Bank Of The James Financial (BOTJ) Interest Expense - Fed Funds (2010 - 2017)
Bank Of The James Financial's Interest Expense - Fed Funds came in at $13,000 for FY2017, up 225.0% from $4,000 in FY2016.
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Analysis
Bank Of The James Financial (BOTJ) Interest Expense - Fed Funds (2010 - 2017) Analysis & Trends
Going back to FY2010, Bank Of The James Financial's Interest Expense - Fed Funds data covers 8 years.
- Interest Expense - Fed Funds carries a five-year compound annual growth rate of -2.8% (FY2012 to FY2017).
- The FY2017 figure represents the highest annual Interest Expense - Fed Funds since FY2012.
- Per Business Quant, earlier years put Interest Expense - Fed Funds at $4,000 in FY2016 (+100.0%), $2,000 in FY2015 (-77.8%), $9,000 in FY2014 (+800.0%) and $1,000 in FY2013 (-93.3%).
Peer Set
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 | Bank Of The James Financial | 121.90 Mn | 121.90 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2017 | 13,000.00 |
| Mar 31, 2016 | 4,000.00 |
| Sep 30, 2015 | 1,000.00 |
| Mar 31, 2015 | 1,000.00 |
| Dec 31, 2014 | 5,000.00 |
| Sep 30, 2014 | 2,000.00 |
| Mar 31, 2014 | 2,000.00 |
| Mar 31, 2012 | 15,000.00 |
| Dec 31, 2011 | 20,000.00 |
| Sep 30, 2011 | 21,000.00 |
| Jun 30, 2011 | 18,000.00 |
| Mar 31, 2011 | 16,000.00 |
| Dec 31, 2010 | 21,000.00 |
| Sep 30, 2010 | 30,000.00 |
| Jun 30, 2010 | 32,000.00 |
API Access
Bank Of The James 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=BOTJ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expense-fed-funds", "ticker": "BOTJ", "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=BOTJ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();