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.
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 Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 109.27 Bn | 97.61 Bn | - | 43.50 Mn |
| 2 | Bank of New York Mellon | 98.55 Bn | 37.92 Bn | - | 4.49 Bn |
| 3 | Intercontinental Exchange | 91.26 Bn | 85.07 Bn | - | 205.00 Mn |
| 4 | Robinhood Markets | 85.47 Bn | 66.56 Bn | - | 159.00 Mn |
| 5 | Nasdaq | 57.27 Bn | 54.71 Bn | 1.48 Bn | 86.00 Mn |
| 6 | State Street | 46.11 Bn | 46.11 Bn | - | 1.98 Bn |
| 7 | Interactive Brokers | 36.17 Bn | 29.63 Bn | - | 1.18 Bn |
| 8 | Cboe Global Markets | 35.59 Bn | 27.25 Bn | 731.60 Mn | 13.20 Mn |
| 9 | Northern Trust | 30.73 Bn | 30.73 Bn | - | 1.51 Bn |
| 10 | Tradeweb Markets | 28.70 Bn | 21.41 Bn | - | 505,000.00 |
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 |
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_KEY
import 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();