Franklin Financial Services Corp /Pa/ (FRAF) Equipment Expense (2010 - 2019)
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Analysis
Franklin Financial Services Corp /Pa/ (FRAF) Equipment Expense (2010 - 2019) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2019 | 858,000.00 |
| Mar 31, 2019 | 856,000.00 |
| Dec 31, 2018 | 823,000.00 |
| Sep 30, 2018 | 780,000.00 |
| Jun 30, 2018 | 787,000.00 |
| Mar 31, 2018 | 815,000.00 |
| Dec 31, 2017 | 766,000.00 |
| Sep 30, 2017 | 809,000.00 |
| Jun 30, 2017 | 761,000.00 |
| Mar 31, 2017 | 815,000.00 |
| Dec 31, 2016 | 757,000.00 |
| Sep 30, 2016 | 777,000.00 |
| Jun 30, 2016 | 218,000.00 |
| Mar 31, 2016 | 216,000.00 |
| Dec 31, 2015 | 2.46 Mn |
| Sep 30, 2015 | 232,000.00 |
| Jun 30, 2015 | 239,000.00 |
| Mar 31, 2015 | 231,000.00 |
| Dec 31, 2014 | 244,000.00 |
| Sep 30, 2014 | 241,000.00 |
API Access
Franklin Financial Services Corp /Pa/ Equipment Expense 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=equipment-expense&ticker=FRAF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "equipment-expense", "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=equipment-expense&ticker=FRAF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();