Bok Financial (BOKF) Cash & Equivalents (2009 - 2018)
Bok Financial (BOKF) recorded Cash & Equivalents of $1.14 billion in Q4 2018, down 50.7% from $2.32 billion a year earlier.
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Analysis
Bok Financial (BOKF) Cash & Equivalents (2009 - 2018) Analysis & Trends
Starting with Q4 2009, Bok Financial's Cash & Equivalents history includes 9 quarters.
- Annual Cash & Equivalents has declined for three straight years, though with a five-year compound annual growth rate of 1.0% (FY2013 to FY2018).
- Across earlier years, Cash & Equivalents came in at $2.32 billion in FY2017 (-8.7%), $2.54 billion in FY2016 (-4.0%), $2.64 billion in FY2015 (+6.8%) and $2.48 billion in FY2014 (+127.7%).
- The Q4 2018 figure is the lowest quarterly Cash & Equivalents since Q4 2013.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 881.30 Bn | 881.30 Bn | - | - |
| 2 | Bank Of America | 354.90 Bn | -2,021.17 Bn | - | 229.75 Bn |
| 3 | Hsbc Holdings | 311.39 Bn | -1,517.77 Bn | - | 227.80 Bn |
| 4 | Morgan Stanley | 282.15 Bn | -226.95 Bn | - | 160.14 Bn |
| 5 | Royal Bank Of Canada | 281.68 Bn | -548.32 Bn | - | 45.78 Bn |
| 6 | Goldman Sachs | 255.22 Bn | -3,301.89 Bn | - | 187.27 Bn |
| 7 | Mitsubishi Ufj Financial | 249.82 Bn | -82.42 Bn | 10.89 Bn | - |
| 8 | Wells Fargo & Company | 249.49 Bn | 251.62 Bn | - | - |
| 9 | Toronto Dominion Bank | 210.53 Bn | -465.35 Bn | - | 4.86 Bn |
| 10 | Bok Financial | 7.82 Bn | -12.44 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | 1.14 Bn |
| Dec 31, 2017 | 2.32 Bn |
| Dec 31, 2016 | 2.54 Bn |
| Dec 31, 2015 | 2.64 Bn |
| Dec 31, 2014 | 2.48 Bn |
| Dec 31, 2013 | 1.09 Bn |
| Dec 31, 2011 | 986.37 Mn |
| Dec 31, 2010 | 1.27 Bn |
| Dec 31, 2009 | 921.22 Mn |
API Access
Bok Financial Cash & Equivalents 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=cash-and-equivalents&ticker=BOKF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "BOKF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=cash-and-equivalents&ticker=BOKF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();