Mercantile Bank (MBWM) Cash & Equivalents (2010 - 2019)
Mercantile Bank's Cash & Equivalents was $6.05 million in Q4 2019, down 37.4% from $9.65 million a year earlier.
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Analysis
Mercantile Bank (MBWM) Cash & Equivalents (2010 - 2019) Analysis & Trends
From Q4 2010 onward, Mercantile Bank has reported Cash & Equivalents for 10 quarters.
- Cash & Equivalents shows a five-year compound annual growth rate of 33.2% (FY2014 to FY2019).
- In earlier years, Cash & Equivalents was $9.65 million in FY2018 (-0.5%), $9.7 million in FY2017 (+128.0%), $4.26 million in FY2016 (-13.8%) and $4.94 million in FY2015 (+242.8%).
- The Q4 2019 figure marks the lowest quarterly Cash & Equivalents since Q4 2016.
Peer Set
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 | Mercantile Bank | 1.03 Bn | 1.03 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2019 | 6.05 Mn |
| Dec 31, 2018 | 9.65 Mn |
| Dec 31, 2017 | 9.70 Mn |
| Dec 31, 2016 | 4.26 Mn |
| Dec 31, 2015 | 4.94 Mn |
| Dec 31, 2014 | 1.44 Mn |
| Dec 31, 2013 | 2.51 Mn |
| Dec 31, 2012 | 473,000.00 |
| Dec 31, 2011 | 542,000.00 |
| Dec 31, 2010 | 1.23 Mn |
API Access
Mercantile Bank 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=MBWM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "MBWM", "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=MBWM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();