Bank of New York Mellon (BNY) Maturities of AFS Securities (2009 - 2026)
Bank of New York Mellon (BNY) reported Maturities of AFS Securities of $2.03 billion for Q3 2019, up 12.3% from $1.81 billion a year earlier and up 11.4% from the prior quarter.
Bank of New York Mellon (BNY) Maturities of AFS Securities (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2019, Bank of New York Mellon's Maturities of AFS Securities came in at $7.29 billion, down 6.1% year-over-year; for FY2018, it was $7.72 billion, down 15.5% from FY2017.
- Maturities of AFS Securities has a five-year compound annual growth rate of -4.3% (FY2013 to FY2018).
- By year, Maturities of AFS Securities came in at $9.13 billion in FY2017 (+3.4%), $8.83 billion in FY2016 (+0.6%), $8.78 billion in FY2015 (+21.0%) and $7.25 billion in FY2014 (-24.6%).
- The Q3 2019 figure ranks as the highest quarterly Maturities of AFS Securities since Q2 2018.
- Year over year, Maturities of AFS Securities gained in 1 of the last eight quarters, with an average decline of 11.2%.
- The high point for year-over-year Maturities of AFS Securities in five years was Q2 2015 (growth of 29.7%); the low point was Q3 2018 (a decline of 23.5%).
- Per Business Quant data, the three quarters before Q3 2019 came in at $1.83 billion (Q2 2019), $1.4 billion (Q1 2019) and $2.03 billion (Q4 2018).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Maturities of AFS Securities (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 113.65 Bn | 101.99 Bn | 359.20 Mn | - |
| 2 | Bank of New York Mellon | 103.23 Bn | 37.32 Bn | - | 2.99 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 | - | 5.42 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 | - | - |
| 10 | Tradeweb Markets | 30.81 Bn | 23.33 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.99 Bn |
| Jun 30, 2026 | 3.17 Bn |
| Mar 31, 2026 | 2.10 Bn |
| Dec 31, 2025 | 2.84 Bn |
| Sep 30, 2025 | 1.92 Bn |
| Jun 30, 2025 | 1.79 Bn |
| Mar 31, 2025 | 1.60 Bn |
| Dec 31, 2024 | 2.74 Bn |
| Sep 30, 2024 | 2.05 Bn |
| Jun 30, 2024 | 1.59 Bn |
| Mar 31, 2024 | 1.19 Bn |
| Dec 31, 2023 | 1.10 Bn |
| Sep 30, 2023 | 960.00 Mn |
| Jun 30, 2023 | 930.00 Mn |
| Mar 31, 2023 | 904.00 Mn |
| Dec 31, 2022 | 1.01 Bn |
| Sep 30, 2022 | 1.00 Bn |
| Jun 30, 2022 | 1.45 Bn |
| Mar 31, 2022 | 1.75 Bn |
| Dec 31, 2021 | 2.64 Bn |
Bank of New York Mellon Maturities of AFS Securities 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=maturities-of-afs-securities&ticker=BNY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "maturities-of-afs-securities", "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=maturities-of-afs-securities&ticker=BNY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();