Bank of New York Mellon (BNY) Long-Term Debt Repayments (2012 - 2026)
Bank of New York Mellon (BNY) reported Long-Term Debt Repayments of $3.5 billion for Q2 2026, up 58.6% from $2.21 billion a year earlier and up 400.4% from the prior quarter.
Bank of New York Mellon (BNY) Long-Term Debt Repayments (2012 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Bank of New York Mellon's Long-Term Debt Repayments came in at $5.85 billion, down 18.8% year-over-year; for FY2025, it came in at $5.51 billion, down 7.6% from FY2024.
- Long-Term Debt Repayments has a five-year compound annual growth rate of 1.2% (FY2020 to FY2025).
- By year, Long-Term Debt Repayments came in at $5.96 billion in FY2024 (-1.6%), $6.06 billion in FY2023 (+51.5%), $4 billion in FY2022 (-14.0%) and $4.65 billion in FY2021 (-10.6%).
- The Q2 2026 figure ranks as the highest quarterly Long-Term Debt Repayments in data going back to Q1 2012.
- Year over year, Long-Term Debt Repayments gained in five of the last eight quarters, with growth averaging 36.8%.
- The high point for year-over-year Long-Term Debt Repayments in five years was Q4 2024 (growth of 313.2%); the low point was Q4 2025 (a decline of 83.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $700 million (Q1 2026), $400 million (Q4 2025) and $1.25 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 109.27 Bn | 97.61 Bn | - | - |
| 2 | Bank of New York Mellon | 98.55 Bn | 37.92 Bn | - | 3.50 Bn |
| 3 | Intercontinental Exchange | 91.26 Bn | 85.07 Bn | - | - |
| 4 | Robinhood Markets | 85.47 Bn | 66.56 Bn | - | 10.00 Mn |
| 5 | Nasdaq | 57.27 Bn | 54.71 Bn | 1.48 Bn | - |
| 6 | State Street | 46.11 Bn | 46.11 Bn | - | 913.00 Mn |
| 7 | Interactive Brokers | 36.17 Bn | 29.63 Bn | - | - |
| 8 | Cboe Global Markets | 35.59 Bn | 27.25 Bn | 731.60 Mn | - |
| 9 | Northern Trust | 30.73 Bn | 30.73 Bn | - | 800.00 Mn |
| 10 | Tradeweb Markets | 28.70 Bn | 21.41 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.50 Bn |
| Mar 31, 2026 | 700.00 Mn |
| Dec 31, 2025 | 400.00 Mn |
| Sep 30, 2025 | 1.25 Bn |
| Jun 30, 2025 | 2.21 Bn |
| Mar 31, 2025 | 1.65 Bn |
| Dec 31, 2024 | 2.45 Bn |
| Sep 30, 2024 | 900.00 Mn |
| Jun 30, 2024 | 1.46 Bn |
| Mar 31, 2024 | 1.15 Bn |
| Dec 31, 2023 | 593.00 Mn |
| Sep 30, 2023 | 2.96 Bn |
| Jun 30, 2023 | 753.00 Mn |
| Mar 31, 2023 | 1.75 Bn |
| Dec 31, 2022 | 750.00 Mn |
| Sep 30, 2022 | 1.00 Bn |
| Jun 30, 2022 | 1.00 Bn |
| Mar 31, 2022 | 1.25 Bn |
| Dec 31, 2021 | 400.00 Mn |
| Sep 30, 2021 | 1.50 Bn |
Bank of New York Mellon Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=BNY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=BNY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();