Eagle Bancorp (EGBN) Cash & Equivalents (2011 - 2019)
Eagle Bancorp (EGBN) recorded Cash & Equivalents of $43.2 million in Q4 2019, down 40.6% from $72.78 million a year earlier.
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Analysis
Eagle Bancorp (EGBN) Cash & Equivalents (2011 - 2019) Analysis & Trends
Starting with Q4 2011, Eagle Bancorp's Cash & Equivalents history includes 9 quarters.
- Annual Cash & Equivalents has declined for three straight years, with a five-year compound annual growth rate of -29.9% (FY2014 to FY2019).
- Across earlier years, Cash & Equivalents came in at $72.78 million in FY2018 (-61.8%), $190.47 million in FY2017 (-48.3%), $368.16 million in FY2016 (+460.4%) and $65.69 million in FY2015 (-74.3%).
- The Q4 2019 figure is the lowest quarterly Cash & Equivalents in data going back to Q4 2011.
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 | Eagle Bancorp | 1.03 Bn | 1.03 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2019 | 43.20 Mn |
| Dec 31, 2018 | 72.78 Mn |
| Dec 31, 2017 | 190.47 Mn |
| Dec 31, 2016 | 368.16 Mn |
| Dec 31, 2015 | 65.69 Mn |
| Dec 31, 2014 | 256.03 Mn |
| Dec 31, 2013 | 306.96 Mn |
| Dec 31, 2012 | 339.33 Mn |
| Dec 31, 2011 | 232.41 Mn |
API Access
Eagle Bancorp 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=EGBN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "EGBN", "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=EGBN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();