Bank of New York Mellon (BNY) Loans - Gross (2009 - 2026)
Bank of New York Mellon (BNY) recorded Loans - Gross of $89.16 billion in Q3 2026, up 18.6% from $75.2 billion a year earlier and up 0.5% from the prior quarter.
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Analysis
Bank of New York Mellon (BNY) Loans - Gross (2009 - 2026) Analysis & Trends
At the end of FY2025, Bank of New York Mellon reported Loans - Gross of $80.62 billion, up 12.6% from FY2024.
- Annual Loans - Gross has increased for three straight years, with a five-year compound annual growth rate of 7.4% (FY2020 to FY2025).
- Across earlier years, Loans - Gross came in at $71.57 billion in FY2024 (+7.0%), $66.88 billion in FY2023 (+1.2%), $66.06 billion in FY2022 (-2.5%) and $67.79 billion in FY2021 (+20.0%).
- Quarterly Loans - Gross has ranged from $62.32 billion in Q1 2023 to $101.26 billion in Q1 2026 over the past five years.
- On a year-over-year basis, Loans - Gross has increased for six consecutive quarters, with growth averaging 13.8% over the last eight quarters.
- Peak year-over-year performance for Loans - Gross in the last five years was growth of 41.8% in Q1 2026, against a decline of 8.4% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $88.74 billion (Q2 2026), $101.26 billion (Q1 2026) and $80.62 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Loans - Gross (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 113.65 Bn | 101.99 Bn | 359.20 Mn | - |
| 2 | Bank of New York Mellon | 103.23 Bn | 37.32 Bn | - | 89.16 Bn |
| 3 | Intercontinental Exchange | 99.60 Bn | 93.42 Bn | 1.22 Bn | - |
| 4 | Robinhood Markets | 70.15 Bn | 49.76 Bn | - | - |
| 5 | Nasdaq | 60.57 Bn | 58.01 Bn | 1.48 Bn | - |
| 6 | State Street | 47.32 Bn | 43.94 Bn | - | - |
| 7 | Cboe Global Markets | 39.19 Bn | 29.68 Bn | 712.20 Mn | - |
| 8 | Interactive Brokers | 37.06 Bn | 20.72 Bn | - | - |
| 9 | Northern Trust | 32.28 Bn | 32.28 Bn | - | 41.72 Bn |
| 10 | Tradeweb Markets | 30.81 Bn | 23.33 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 89.16 Bn |
| Jun 30, 2026 | 88.74 Bn |
| Mar 31, 2026 | 101.26 Bn |
| Dec 31, 2025 | 80.62 Bn |
| Sep 30, 2025 | 75.20 Bn |
| Jun 30, 2025 | 73.10 Bn |
| Mar 31, 2025 | 71.40 Bn |
| Dec 31, 2024 | 71.57 Bn |
| Sep 30, 2024 | 69.45 Bn |
| Jun 30, 2024 | 70.64 Bn |
| Mar 31, 2024 | 73.62 Bn |
| Dec 31, 2023 | 66.88 Bn |
| Sep 30, 2023 | 66.29 Bn |
| Jun 30, 2023 | 64.47 Bn |
| Mar 31, 2023 | 62.32 Bn |
| Dec 31, 2022 | 66.06 Bn |
| Sep 30, 2022 | 69.83 Bn |
| Jun 30, 2022 | 69.35 Bn |
| Mar 31, 2022 | 68.05 Bn |
| Dec 31, 2021 | 67.79 Bn |
API Access
Bank of New York Mellon Loans - Gross 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=loans-gross&ticker=BNY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "loans-gross", "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=loans-gross&ticker=BNY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();