Bank of New York Mellon (BNY) Cash & Equivalents (2010 - 2019)
Bank of New York Mellon (BNY) posted Cash & Equivalents of $5.98 billion for Q1 2019, up 29.0% from $4.64 billion a year earlier and up 2.0% from the prior quarter.
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Analysis
Bank of New York Mellon (BNY) Cash & Equivalents (2010 - 2019) Analysis & Trends
At the end of FY2018, Bank of New York Mellon's Cash & Equivalents came in at $5.86 billion, up 9.0% from FY2017.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of -1.9% (FY2013 to FY2018).
- In prior years, Bank of New York Mellon's Cash & Equivalents was $5.38 billion in FY2017 (+11.6%), $4.82 billion in FY2016 (-26.2%), $6.54 billion in FY2015 (-6.2%) and $6.97 billion in FY2014 (+7.9%).
- The Q1 2019 figure stands as the highest quarterly Cash & Equivalents since Q4 2015.
- On a year-over-year basis, Cash & Equivalents increased in five of the last eight quarters, with growth averaging 4.2%.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q1 2017, with growth of 36.6%; the weakest was Q1 2016, with a decline of 45.2%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $5.86 billion (Q4 2018), $5.05 billion (Q3 2018) and $5.36 billion (Q2 2018).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 101.35 Bn | 82.45 Bn | - | 5.36 Bn |
| 2 | Bank of New York Mellon | 98.65 Bn | 38.02 Bn | - | - |
| 3 | Cme | 94.54 Bn | 94.54 Bn | - | 2.14 Bn |
| 4 | Intercontinental Exchange | 84.23 Bn | 78.04 Bn | - | 1.07 Bn |
| 5 | Nasdaq | 50.77 Bn | 48.20 Bn | 1.50 Bn | 520.00 Mn |
| 6 | State Street | 48.31 Bn | 48.31 Bn | - | - |
| 7 | Interactive Brokers | 39.79 Bn | 33.24 Bn | - | 7.71 Bn |
| 8 | Northern Trust | 31.37 Bn | 31.37 Bn | - | - |
| 9 | Cboe Global Markets | 28.34 Bn | 20.00 Bn | 731.60 Mn | 2.28 Bn |
| 10 | LPL Financial Holdings | 24.92 Bn | 20.24 Bn | - | 1.28 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2019 | 5.98 Bn |
| Dec 31, 2018 | 5.86 Bn |
| Sep 30, 2018 | 5.05 Bn |
| Jun 30, 2018 | 5.36 Bn |
| Mar 31, 2018 | 4.64 Bn |
| Dec 31, 2017 | 5.38 Bn |
| Sep 30, 2017 | 5.56 Bn |
| Jun 30, 2017 | 4.73 Bn |
| Mar 31, 2017 | 5.37 Bn |
| Dec 31, 2016 | 4.82 Bn |
| Sep 30, 2016 | 4.96 Bn |
| Jun 30, 2016 | 5.81 Bn |
| Mar 31, 2016 | 3.93 Bn |
| Dec 31, 2015 | 6.54 Bn |
| Sep 30, 2015 | 8.23 Bn |
| Jun 30, 2015 | 8.35 Bn |
| Mar 31, 2015 | 7.17 Bn |
| Dec 31, 2014 | 6.97 Bn |
| Sep 30, 2014 | 6.41 Bn |
| Jun 30, 2014 | 6.17 Bn |
API Access
Bank of New York Mellon 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=BNY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "BNY", "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=BNY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();