Bank of New York Mellon (BNY) Enterprise Value (2009 - 2026)
Bank of New York Mellon (BNY) posted Enterprise Value of $81.88 billion for Q2 2026, up 58.2% from $51.76 billion a year earlier and up 25.9% from the prior quarter.
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Analysis
Bank of New York Mellon (BNY) Enterprise Value (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Enterprise Value at Bank of New York Mellon was $37.49 billion, up 181.1% year-over-year; for FY2025, it came in at $66.03 billion, up 59.0% from FY2024.
- Annual Enterprise Value has increased for three consecutive years, with a five-year compound annual growth rate of 24.0% (FY2020 to FY2025).
- In prior years, Bank of New York Mellon's Enterprise Value was $41.52 billion in FY2024 (+40.5%), $29.55 billion in FY2023 (+9.4%), $27 billion in FY2022 (-11.0%) and $30.34 billion in FY2021 (+34.6%).
- The Q2 2026 figure stands as the highest quarterly Enterprise Value in data going back to Q1 2009.
- On a year-over-year basis, Enterprise Value has increased in each of the last 14 quarters, with growth averaging 53.0% over the last eight quarters.
- The strongest year-over-year quarter for Enterprise Value in the past five years was Q3 2024, with growth of 79.6%; the weakest was Q3 2022, with a decline of 26.1%.
- According to Business Quant data, Enterprise Value for the three prior quarters was $65.02 billion (Q1 2026), $66.03 billion (Q4 2025) and $62.73 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Robinhood Markets | 101.35 Bn | 82.45 Bn | - |
| 2 | Bank of New York Mellon | 98.65 Bn | 38.02 Bn | - |
| 3 | Cme | 94.54 Bn | 94.54 Bn | - |
| 4 | Intercontinental Exchange | 84.23 Bn | 78.04 Bn | - |
| 5 | Nasdaq | 50.77 Bn | 48.20 Bn | 1.50 Bn |
| 6 | State Street | 48.31 Bn | 48.31 Bn | - |
| 7 | Interactive Brokers | 39.79 Bn | 33.24 Bn | - |
| 8 | Northern Trust | 31.37 Bn | 31.37 Bn | - |
| 9 | Cboe Global Markets | 28.34 Bn | 20.00 Bn | 731.60 Mn |
| 10 | LPL Financial Holdings | 24.92 Bn | 20.24 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 81.88 Bn |
| Mar 31, 2026 | 65.02 Bn |
| Dec 31, 2025 | 66.03 Bn |
| Sep 30, 2025 | 62.73 Bn |
| Jun 30, 2025 | 51.76 Bn |
| Mar 31, 2025 | 48.12 Bn |
| Dec 31, 2024 | 41.52 Bn |
| Sep 30, 2024 | 39.90 Bn |
| Jun 30, 2024 | 34.68 Bn |
| Mar 31, 2024 | 33.09 Bn |
| Dec 31, 2023 | 29.55 Bn |
| Sep 30, 2023 | 22.21 Bn |
| Jun 30, 2023 | 24.21 Bn |
| Mar 31, 2023 | 26.93 Bn |
| Dec 31, 2022 | 27.00 Bn |
| Sep 30, 2022 | 18.64 Bn |
| Jun 30, 2022 | 23.10 Bn |
| Mar 31, 2022 | 25.59 Bn |
| Dec 31, 2021 | 30.34 Bn |
| Sep 30, 2021 | 25.23 Bn |
API Access
Bank of New York Mellon Enterprise Value 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=enterprise-value&ticker=BNY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=BNY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();