State Street (STT) Interest Expenses (2009 - 2026)
State Street (STT) recorded Interest Expenses of $1.98 billion in Q2 2026, down 14.7% from $2.33 billion a year earlier but up 9.2% from the prior quarter.
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Analysis
State Street (STT) Interest Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, State Street's Interest Expenses came in at $7.95 billion as of Jun 30, 2026, down 13.1% year-over-year; for FY2025, it was $8.68 billion, down 4.1% from FY2024.
- Annual Interest Expenses has a five-year compound annual growth rate of 87.5% (FY2020 to FY2025).
- Across earlier years, Interest Expenses came in at $9.05 billion in FY2024 (+41.0%), $6.42 billion in FY2023 (+315.9%), $1.54 billion in FY2022 and $3 million in FY2021 (-99.2%).
- Quarterly Interest Expenses has ranged from -$1 million in Q4 2021 to $2.36 billion in Q3 2024 over the past five years.
- On a year-over-year basis, Interest Expenses has declined for four consecutive quarters, with growth averaging 1.0% over the last eight quarters.
- Peak year-over-year performance for Interest Expenses in the last five years was growth of 286.4% in Q3 2023, against a decline of 17.8% in Q1 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.82 billion (Q1 2026), $1.95 billion (Q4 2025) and $2.2 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 101.14 Bn | 82.23 Bn | - | 159.00 Mn |
| 2 | Bank of New York Mellon | 98.14 Bn | 37.51 Bn | - | 4.49 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 | - | 1.98 Bn |
| 7 | Interactive Brokers | 38.49 Bn | 31.95 Bn | - | 1.18 Bn |
| 8 | Northern Trust | 30.99 Bn | 30.99 Bn | - | 1.51 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 |
|---|---|
| Jun 30, 2026 | 1.98 Bn |
| Mar 31, 2026 | 1.82 Bn |
| Dec 31, 2025 | 1.95 Bn |
| Sep 30, 2025 | 2.20 Bn |
| Jun 30, 2025 | 2.33 Bn |
| Mar 31, 2025 | 2.21 Bn |
| Dec 31, 2024 | 2.26 Bn |
| Sep 30, 2024 | 2.36 Bn |
| Jun 30, 2024 | 2.26 Bn |
| 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 |
API Access
State Street 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=interest-expenses&ticker=STT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=interest-expenses&ticker=STT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();