State Street (STT) Change in Net Loans (2009 - 2026)
State Street (STT) recorded Change in Net Loans of -$766 million in Q3 2018, compared with -$728 million a year earlier.
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Analysis
State Street (STT) Change in Net Loans (2009 - 2026) Analysis & Trends
On a TTM basis, State Street's Change in Net Loans came in at -$295 million as of Sep 30, 2018; for FY2017, it came in at $3.51 billion, up 280.0% from FY2016.
- Annual Change in Net Loans has a five-year compound annual growth rate of 8.8% (FY2012 to FY2017).
- Across earlier years, Change in Net Loans came in at $924 million in FY2016 (+64.7%), $561 million in FY2015 (-88.3%), $4.79 billion in FY2014 (+294.2%) and $1.21 billion in FY2013 (-47.3%).
- Quarterly Change in Net Loans has ranged from -$5.46 billion in Q2 2018 to $6.28 billion in Q1 2018 over the past five years.
- Peak year-over-year performance for Change in Net Loans in the last five years was growth of 632.5% in Q1 2017, against a decline of 95.8% in Q1 2015 at the low end.
- Per Business Quant, the preceding three quarters came in at -$5.46 billion (Q2 2018), $6.28 billion (Q1 2018) and -$348 million (Q4 2017).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in Net Loans (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 113.65 Bn | 101.99 Bn | 359.20 Mn | - |
| 2 | Bank of New York Mellon | 103.23 Bn | 37.32 Bn | - | -445.00 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 | - | 2.31 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 | - | -2.10 Bn |
| 10 | Tradeweb Markets | 30.81 Bn | 23.33 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.31 Bn |
| Jun 30, 2026 | -3.41 Bn |
| Mar 31, 2026 | -2.86 Bn |
| Dec 31, 2025 | -1.00 Bn |
| Sep 30, 2025 | 566.00 Mn |
| Jun 30, 2025 | -2.00 Bn |
| Mar 31, 2025 | -1.28 Bn |
| Dec 31, 2024 | -1.86 Bn |
| Sep 30, 2024 | -2.27 Bn |
| Jun 30, 2024 | -984.00 Mn |
| Mar 31, 2024 | -2.25 Bn |
| Dec 31, 2023 | -939.00 Mn |
| Sep 30, 2023 | -1.60 Bn |
| Dec 31, 2019 | 570.00 Mn |
| Dec 31, 2018 | -2.79 Bn |
| Sep 30, 2018 | -766.00 Mn |
| Jun 30, 2018 | -5.46 Bn |
| Mar 31, 2018 | 6.28 Bn |
| Dec 31, 2017 | -348.00 Mn |
| Sep 30, 2017 | -728.00 Mn |
API Access
State Street Change in Net Loans 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=change-in-net-loans&ticker=STT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-net-loans", "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=change-in-net-loans&ticker=STT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();