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.
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 | 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 | Skyline Bankshares | 159.11 Mn | 159.11 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_KEY
import 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();