Bank Of Hawaii (BOH) Cash & Equivalents (2016 - 2018)
Bank Of Hawaii's Cash & Equivalents was $565.23 million in Q1 2018, down 24.0% from $743.52 million a year earlier but up 26.2% from the prior quarter.
Bank Of Hawaii (BOH) Cash & Equivalents (2016 - 2018) Analysis & Trends
At the end of FY2017, Cash & Equivalents at Bank Of Hawaii came in at $447.85 million, down 49.1% from FY2016.
- In earlier years, Cash & Equivalents was $879.61 million in FY2016.
- Quarterly Cash & Equivalents has moved between $447.85 million (Q4 2017) and $879.61 million (Q4 2016) over five years.
- Per Business Quant data, BOH's Cash & Equivalents in the three quarters before Q1 2018 was $447.85 million (Q4 2017), $761.52 million (Q3 2017) and $874.23 million (Q2 2017).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 886.05 Bn | 915.53 Bn | - | - |
| 2 | Banco Santander Chile | 409.93 Bn | 529.88 Bn | - | - |
| 3 | Bank Of America | 377.01 Bn | -1,999.06 Bn | - | 229.75 Bn |
| 4 | Hsbc Holdings | 329.11 Bn | 329.16 Bn | - | 29.08 Bn |
| 5 | Morgan Stanley | 295.54 Bn | -213.55 Bn | - | 160.14 Bn |
| 6 | Royal Bank Of Canada | 273.59 Bn | 124.33 Bn | - | 46.00 Bn |
| 7 | Mitsubishi Ufj Financial | 268.33 Bn | -1,320.16 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 261.29 Bn | -3,295.82 Bn | - | 187.27 Bn |
| 9 | Wells Fargo & Company | 243.13 Bn | 245.26 Bn | - | - |
| 10 | Bank Of Hawaii | 2.71 Bn | 2.71 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2018 | 565.23 Mn |
| Dec 31, 2017 | 447.85 Mn |
| Sep 30, 2017 | 761.52 Mn |
| Jun 30, 2017 | 874.23 Mn |
| Mar 31, 2017 | 743.52 Mn |
| Dec 31, 2016 | 879.61 Mn |
Bank Of Hawaii 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=BOH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "BOH", "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=BOH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();