Juniata Valley Financial (JUVF) Interest Expense - Fed Funds (2010 - 2019)
Juniata Valley Financial's Interest Expense - Fed Funds came in at $9,000 for Q3 2019, down 47.1% from $17,000 a year earlier and down 10.0% from the prior quarter.
Juniata Valley Financial (JUVF) Interest Expense - Fed Funds (2010 - 2019) Analysis & Trends
Over the trailing twelve months to Sep 30, 2019, Juniata Valley Financial reported Interest Expense - Fed Funds of $43,000, down 31.7% year-over-year; for FY2018, it came in at $62,000, up 100.0% from FY2017.
- Interest Expense - Fed Funds carries a five-year compound annual growth rate of 73.0% (FY2013 to FY2018).
- Going back by year, Interest Expense - Fed Funds was $31,000 in FY2017 (+520.0%), $5,000 in FY2016 (unchanged), $5,000 in FY2015 (+25.0%) and $4,000 in FY2014 (unchanged).
- The Q3 2019 figure represents the lowest quarterly Interest Expense - Fed Funds since Q3 2017.
- Year-over-year, Interest Expense - Fed Funds has declined for four consecutive quarters, with growth averaging 146.7% over the last eight quarters.
- The fastest year-over-year change in Interest Expense - Fed Funds over five years came in Q3 2017 (growth of 700.0%), and the weakest in Q3 2016 (a decline of 50.0%).
- Business Quant data shows JUVF's Interest Expense - Fed Funds at $10,000 (Q2 2019), $11,000 (Q1 2019) and $13,000 (Q4 2018) in the three quarters before Q3 2019.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - |
| 10 | Juniata Valley Financial | 78.28 Mn | 72.83 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2019 | 9,000.00 |
| Jun 30, 2019 | 10,000.00 |
| Mar 31, 2019 | 11,000.00 |
| Dec 31, 2018 | 13,000.00 |
| Sep 30, 2018 | 17,000.00 |
| Jun 30, 2018 | 17,000.00 |
| Mar 31, 2018 | 15,000.00 |
| Dec 31, 2017 | 14,000.00 |
| Sep 30, 2017 | 8,000.00 |
| Jun 30, 2017 | 6,000.00 |
| Mar 31, 2017 | 3,000.00 |
| Dec 31, 2016 | 2,000.00 |
| Sep 30, 2016 | 1,000.00 |
| Jun 30, 2016 | 1,000.00 |
| Mar 31, 2016 | 1,000.00 |
| Dec 31, 2015 | 1,000.00 |
| Sep 30, 2015 | 2,000.00 |
| Jun 30, 2015 | 1,000.00 |
| Mar 31, 2015 | 1,000.00 |
| Dec 31, 2014 | 1,000.00 |
Juniata Valley Financial Interest Expense - Fed Funds 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=interest-expense-fed-funds&ticker=JUVF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expense-fed-funds", "ticker": "JUVF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=interest-expense-fed-funds&ticker=JUVF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();