Bank of New York Mellon (BNY) Cash from Operations (2012 - 2026)
Bank of New York Mellon's Cash from Operations was $2.46 billion in Q2 2026, up 12.1% from $2.2 billion a year earlier.
Bank of New York Mellon (BNY) Cash from Operations (2012 - 2026) Analysis & Trends
On a trailing twelve-month basis, Bank of New York Mellon's Cash from Operations was $3.57 billion through Jun 30, 2026, down 7.2% year-over-year; for FY2025, it came in at $6.73 billion, up 879.6% from FY2024.
- Cash from Operations shows a five-year compound annual growth rate of 6.0% (FY2020 to FY2025).
- In earlier years, Cash from Operations was $687 million in FY2024 (-88.4%), $5.91 billion in FY2023 (-60.8%), $15.07 billion in FY2022 (+430.9%) and $2.84 billion in FY2021 (-43.7%).
- Quarterly Cash from Operations has moved between -$3.01 billion (Q1 2026) and $5.19 billion (Q4 2025) over five years.
- The best year-over-year quarter for Cash from Operations over five years was Q4 2025 (growth of 234.5%); the worst was Q3 2021 (a decline of 93.1%).
- Per Business Quant data, BNY's Cash from Operations in the three quarters before Q2 2026 was -$3.01 billion (Q1 2026), $5.19 billion (Q4 2025) and -$1.06 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 101.35 Bn | 82.45 Bn | - | 720.00 Mn |
| 2 | Bank of New York Mellon | 98.65 Bn | 38.02 Bn | - | 2.46 Bn |
| 3 | Cme | 94.54 Bn | 94.54 Bn | - | 947.10 Mn |
| 4 | Intercontinental Exchange | 84.23 Bn | 78.04 Bn | - | 2.00 Bn |
| 5 | Nasdaq | 50.77 Bn | 48.20 Bn | 1.50 Bn | 711.00 Mn |
| 6 | State Street | 48.31 Bn | 48.31 Bn | - | -2.33 Bn |
| 7 | Interactive Brokers | 39.79 Bn | 33.24 Bn | - | 6.22 Bn |
| 8 | Northern Trust | 31.37 Bn | 31.37 Bn | - | -64.90 Mn |
| 9 | Cboe Global Markets | 28.34 Bn | 20.00 Bn | 731.60 Mn | -503.20 Mn |
| 10 | LPL Financial Holdings | 24.92 Bn | 20.24 Bn | - | 401.95 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.46 Bn |
| Mar 31, 2026 | -3.01 Bn |
| Dec 31, 2025 | 5.19 Bn |
| Sep 30, 2025 | -1.06 Bn |
| Jun 30, 2025 | 2.20 Bn |
| Mar 31, 2025 | 412.00 Mn |
| Dec 31, 2024 | 1.55 Bn |
| Sep 30, 2024 | -312.00 Mn |
| Jun 30, 2024 | 2.13 Bn |
| Mar 31, 2024 | -2.68 Bn |
| Dec 31, 2023 | -2.07 Bn |
| Sep 30, 2023 | 5.04 Bn |
| Jun 30, 2023 | 1.15 Bn |
| Mar 31, 2023 | 1.79 Bn |
| Dec 31, 2022 | 2.92 Bn |
| Sep 30, 2022 | 3.73 Bn |
| Jun 30, 2022 | 4.99 Bn |
| Mar 31, 2022 | 3.43 Bn |
| Dec 31, 2021 | 3.13 Bn |
| Sep 30, 2021 | 54.00 Mn |
Bank of New York Mellon Cash from Operations 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=cash-from-operations&ticker=BNY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=BNY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();