1.62 Mn |
| Dec 31, 2010 | -308,000.00 |
| Sep 30, 2010 | -337,000.00 |
API Access
Franklin Financial Services Corp /Pa/ Change in Accrued Expenses 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=change-in-accrued-expenses&ticker=FRAF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accrued-expenses", "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=change-in-accrued-expenses&ticker=FRAF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();