Franklin Financial Services (FRAF) Equipment Expense (2009 - 2019)
Franklin Financial Services' Equipment Expense was $858,000 in Q2 2019, up 9.0% from $787,000 a year earlier and up 0.2% from the prior quarter.
Franklin Financial Services (FRAF) Equipment Expense (2009 - 2019) Analysis & Trends
On a trailing twelve-month basis, Franklin Financial Services' Equipment Expense was $3.32 million through Jun 30, 2019, up 4.4% year-over-year; for FY2018, it was $3.21 million, up 1.7% from FY2017.
- Equipment Expense shows a five-year compound annual growth rate of 26.9% (FY2013 to FY2018).
- In earlier years, Equipment Expense was $3.15 million in FY2017 (+1.0%), $3.12 million in FY2016 (-1.4%), $3.16 million in FY2015 (+224.2%) and $976,000 in FY2014 (+0.1%).
- The Q2 2019 figure marks the highest quarterly Equipment Expense since Q4 2015.
- Compared with a year earlier, Equipment Expense has increased for three straight quarters, with growth averaging 3.3% over the last eight quarters.
- The best year-over-year quarter for Equipment Expense over five years was Q4 2015 (growth of 909.0%); the worst was Q4 2016 (a decline of 69.3%).
- Per Business Quant data, FRAF's Equipment Expense in the three quarters before Q2 2019 was $856,000 (Q1 2019), $823,000 (Q4 2018) and $780,000 (Q3 2018).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Equipment Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | - |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | - |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | - |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 540.77 Mn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | - |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | - |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | Franklin Financial Services | 315.86 Mn | -401.27 Mn | - | - |
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 |
| Sep 30, 2017 | 809,000.00 |
| Jun 30, 2017 | 761,000.00 |
| Mar 31, 2017 | 815,000.00 |
| Sep 30, 2016 | 777,000.00 |
| Jun 30, 2016 | 218,000.00 |
| Mar 31, 2016 | 216,000.00 |
| 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 |
| Jun 30, 2014 | 237,000.00 |
| Mar 31, 2014 | 254,000.00 |
| Dec 31, 2013 | 245,000.00 |
Franklin Financial Services 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_KEY
import 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();