Bank of New York Mellon (BNY) Interest Expenses (2009 - 2026)
Bank of New York Mellon (BNY) recorded Interest Expenses of $4.49 billion in Q2 2026, down 16.8% from $5.4 billion a year earlier but up 0.9% from the prior quarter.
Bank of New York Mellon (BNY) Interest Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Bank of New York Mellon's Interest Expenses came in at $19.27 billion as of Jun 30, 2026, down 9.3% year-over-year; for FY2025, it was $20.68 billion, down 2.9% from FY2024.
- Annual Interest Expenses has a five-year compound annual growth rate of 78.8% (FY2020 to FY2025).
- Across earlier years, Interest Expenses came in at $21.3 billion in FY2024 (+30.6%), $16.3 billion in FY2023 (+351.1%), $3.61 billion in FY2022 and $227 million in FY2021 (-79.9%).
- Quarterly Interest Expenses has ranged from $52 million in Q3 2021 to $5.6 billion in Q3 2024 over the past five years.
- On a year-over-year basis, Interest Expenses has declined for four consecutive quarters, with an average decline of 0.7% over the last eight quarters.
- Peak year-over-year performance for Interest Expenses in the last five years was growth of 737.5% in Q2 2022, against a decline of 55.6% in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $4.45 billion (Q1 2026), $4.96 billion (Q4 2025) and $5.36 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 101.35 Bn | 82.45 Bn | - | 159.00 Mn |
| 2 | Bank of New York Mellon | 98.65 Bn | 38.02 Bn | - | 4.49 Bn |
| 3 | Cme | 94.54 Bn | 94.54 Bn | - | 43.60 Mn |
| 4 | Intercontinental Exchange | 84.23 Bn | 78.04 Bn | - | 205.00 Mn |
| 5 | Nasdaq | 50.77 Bn | 48.20 Bn | 1.50 Bn | 86.00 Mn |
| 6 | State Street | 48.31 Bn | 48.31 Bn | - | 1.98 Bn |
| 7 | Interactive Brokers | 39.79 Bn | 33.24 Bn | - | 1.18 Bn |
| 8 | Northern Trust | 31.37 Bn | 31.37 Bn | - | 1.51 Bn |
| 9 | Cboe Global Markets | 28.34 Bn | 20.00 Bn | 731.60 Mn | 13.20 Mn |
| 10 | LPL Financial Holdings | 24.92 Bn | 20.24 Bn | - | 101.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.49 Bn |
| Mar 31, 2026 | 4.45 Bn |
| Dec 31, 2025 | 4.96 Bn |
| Sep 30, 2025 | 5.36 Bn |
| Jun 30, 2025 | 5.40 Bn |
| Mar 31, 2025 | 4.96 Bn |
| Dec 31, 2024 | 5.27 Bn |
| Sep 30, 2024 | 5.60 Bn |
| Jun 30, 2024 | 5.36 Bn |
| Mar 31, 2024 | 5.06 Bn |
| Dec 31, 2023 | 4.86 Bn |
| Sep 30, 2023 | 4.50 Bn |
| Jun 30, 2023 | 4.12 Bn |
| Mar 31, 2023 | 2.81 Bn |
| Dec 31, 2022 | 2.14 Bn |
| Sep 30, 2022 | 1.06 Bn |
| Jun 30, 2022 | 335.00 Mn |
| Mar 31, 2022 | 80.00 Mn |
| Dec 31, 2021 | 52.00 Mn |
| Sep 30, 2021 | 52.00 Mn |
Bank of New York Mellon 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=BNY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=BNY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();