Bank Of America (BAC) Maturities of AFS Securities (2010 - 2026)
Bank Of America's Maturities of AFS Securities came in at $85.55 billion for FY2013, up 19.6% from $71.51 billion in FY2012.
Analysis
Bank Of America (BAC) Maturities of AFS Securities (2010 - 2026) Analysis & Trends
- Per Business Quant, earlier years put Maturities of AFS Securities at $71.51 billion in FY2012 (+26.0%) and $56.73 billion in FY2011.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Maturities of AFS Securities (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - | 10.12 Bn |
| 2 | Banco Santander Chile | 407.42 Bn | -7,109.68 Bn | - | - |
| 3 | Bank Of America | 353.20 Bn | -2,022.91 Bn | - | 21.35 Bn |
| 4 | Hsbc Holdings | 307.88 Bn | -2,967.28 Bn | - | - |
| 5 | Morgan Stanley | 298.41 Bn | -244.41 Bn | - | 6.75 Bn |
| 6 | Royal Bank Of Canada | 283.46 Bn | -546.54 Bn | - | - |
| 7 | Goldman Sachs | 264.45 Bn | -3,478.99 Bn | - | 813.00 Mn |
| 8 | Mitsubishi Ufj Financial | 259.19 Bn | -159.36 Bn | 5.24 Bn | - |
| 9 | Wells Fargo & Company | 258.28 Bn | 93.72 Bn | - | 6.74 Bn |
| 10 | American Express | 215.12 Bn | 14.60 Bn | - | 272.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 21.35 Bn |
| Jun 30, 2026 | 27.82 Bn |
| Mar 31, 2026 | 27.06 Bn |
| Dec 31, 2025 | 36.53 Bn |
| Sep 30, 2025 | 23.31 Bn |
| Jun 30, 2025 | 19.75 Bn |
| Mar 31, 2025 | 20.72 Bn |
| Dec 31, 2024 | 20.34 Bn |
| Sep 30, 2024 | 29.08 Bn |
| Jun 30, 2024 | 95.46 Bn |
| Mar 31, 2024 | 93.06 Bn |
| Dec 31, 2023 | 98.69 Bn |
| Sep 30, 2023 | 14.83 Bn |
| Jun 30, 2023 | 16.09 Bn |
| Mar 31, 2023 | 19.09 Bn |
| Dec 31, 2022 | 20.03 Bn |
| Sep 30, 2022 | 22.45 Bn |
| Jun 30, 2022 | 38.06 Bn |
| Mar 31, 2022 | 29.65 Bn |
| Dec 31, 2021 | 35.47 Bn |
API Access
Bank Of America 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=BAC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "maturities-of-afs-securities", "ticker": "BAC", "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=BAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();