Bank of New York Mellon (BNY) Return on Equity [ROE] (2013 - 2026)
Bank of New York Mellon's Return on Equity [ROE] came in at 14.03% for Q2 2026, up 2.65 percentage points from 11.38% a year earlier and up 0.71 percentage points from the prior quarter.
Bank of New York Mellon (BNY) Return on Equity [ROE] (2013 - 2026) Analysis & Trends
For FY2025, Bank of New York Mellon's Return on Equity [ROE] was 12.92%, up 1.91 percentage points from FY2024.
- Return on Equity [ROE] has increased in each of the last three years, with a five-year change of +4.64 percentage points (FY2020 to FY2025).
- Going back by year, Return on Equity [ROE] was 11.01% in FY2024 (+2.90 pp), 8.11% in FY2023 (+2.04 pp), 6.07% in FY2022 (-2.39 pp) and 8.47% in FY2021 (+0.18 pp).
- The Q2 2026 figure represents the highest quarterly Return on Equity [ROE] in data going back to Q1 2013.
- Year-over-year, Return on Equity [ROE] has increased for seven consecutive quarters, with an average year-over-year change of +2.27 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Equity [ROE] over five years came in Q3 2025 (a gain of 3.26 percentage points), and the weakest in Q4 2022 (a drop of 2.30 percentage points).
- Business Quant data shows BNY's Return on Equity [ROE] at 13.32% (Q1 2026), 12.55% (Q4 2025) and 11.89% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROE (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 101.14 Bn | 82.23 Bn | - | 21.63% |
| 2 | Bank of New York Mellon | 98.14 Bn | 37.51 Bn | - | 14.03% |
| 3 | Cme | 94.12 Bn | 94.12 Bn | - | 16.14% |
| 4 | Intercontinental Exchange | 85.35 Bn | 79.16 Bn | - | 13.86% |
| 5 | Nasdaq | 51.71 Bn | 49.14 Bn | 1.50 Bn | 16.37% |
| 6 | State Street | 47.94 Bn | 47.94 Bn | - | - |
| 7 | Interactive Brokers | 38.49 Bn | 31.95 Bn | - | 22.51% |
| 8 | Northern Trust | 30.99 Bn | 30.99 Bn | - | 16.99% |
| 9 | Cboe Global Markets | 28.76 Bn | 20.41 Bn | 731.60 Mn | 24.60% |
| 10 | LPL Financial Holdings | 24.08 Bn | 19.40 Bn | - | 17.60% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.03% |
| Mar 31, 2026 | 13.32% |
| Dec 31, 2025 | 12.55% |
| Sep 30, 2025 | 11.89% |
| Jun 30, 2025 | 11.38% |
| Mar 31, 2025 | 11.12% |
| Dec 31, 2024 | 10.82% |
| Sep 30, 2024 | 8.62% |
| Jun 30, 2024 | 8.43% |
| Mar 31, 2024 | 8.22% |
| Dec 31, 2023 | 8.08% |
| Sep 30, 2023 | 8.90% |
| Jun 30, 2023 | 7.33% |
| Mar 31, 2023 | 6.84% |
| Dec 31, 2022 | 6.37% |
| Sep 30, 2022 | 7.15% |
| Jun 30, 2022 | 8.29% |
| Mar 31, 2022 | 8.47% |
| Dec 31, 2021 | 8.67% |
| Sep 30, 2021 | 8.17% |
Bank of New York Mellon Return on Equity [ROE] 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=return-on-equity-%5Broe%5D&ticker=BNY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-equity-[roe]", "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=return-on-equity-%5Broe%5D&ticker=BNY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();