Bank of New York Mellon (BNY) Restructuring Costs (2009 - 2015)
Bank of New York Mellon's Restructuring Costs came in at $54 million for Q4 2015, up 260.0% from the prior quarter.
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Analysis
Bank of New York Mellon (BNY) Restructuring Costs (2009 - 2015) Analysis & Trends
For FY2015, Bank of New York Mellon's Restructuring Costs was $75 million, up 27.1% from FY2014.
- Restructuring Costs carries a five-year compound annual growth rate of 21.8% (FY2010 to FY2015).
- Going back by year, Restructuring Costs was $59 million in FY2014.
- The Q4 2015 figure represents the highest quarterly Restructuring Costs since Q2 2014.
- Business Quant data shows BNY's Restructuring Costs at $15 million (Q3 2015), $8 million (Q2 2015) and -$2 million (Q1 2015) in the three quarters before Q4 2015.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Robinhood Markets | 104.70 Bn | 85.79 Bn | - |
| 2 | Bank of New York Mellon | 100.72 Bn | 40.09 Bn | - |
| 3 | Cme | 94.58 Bn | 94.58 Bn | - |
| 4 | Intercontinental Exchange | 85.83 Bn | 79.63 Bn | - |
| 5 | Nasdaq | 52.05 Bn | 49.49 Bn | 1.50 Bn |
| 6 | State Street | 49.39 Bn | 49.39 Bn | - |
| 7 | Interactive Brokers | 39.24 Bn | 32.69 Bn | - |
| 8 | Northern Trust | 31.94 Bn | 31.94 Bn | - |
| 9 | Cboe Global Markets | 26.47 Bn | 18.13 Bn | 731.60 Mn |
| 10 | LPL Financial Holdings | 24.62 Bn | 19.94 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2015 | 54.00 Mn |
| Sep 30, 2015 | 15.00 Mn |
| Jun 30, 2015 | 8.00 Mn |
| Mar 31, 2015 | -2.00 Mn |
| Sep 30, 2014 | 53.00 Mn |
| Jun 30, 2014 | 125.00 Mn |
| Dec 31, 2010 | 21.00 Mn |
| Sep 30, 2010 | 15.00 Mn |
| Jun 30, 2010 | -15.00 Mn |
| Mar 31, 2010 | 7.00 Mn |
| Dec 31, 2009 | 139.00 Mn |
| Sep 30, 2009 | -5.00 Mn |
| Jun 30, 2009 | 6.00 Mn |
API Access
Bank of New York Mellon Restructuring Costs 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=restructuring-costs&ticker=BNY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=BNY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();