Bank of New York Mellon (BNY) EPS (Diluted) (2009 - 2026)
Bank of New York Mellon (BNY) recorded EPS (Diluted) of $2.45 in Q2 2026, up 26.8% from $1.93 a year earlier and up 9.5% from the prior quarter.
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Analysis
Bank of New York Mellon (BNY) EPS (Diluted) (2009 - 2026) Analysis & Trends
On a TTM basis, Bank of New York Mellon's EPS (Diluted) came in at $8.70 as of Jun 30, 2026, up 31.1% year-over-year; for FY2025, it came in at $7.40, up 25.3% from FY2024.
- Annual EPS (Diluted) has increased for three straight years, with a five-year compound annual growth rate of 14.0% (FY2020 to FY2025).
- Across earlier years, EPS (Diluted) came in at $5.91 in FY2024 (+48.8%), $3.97 in FY2023 (+38.2%), $2.87 in FY2022 (-33.9%) and $4.35 in FY2021 (+13.2%).
- The Q2 2026 figure is the highest quarterly EPS (Diluted) in data going back to Q1 2009.
- On a year-over-year basis, EPS (Diluted) has increased for ten consecutive quarters, with growth averaging 104.1% over the last eight quarters.
- Peak year-over-year performance for EPS (Diluted) in the last five years was growth of 634.0% in Q4 2024, against a decline of 66.4% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $2.24 (Q1 2026), $1.99 (Q4 2025) and $1.88 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 104.70 Bn | 85.79 Bn | - | 0.62 |
| 2 | Bank of New York Mellon | 100.72 Bn | 40.09 Bn | - | 2.45 |
| 3 | Cme | 94.58 Bn | 94.58 Bn | - | 2.88 |
| 4 | Intercontinental Exchange | 85.83 Bn | 79.63 Bn | - | 1.69 |
| 5 | Nasdaq | 52.05 Bn | 49.49 Bn | 1.50 Bn | 0.89 |
| 6 | State Street | 49.39 Bn | 49.39 Bn | - | 3.65 |
| 7 | Interactive Brokers | 39.24 Bn | 32.69 Bn | - | 0.69 |
| 8 | Northern Trust | 31.94 Bn | 31.94 Bn | - | 4.26 |
| 9 | Cboe Global Markets | 26.47 Bn | 18.13 Bn | 731.60 Mn | 3.35 |
| 10 | LPL Financial Holdings | 24.62 Bn | 19.94 Bn | - | 4.74 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.45 |
| Mar 31, 2026 | 2.24 |
| Dec 31, 2025 | 1.99 |
| Sep 30, 2025 | 1.88 |
| Jun 30, 2025 | 1.93 |
| Mar 31, 2025 | 1.58 |
| Dec 31, 2024 | 1.54 |
| Sep 30, 2024 | 1.50 |
| Jun 30, 2024 | 1.52 |
| Mar 31, 2024 | 1.25 |
| Dec 31, 2023 | 0.21 |
| Sep 30, 2023 | 1.23 |
| Jun 30, 2023 | 1.31 |
| Mar 31, 2023 | 1.13 |
| Dec 31, 2022 | 0.62 |
| Sep 30, 2022 | 0.39 |
| Jun 30, 2022 | 1.03 |
| Mar 31, 2022 | 0.86 |
| Dec 31, 2021 | 1.01 |
| Sep 30, 2021 | 1.04 |
API Access
Bank of New York Mellon EPS (Diluted) 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=eps-diluted&ticker=BNY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=BNY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();