Bank of New York Mellon (BNY) Total Liabilities (2009 - 2026)
Bank of New York Mellon's Total Liabilities was $479.76 billion in Q2 2026, up 8.7% from $441.35 billion a year earlier but down 7.1% from the prior quarter.
Bank of New York Mellon (BNY) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Bank of New York Mellon came in at $427.58 billion, up 14.2% from FY2024.
- Total Liabilities has now increased for three consecutive years, with a five-year compound annual growth rate of 0.2% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $374.39 billion in FY2024 (+1.4%), $369.06 billion in FY2023 (+1.1%), $364.94 billion in FY2022 (-9.1%) and $401.31 billion in FY2021 (-5.3%).
- Quarterly Total Liabilities has moved between $364.33 billion (Q3 2023) and $516.28 billion (Q1 2026) over five years.
- Compared with a year earlier, Total Liabilities has increased for eight straight quarters, with growth averaging 10.2% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was Q1 2026 (growth of 30.0%); the worst was Q1 2023 (a decline of 11.0%).
- Per Business Quant data, BNY's Total Liabilities in the three quarters before Q2 2026 was $516.28 billion (Q1 2026), $427.58 billion (Q4 2025) and $411.06 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 101.35 Bn | 82.45 Bn | - | 47.01 Bn |
| 2 | Bank of New York Mellon | 98.65 Bn | 38.02 Bn | - | 479.76 Bn |
| 3 | Cme | 94.54 Bn | 94.54 Bn | - | 168.16 Bn |
| 4 | Intercontinental Exchange | 84.23 Bn | 78.04 Bn | - | 144.63 Bn |
| 5 | Nasdaq | 50.77 Bn | 48.20 Bn | 1.50 Bn | 15.35 Bn |
| 6 | State Street | 48.31 Bn | 48.31 Bn | - | - |
| 7 | Interactive Brokers | 39.79 Bn | 33.24 Bn | - | 225.06 Bn |
| 8 | Northern Trust | 31.37 Bn | 31.37 Bn | - | 165.90 Bn |
| 9 | Cboe Global Markets | 28.34 Bn | 20.00 Bn | 731.60 Mn | 4.98 Bn |
| 10 | LPL Financial Holdings | 24.92 Bn | 20.24 Bn | - | 14.03 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 479.76 Bn |
| Mar 31, 2026 | 516.28 Bn |
| Dec 31, 2025 | 427.58 Bn |
| Sep 30, 2025 | 411.06 Bn |
| Jun 30, 2025 | 441.35 Bn |
| Mar 31, 2025 | 397.16 Bn |
| Dec 31, 2024 | 374.39 Bn |
| Sep 30, 2024 | 385.18 Bn |
| Jun 30, 2024 | 387.51 Bn |
| Mar 31, 2024 | 394.05 Bn |
| Dec 31, 2023 | 369.06 Bn |
| Sep 30, 2023 | 364.33 Bn |
| Jun 30, 2023 | 389.49 Bn |
| Mar 31, 2023 | 384.52 Bn |
| Dec 31, 2022 | 364.94 Bn |
| Sep 30, 2022 | 388.21 Bn |
| Jun 30, 2022 | 411.63 Bn |
| Mar 31, 2022 | 431.81 Bn |
| Dec 31, 2021 | 401.31 Bn |
| Sep 30, 2021 | 426.66 Bn |
Bank of New York Mellon Total Liabilities 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=total-liabilities&ticker=BNY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=BNY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();