Bank of New York Mellon (BNY) Rent Expense (2009 - 2026)
Bank of New York Mellon's Rent Expense came in at $143 million for Q2 2026, up 8.3% from $132 million a year earlier and up 16.3% from the prior quarter.
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Analysis
Bank of New York Mellon (BNY) Rent Expense (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Bank of New York Mellon reported Rent Expense of $549 million, up 0.4% year-over-year; for FY2025, it came in at $551 million, up 2.6% from FY2024.
- Rent Expense carries a five-year compound annual growth rate of -1.1% (FY2020 to FY2025).
- Going back by year, Rent Expense was $537 million in FY2024 (-0.9%), $542 million in FY2023 (+5.4%), $514 million in FY2022 (+3.2%) and $498 million in FY2021 (-14.3%).
- The five-year range for quarterly Rent Expense is $119 million (Q1 2023) to $162 million (Q4 2023).
- Year-over-year, Rent Expense increased in three of the last eight quarters, with an average decline of 0.6%.
- The fastest year-over-year change in Rent Expense over five years came in Q4 2023 (growth of 13.3%), and the weakest in Q4 2021 (a decline of 23.1%).
- Business Quant data shows BNY's Rent Expense at $123 million (Q1 2026), $143 million (Q4 2025) and $140 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 | 143.00 Mn |
| Mar 31, 2026 | 123.00 Mn |
| Dec 31, 2025 | 143.00 Mn |
| Sep 30, 2025 | 140.00 Mn |
| Jun 30, 2025 | 132.00 Mn |
| Mar 31, 2025 | 136.00 Mn |
| Dec 31, 2024 | 149.00 Mn |
| Sep 30, 2024 | 130.00 Mn |
| Jun 30, 2024 | 134.00 Mn |
| Mar 31, 2024 | 124.00 Mn |
| Dec 31, 2023 | 162.00 Mn |
| Sep 30, 2023 | 140.00 Mn |
| Jun 30, 2023 | 121.00 Mn |
| Mar 31, 2023 | 119.00 Mn |
| Dec 31, 2022 | 143.00 Mn |
| Sep 30, 2022 | 124.00 Mn |
| Jun 30, 2022 | 125.00 Mn |
| Mar 31, 2022 | 122.00 Mn |
| Dec 31, 2021 | 133.00 Mn |
| Sep 30, 2021 | 120.00 Mn |
API Access
Bank of New York Mellon 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=BNY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "rent-expense", "ticker": "BNY", "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=BNY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();