Bgc (BGC) Accumulated Expenses (2011 - 2020)
Bgc (BGC) posted Accumulated Expenses of $890.69 million for Q4 2020, unchanged from $890.65 million a year earlier.
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Analysis
Bgc (BGC) Accumulated Expenses (2011 - 2020) Analysis & Trends
Since Q4 2011, Bgc has reported Accumulated Expenses for 10 quarters.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 23.9% (FY2015 to FY2020).
- In prior years, Bgc's Accumulated Expenses was $890.65 million in FY2019 (+91.0%), $466.31 million in FY2018 (+9.5%), $425.73 million in FY2017 (+9.2%) and $389.75 million in FY2016 (+27.9%).
- The Q4 2020 figure stands as the highest quarterly Accumulated Expenses in data going back to Q4 2011.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Cme | 108.60 Bn | 96.94 Bn | - |
| 2 | Bank of New York Mellon | 103.36 Bn | 36.98 Bn | - |
| 3 | Intercontinental Exchange | 97.74 Bn | 90.63 Bn | - |
| 4 | Robinhood Markets | 76.13 Bn | 55.67 Bn | - |
| 5 | Nasdaq | 60.59 Bn | 58.02 Bn | 1.48 Bn |
| 6 | State Street | 47.13 Bn | 47.13 Bn | - |
| 7 | Cboe Global Markets | 36.84 Bn | 27.32 Bn | 712.20 Mn |
| 8 | Interactive Brokers | 35.29 Bn | 11.60 Bn | - |
| 9 | Northern Trust | 32.36 Bn | 32.36 Bn | - |
| 10 | Bgc | 5.16 Bn | 1.99 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2020 | 890.69 Mn |
| Dec 31, 2019 | 890.65 Mn |
| Dec 31, 2018 | 466.31 Mn |
| Dec 31, 2017 | 425.73 Mn |
| Dec 31, 2016 | 389.75 Mn |
| Dec 31, 2015 | 304.83 Mn |
| Dec 31, 2014 | 332.73 Mn |
| Dec 31, 2013 | 218.15 Mn |
| Dec 31, 2012 | 177.96 Mn |
| Dec 31, 2011 | 150.77 Mn |
API Access
Bgc Accumulated Expenses 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=accumulated-expenses&ticker=BGC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "BGC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=BGC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();