State Street (STT) Non Operating Interest Expenses (2009 - 2024)
State Street's Non Operating Interest Expenses was $2.17 billion in Q1 2024, up 72.3% from $1.26 billion a year earlier and up 13.5% from the prior quarter.
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Analysis
State Street (STT) Non Operating Interest Expenses (2009 - 2024) Analysis & Trends
On a trailing twelve-month basis, State Street's Non Operating Interest Expenses was $7.33 billion through Mar 31, 2024, up 162.5% year-over-year; for FY2023, it was $6.42 billion, up 315.9% from FY2022.
- Non Operating Interest Expenses shows a five-year compound annual growth rate of 45.3% (FY2018 to FY2023).
- In earlier years, Non Operating Interest Expenses was $1.54 billion in FY2022, $3 million in FY2021 (-99.2%), $375 million in FY2020 (-72.7%) and $1.38 billion in FY2019 (+38.7%).
- The Q1 2024 figure marks the highest quarterly Non Operating Interest Expenses in data going back to Q1 2009.
- Compared with a year earlier, Non Operating Interest Expenses has increased for three straight quarters.
- The best year-over-year quarter for Non Operating Interest Expenses over five years was Q3 2023 (growth of 286.4%); the worst was Q1 2021 (a decline of 98.0%).
- Per Business Quant data, STT's Non Operating Interest Expenses in the three quarters before Q1 2024 was $1.92 billion (Q4 2023), $1.7 billion (Q3 2023) and $1.54 billion (Q2 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 101.14 Bn | 82.23 Bn | - | - |
| 2 | Bank of New York Mellon | 98.14 Bn | 37.51 Bn | - | - |
| 3 | Cme | 94.12 Bn | 94.12 Bn | - | 43.60 Mn |
| 4 | Intercontinental Exchange | 85.35 Bn | 79.16 Bn | - | 205.00 Mn |
| 5 | Nasdaq | 51.71 Bn | 49.14 Bn | 1.50 Bn | 86.00 Mn |
| 6 | State Street | 47.94 Bn | 47.94 Bn | - | - |
| 7 | Interactive Brokers | 38.49 Bn | 31.95 Bn | - | - |
| 8 | Northern Trust | 30.99 Bn | 30.99 Bn | - | - |
| 9 | Cboe Global Markets | 28.76 Bn | 20.41 Bn | 731.60 Mn | 13.20 Mn |
| 10 | LPL Financial Holdings | 24.08 Bn | 19.40 Bn | - | 101.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2024 | 2.17 Bn |
| Dec 31, 2023 | 1.92 Bn |
| Sep 30, 2023 | 1.70 Bn |
| Jun 30, 2023 | 1.54 Bn |
| Mar 31, 2023 | 1.26 Bn |
| Dec 31, 2022 | 971.00 Mn |
| Sep 30, 2022 | 441.00 Mn |
| Jun 30, 2022 | 120.00 Mn |
| Mar 31, 2022 | 12.00 Mn |
| Dec 31, 2021 | -1.00 Mn |
| Mar 31, 2021 | 4.00 Mn |
| Dec 31, 2020 | 14.00 Mn |
| Sep 30, 2020 | 42.00 Mn |
| Jun 30, 2020 | 115.00 Mn |
| Mar 31, 2020 | 204.00 Mn |
| Dec 31, 2019 | 270.00 Mn |
| Sep 30, 2019 | 357.00 Mn |
| Jun 30, 2019 | 394.00 Mn |
| Mar 31, 2019 | 354.00 Mn |
| Dec 31, 2018 | 285.00 Mn |
API Access
State Street Non Operating Interest 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=non-operating-interest-expenses&ticker=STT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=STT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();