State Street (STT) Total Liabilities (2012 - 2018)
State Street's Total Liabilities came in at $209.45 billion for Q3 2018, down 1.9% from $213.49 billion a year earlier and down 7.2% from the prior quarter.
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Analysis
State Street (STT) Total Liabilities (2012 - 2018) Analysis & Trends
At the end of FY2017, State Street's Total Liabilities was $216.11 billion, down 2.4% from FY2016.
- Total Liabilities has declined in each of the last three years, though with a five-year compound annual growth rate of 1.4% (FY2012 to FY2017).
- Going back by year, Total Liabilities was $221.48 billion in FY2016 (-1.1%), $224.05 billion in FY2015 (-11.4%), $252.79 billion in FY2014 (+13.4%) and $222.91 billion in FY2013 (+10.5%).
- The Q3 2018 figure represents the lowest quarterly Total Liabilities since Q3 2013.
- Year-over-year, Total Liabilities increased in two of the last eight quarters, with an average decline of 1.8%.
- The fastest year-over-year change in Total Liabilities over five years came in Q3 2014 (growth of 28.9%), and the weakest in Q2 2016 (a decline of 14.6%).
- Business Quant data shows STT's Total Liabilities at $225.74 billion (Q2 2018), $227.89 billion (Q1 2018) and $216.11 billion (Q4 2017) in the three quarters before Q3 2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 101.35 Bn | 82.45 Bn | - | 47.01 Bn |
| 2 | Bank of New York Mellon | 98.65 Bn | 38.02 Bn | - | 479.76 Bn |
| 3 | Cme | 94.54 Bn | 94.54 Bn | - | 168.16 Bn |
| 4 | Intercontinental Exchange | 84.23 Bn | 78.04 Bn | - | 144.63 Bn |
| 5 | Nasdaq | 50.77 Bn | 48.20 Bn | 1.50 Bn | 15.35 Bn |
| 6 | State Street | 48.31 Bn | 48.31 Bn | - | - |
| 7 | Interactive Brokers | 39.79 Bn | 33.24 Bn | - | 225.06 Bn |
| 8 | Northern Trust | 31.37 Bn | 31.37 Bn | - | 165.90 Bn |
| 9 | Cboe Global Markets | 28.34 Bn | 20.00 Bn | 731.60 Mn | 4.98 Bn |
| 10 | LPL Financial Holdings | 24.92 Bn | 20.24 Bn | - | 14.03 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2018 | 209.45 Bn |
| Jun 30, 2018 | 225.74 Bn |
| Mar 31, 2018 | 227.89 Bn |
| Dec 31, 2017 | 216.11 Bn |
| Sep 30, 2017 | 213.49 Bn |
| Jun 30, 2017 | 216.21 Bn |
| Mar 31, 2017 | 215.51 Bn |
| Dec 31, 2016 | 221.48 Bn |
| Sep 30, 2016 | 233.99 Bn |
| Jun 30, 2016 | 233.31 Bn |
| Mar 31, 2016 | 222.19 Bn |
| Dec 31, 2015 | 224.05 Bn |
| Sep 30, 2015 | 225.77 Bn |
| Jun 30, 2015 | 273.22 Bn |
| Mar 31, 2015 | 258.81 Bn |
| Dec 31, 2014 | 252.79 Bn |
| Sep 30, 2014 | 253.65 Bn |
| Jun 30, 2014 | 260.62 Bn |
| Mar 31, 2014 | 235.39 Bn |
| Dec 31, 2013 | 222.91 Bn |
API Access
State Street Total Liabilities 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=total-liabilities&ticker=STT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=STT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();