Skyline Bankshares (SLBK) Cash & Equivalents (2015 - 2017)
Skyline Bankshares (SLBK) reported Cash & Equivalents of $22.88 million for Q4 2017, down 36.3% from $35.91 million a year earlier.
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Analysis
Skyline Bankshares (SLBK) Cash & Equivalents (2015 - 2017) Analysis & Trends
Dating back to Q3 2015, Skyline Bankshares' Cash & Equivalents record includes 9 quarters.
- By year, Cash & Equivalents came in at $35.91 million in FY2016 (+345.8%) and $8.06 million in FY2015.
- The Q4 2017 figure ranks as the lowest quarterly Cash & Equivalents since Q2 2016.
- Year over year, Cash & Equivalents gained in four of the last five quarters, with growth averaging 142.6%.
Peer Set
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 | Skyline Bankshares | 160.81 Mn | 160.81 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2017 | 22.88 Mn |
| Jun 30, 2017 | 25.44 Mn |
| Mar 31, 2017 | 37.38 Mn |
| Dec 31, 2016 | 35.91 Mn |
| Sep 30, 2016 | 44.04 Mn |
| Jun 30, 2016 | 13.12 Mn |
| Mar 31, 2016 | 15.41 Mn |
| Dec 31, 2015 | 8.06 Mn |
| Sep 30, 2015 | 16.49 Mn |
API Access
Skyline Bankshares 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=SLBK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "SLBK", "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=SLBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();