State Street (STT) Professional Fees (2009 - 2018)
State Street's Professional Fees was $79 million in Q3 2018, up 11.3% from $71 million a year earlier but down 11.2% from the prior quarter.
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Analysis
State Street (STT) Professional Fees (2009 - 2018) Analysis & Trends
On a trailing twelve-month basis, State Street's Professional Fees was $325 million through Sep 30, 2018, down 12.4% year-over-year; for FY2017, it was $340 million, down 10.3% from FY2016.
- Professional Fees shows a five-year compound annual growth rate of -2.3% (FY2012 to FY2017).
- In earlier years, Professional Fees was $379 million in FY2016 (-22.7%), $490 million in FY2015 (+11.4%), $440 million in FY2014 (+12.2%) and $392 million in FY2013 (+2.9%).
- Quarterly Professional Fees has moved between $71 million (Q3 2017) and $136 million (Q3 2015) over five years.
- Compared with a year earlier, Professional Fees was higher in three of the last eight quarters, with an average decline of 7.2%.
- The best year-over-year quarter for Professional Fees over five years was Q3 2015 (growth of 40.2%); the worst was Q2 2016 (a decline of 39.7%).
- Per Business Quant data, STT's Professional Fees in the three quarters before Q3 2018 was $89 million (Q2 2018), $79 million (Q1 2018) and $78 million (Q4 2017).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Professional Fees (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 113.65 Bn | 101.99 Bn | 359.20 Mn | - |
| 2 | Bank of New York Mellon | 103.23 Bn | 37.32 Bn | - | 474.00 Mn |
| 3 | Intercontinental Exchange | 99.60 Bn | 93.42 Bn | 1.22 Bn | - |
| 4 | Robinhood Markets | 70.15 Bn | 49.76 Bn | - | - |
| 5 | Nasdaq | 60.57 Bn | 58.01 Bn | 1.48 Bn | - |
| 6 | State Street | 47.32 Bn | 43.94 Bn | - | - |
| 7 | Cboe Global Markets | 39.19 Bn | 29.68 Bn | 712.20 Mn | - |
| 8 | Interactive Brokers | 37.06 Bn | 20.72 Bn | - | - |
| 9 | Northern Trust | 32.28 Bn | 32.28 Bn | - | 252.10 Mn |
| 10 | Tradeweb Markets | 30.81 Bn | 23.33 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | -246.70 Mn |
| Sep 30, 2018 | 79.00 Mn |
| Jun 30, 2018 | 89.00 Mn |
| Mar 31, 2018 | 79.00 Mn |
| Dec 31, 2017 | 78.00 Mn |
| Sep 30, 2017 | 71.00 Mn |
| Jun 30, 2017 | 97.00 Mn |
| Mar 31, 2017 | 94.00 Mn |
| Dec 31, 2016 | 109.00 Mn |
| Sep 30, 2016 | 95.00 Mn |
| Jun 30, 2016 | 82.00 Mn |
| Mar 31, 2016 | 93.00 Mn |
| Dec 31, 2015 | 122.00 Mn |
| Sep 30, 2015 | 136.00 Mn |
| Jun 30, 2015 | 136.00 Mn |
| Mar 31, 2015 | 96.00 Mn |
| Dec 31, 2014 | 122.00 Mn |
| Sep 30, 2014 | 97.00 Mn |
| Jun 30, 2014 | 116.00 Mn |
| Mar 31, 2014 | 105.00 Mn |
API Access
State Street Professional Fees 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=professional-fees&ticker=STT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "professional-fees", "ticker": "STT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=professional-fees&ticker=STT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();