Bank of New York Mellon (BNY) Price to Book (2009 - 2026)
Bank of New York Mellon's Price to Book was 2.17 in Q2 2026, up 49.9% from 1.45 a year earlier and up 20.4% from the prior quarter.
Analysis
Bank of New York Mellon (BNY) Price to Book (2009 - 2026) Analysis & Trends
For FY2025, Price to Book at Bank of New York Mellon came in at 1.79, up 35.0% from FY2024.
- Price to Book has now increased for three consecutive years.
- In earlier years, Price to Book was 1.32 in FY2024 (+36.6%), 0.97 in FY2023 (+6.9%), 0.91 in FY2022 (-16.4%) and 1.08 in FY2021 (+32.3%).
- The Q2 2026 figure marks the highest quarterly Price to Book in data going back to Q4 2009.
- Compared with a year earlier, Price to Book has increased for 13 straight quarters, with growth averaging 38.7% over the last eight quarters.
- The best year-over-year quarter for Price to Book over five years was Q3 2024 (growth of 54.1%); the worst was Q3 2022 (a decline of 19.7%).
- Per Business Quant data, BNY's Price to Book in the three quarters before Q2 2026 was 1.80 (Q1 2026), 1.79 (Q4 2025) and 1.72 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Robinhood Markets | 101.14 Bn | 82.23 Bn | - |
| 2 | Bank of New York Mellon | 98.14 Bn | 37.51 Bn | - |
| 3 | Cme | 94.12 Bn | 94.12 Bn | - |
| 4 | Intercontinental Exchange | 85.35 Bn | 79.16 Bn | - |
| 5 | Nasdaq | 51.71 Bn | 49.14 Bn | 1.50 Bn |
| 6 | State Street | 47.94 Bn | 47.94 Bn | - |
| 7 | Interactive Brokers | 38.49 Bn | 31.95 Bn | - |
| 8 | Northern Trust | 30.99 Bn | 30.99 Bn | - |
| 9 | Cboe Global Markets | 28.76 Bn | 20.41 Bn | 731.60 Mn |
| 10 | LPL Financial Holdings | 24.08 Bn | 19.40 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.17 |
| Mar 31, 2026 | 1.80 |
| Dec 31, 2025 | 1.79 |
| Sep 30, 2025 | 1.72 |
| Jun 30, 2025 | 1.45 |
| Mar 31, 2025 | 1.38 |
| Dec 31, 2024 | 1.32 |
| Sep 30, 2024 | 1.24 |
| Jun 30, 2024 | 1.08 |
| Mar 31, 2024 | 1.06 |
| Dec 31, 2023 | 0.97 |
| Sep 30, 2023 | 0.80 |
| Jun 30, 2023 | 0.85 |
| Mar 31, 2023 | 0.88 |
| Dec 31, 2022 | 0.91 |
| Sep 30, 2022 | 0.78 |
| Jun 30, 2022 | 0.82 |
| Mar 31, 2022 | 0.95 |
| Dec 31, 2021 | 1.08 |
| Sep 30, 2021 | 0.98 |
API Access
Bank of New York Mellon Price to Book 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=price-to-book&ticker=BNY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=BNY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();