State Street (STT) Retained Earnings (2013 - 2018)
State Street (STT) posted Retained Earnings of $20.39 billion for Q3 2018, up 9.2% from $18.68 billion a year earlier and up 2.7% from the prior quarter.
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Analysis
State Street (STT) Retained Earnings (2013 - 2018) Analysis & Trends
At the end of FY2017, State Street's Retained Earnings came in at $18.86 billion, up 8.0% from FY2016.
- Annual Retained Earnings has increased for four consecutive years, with a four-year compound annual growth rate of 8.9% (FY2013 to FY2017).
- In prior years, State Street's Retained Earnings was $17.46 billion in FY2016 (+8.8%), $16.05 billion in FY2015 (+7.8%), $14.88 billion in FY2014 (+11.1%) and $13.4 billion in FY2013.
- The Q3 2018 figure stands as the highest quarterly Retained Earnings in data going back to Q4 2013.
- On a year-over-year basis, Retained Earnings has increased in each of the last 14 quarters, with growth averaging 9.0% over the last eight quarters.
- The year-over-year growth in Retained Earnings has ranged between 7.3% (Q1 2016) and 11.1% (Q4 2014) over the last five years.
- According to Business Quant data, Retained Earnings for the three prior quarters was $19.86 billion (Q2 2018), $19.31 billion (Q1 2018) and $18.86 billion (Q4 2017).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 101.35 Bn | 82.45 Bn | - | -1.24 Bn |
| 2 | Bank of New York Mellon | 98.65 Bn | 38.02 Bn | - | 48.91 Bn |
| 3 | Cme | 94.54 Bn | 94.54 Bn | - | 5.46 Bn |
| 4 | Intercontinental Exchange | 84.23 Bn | 78.04 Bn | - | 22.06 Bn |
| 5 | Nasdaq | 50.77 Bn | 48.20 Bn | 1.50 Bn | 10.29 Bn |
| 6 | State Street | 48.31 Bn | 48.31 Bn | - | - |
| 7 | Interactive Brokers | 39.79 Bn | 33.24 Bn | - | 3.87 Bn |
| 8 | Northern Trust | 31.37 Bn | 31.37 Bn | - | 17.71 Bn |
| 9 | Cboe Global Markets | 28.34 Bn | 20.00 Bn | 731.60 Mn | 4.13 Bn |
| 10 | LPL Financial Holdings | 24.92 Bn | 20.24 Bn | - | 6.52 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2018 | 20.39 Bn |
| Jun 30, 2018 | 19.86 Bn |
| Mar 31, 2018 | 19.31 Bn |
| Dec 31, 2017 | 18.86 Bn |
| Sep 30, 2017 | 18.68 Bn |
| Jun 30, 2017 | 18.20 Bn |
| Mar 31, 2017 | 17.76 Bn |
| Dec 31, 2016 | 17.46 Bn |
| Sep 30, 2016 | 17.05 Bn |
| Jun 30, 2016 | 16.69 Bn |
| Mar 31, 2016 | 16.23 Bn |
| Dec 31, 2015 | 16.05 Bn |
| Sep 30, 2015 | 15.80 Bn |
| Jun 30, 2015 | 15.39 Bn |
| Mar 31, 2015 | 15.14 Bn |
| Dec 31, 2014 | 14.88 Bn |
| Sep 30, 2014 | 14.53 Bn |
| Jun 30, 2014 | 14.11 Bn |
| Dec 31, 2013 | 13.40 Bn |
API Access
State Street Retained Earnings 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=retained-earnings&ticker=STT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=STT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();