Bankwell Financial (BWFG) Cash & Equivalents (2013 - 2019)
Bankwell Financial (BWFG) posted Cash & Equivalents of $93.59 million for Q1 2019, up 12.3% from $83.37 million a year earlier and up 19.8% from the prior quarter.
Bankwell Financial (BWFG) Cash & Equivalents (2013 - 2019) Analysis & Trends
At the end of FY2018, Bankwell Financial's Cash & Equivalents came in at $78.11 million, up 10.4% from FY2017.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of -1.0% (FY2013 to FY2018).
- In prior years, Bankwell Financial's Cash & Equivalents was $70.73 million in FY2017 (-26.6%), $96.36 million in FY2016 (+8.8%), $88.6 million in FY2015 (+82.5%) and $48.56 million in FY2014 (-40.8%).
- The Q1 2019 figure stands as the highest quarterly Cash & Equivalents since Q4 2016.
- On a year-over-year basis, Cash & Equivalents increased in four of the last six quarters, with growth averaging 0.6%.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q1 2016, with growth of 274.2%; the weakest was Q1 2015, with a decline of 76.4%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $78.11 million (Q4 2018), $87.1 million (Q3 2018) and $89.32 million (Q2 2018).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | - |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 229.75 Bn |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | 29.08 Bn |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | 160.14 Bn |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | 46.00 Bn |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | 187.27 Bn |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | - |
| 10 | Bankwell Financial | 531.41 Mn | -182.13 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2019 | 93.59 Mn |
| Dec 31, 2018 | 78.11 Mn |
| Sep 30, 2018 | 87.10 Mn |
| Jun 30, 2018 | 89.32 Mn |
| Mar 31, 2018 | 83.37 Mn |
| Dec 31, 2017 | 70.73 Mn |
| Jun 30, 2017 | 85.99 Mn |
| Mar 31, 2017 | 73.96 Mn |
| Dec 31, 2016 | 96.36 Mn |
| Sep 30, 2016 | 96.09 Mn |
| Jun 30, 2016 | 94.68 Mn |
| Mar 31, 2016 | 72.71 Mn |
| Dec 31, 2015 | 88.60 Mn |
| Sep 30, 2015 | 86.83 Mn |
| Jun 30, 2015 | 75.55 Mn |
| Mar 31, 2015 | 19.43 Mn |
| Dec 31, 2014 | 48.56 Mn |
| Sep 30, 2014 | 35.57 Mn |
| Jun 30, 2014 | 130.54 Mn |
| Mar 31, 2014 | 82.25 Mn |
Bankwell 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=BWFG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "BWFG", "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=BWFG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();