Bank of New York Mellon (BNY) EBITDA (2012 - 2026)
Bank of New York Mellon's EBITDA came in at $7.16 billion for Q2 2026, down 6.6% from $7.66 billion a year earlier but up 4.0% from the prior quarter.
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Analysis
Bank of New York Mellon (BNY) EBITDA (2012 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Bank of New York Mellon reported EBITDA of $29.04 billion, down 1.1% year-over-year; for FY2025, it was $29.59 billion, up 2.2% from FY2024.
- EBITDA has increased in each of the last four years, with a five-year compound annual growth rate of 32.6% (FY2020 to FY2025).
- Going back by year, EBITDA was $28.95 billion in FY2024 (+28.8%), $22.47 billion in FY2023 (+153.3%), $8.87 billion in FY2022 (+31.6%) and $6.74 billion in FY2021 (-6.7%).
- The five-year range for quarterly EBITDA is $1.44 billion (Q1 2022) to $7.66 billion (Q2 2025).
- Year-over-year, EBITDA increased in six of the last eight quarters, with growth averaging 5.8%.
- The fastest year-over-year change in EBITDA over five years came in Q2 2023 (growth of 221.9%), and the weakest in Q1 2022 (a decline of 15.7%).
- Business Quant data shows BNY's EBITDA at $6.89 billion (Q1 2026), $7.36 billion (Q4 2025) and $7.64 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 104.70 Bn | 85.79 Bn | - | 891.00 Mn |
| 2 | Bank of New York Mellon | 100.72 Bn | 40.09 Bn | - | 7.16 Bn |
| 3 | Cme | 94.58 Bn | 94.58 Bn | - | 1.19 Bn |
| 4 | Intercontinental Exchange | 85.83 Bn | 79.63 Bn | - | 1.78 Bn |
| 5 | Nasdaq | 52.05 Bn | 49.49 Bn | 1.50 Bn | 877.00 Mn |
| 6 | State Street | 49.39 Bn | 49.39 Bn | - | 3.57 Bn |
| 7 | Interactive Brokers | 39.24 Bn | 32.69 Bn | - | 2.65 Bn |
| 8 | Northern Trust | 31.94 Bn | 31.94 Bn | - | 2.78 Bn |
| 9 | Cboe Global Markets | 26.47 Bn | 18.13 Bn | 731.60 Mn | 504.10 Mn |
| 10 | LPL Financial Holdings | 24.62 Bn | 19.94 Bn | - | 797.71 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.16 Bn |
| Mar 31, 2026 | 6.89 Bn |
| Dec 31, 2025 | 7.36 Bn |
| Sep 30, 2025 | 7.64 Bn |
| Jun 30, 2025 | 7.66 Bn |
| Mar 31, 2025 | 6.93 Bn |
| Dec 31, 2024 | 7.17 Bn |
| Sep 30, 2024 | 7.58 Bn |
| Jun 30, 2024 | 7.35 Bn |
| Mar 31, 2024 | 6.85 Bn |
| Dec 31, 2023 | 5.80 Bn |
| Sep 30, 2023 | 6.26 Bn |
| Jun 30, 2023 | 5.96 Bn |
| Mar 31, 2023 | 4.45 Bn |
| Dec 31, 2022 | 3.35 Bn |
| Sep 30, 2022 | 2.08 Bn |
| Jun 30, 2022 | 1.85 Bn |
| Mar 31, 2022 | 1.44 Bn |
| Dec 31, 2021 | 1.58 Bn |
| Sep 30, 2021 | 1.68 Bn |
API Access
Bank of New York Mellon EBITDA 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=ebitda&ticker=BNY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=BNY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();