Community Financial System (CBU) Cash & Equivalents (2012 - 2016)
Community Financial System's Cash & Equivalents was $173.86 million in Q4 2016, up 13.5% from $153.21 million a year earlier.
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Analysis
Community Financial System (CBU) Cash & Equivalents (2012 - 2016) Analysis & Trends
From Q4 2012 onward, Community Financial System has reported Cash & Equivalents for 5 quarters.
- Cash & Equivalents shows a four-year compound annual growth rate of -6.6% (FY2012 to FY2016).
- In earlier years, Cash & Equivalents was $153.21 million in FY2015 (+10.7%), $138.4 million in FY2014 (-7.5%), $149.65 million in FY2013 (-34.5%) and $228.56 million in FY2012.
- The Q4 2016 figure marks the highest quarterly Cash & Equivalents since Q4 2012.
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 | Community Financial System | 3.28 Bn | 3.27 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2016 | 173.86 Mn |
| Dec 31, 2015 | 153.21 Mn |
| Dec 31, 2014 | 138.40 Mn |
| Dec 31, 2013 | 149.65 Mn |
| Dec 31, 2012 | 228.56 Mn |
API Access
Community Financial System 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=CBU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "CBU", "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=CBU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();