State Street (STT) Rent Expense (2009 - 2026)
State Street's Rent Expense came in at $96 million for Q2 2026, down 8.6% from $105 million a year earlier and down 5.0% from the prior quarter.
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Analysis
State Street (STT) Rent Expense (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, State Street reported Rent Expense of $476 million, up 9.2% year-over-year; for FY2025, it was $487 million, up 11.4% from FY2024.
- Rent Expense has increased in each of the last three years, though with a five-year compound annual growth rate of -0.1% (FY2020 to FY2025).
- Going back by year, Rent Expense was $437 million in FY2024 (+2.6%), $426 million in FY2023 (+8.1%), $394 million in FY2022 (-11.3%) and $444 million in FY2021 (-9.2%).
- The Q2 2026 figure represents the lowest quarterly Rent Expense since Q1 2023.
- Year-over-year, Rent Expense increased in three of the last eight quarters, with growth averaging 3.8%.
- The fastest year-over-year change in Rent Expense over five years came in Q4 2025 (growth of 40.7%), and the weakest in Q4 2022 (a decline of 20.3%).
- Business Quant data shows STT's Rent Expense at $101 million (Q1 2026), $173 million (Q4 2025) and $106 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Rental Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 104.70 Bn | 85.79 Bn | - | - |
| 2 | Bank of New York Mellon | 100.72 Bn | 40.09 Bn | - | 143.00 Mn |
| 3 | Cme | 94.58 Bn | 94.58 Bn | - | - |
| 4 | Intercontinental Exchange | 85.83 Bn | 79.63 Bn | - | 23.00 Mn |
| 5 | Nasdaq | 52.05 Bn | 49.49 Bn | 1.50 Bn | 35.00 Mn |
| 6 | State Street | 49.39 Bn | 49.39 Bn | - | 96.00 Mn |
| 7 | Interactive Brokers | 39.24 Bn | 32.69 Bn | - | - |
| 8 | Northern Trust | 31.94 Bn | 31.94 Bn | - | 53.50 Mn |
| 9 | Cboe Global Markets | 26.47 Bn | 18.13 Bn | 731.60 Mn | 6.10 Mn |
| 10 | LPL Financial Holdings | 24.62 Bn | 19.94 Bn | - | 125.54 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 96.00 Mn |
| Mar 31, 2026 | 101.00 Mn |
| Dec 31, 2025 | 173.00 Mn |
| Sep 30, 2025 | 106.00 Mn |
| Jun 30, 2025 | 105.00 Mn |
| Mar 31, 2025 | 103.00 Mn |
| Dec 31, 2024 | 123.00 Mn |
| Sep 30, 2024 | 105.00 Mn |
| Jun 30, 2024 | 106.00 Mn |
| Mar 31, 2024 | 103.00 Mn |
| Dec 31, 2023 | 128.00 Mn |
| Sep 30, 2023 | 101.00 Mn |
| Jun 30, 2023 | 103.00 Mn |
| Mar 31, 2023 | 94.00 Mn |
| Dec 31, 2022 | 106.00 Mn |
| Sep 30, 2022 | 97.00 Mn |
| Jun 30, 2022 | 96.00 Mn |
| Mar 31, 2022 | 95.00 Mn |
| Dec 31, 2021 | 133.00 Mn |
| Sep 30, 2021 | 102.00 Mn |
API Access
State Street Rent Expense 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=rent-expense&ticker=STT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "rent-expense", "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=rent-expense&ticker=STT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();