Morgan Stanley (MS) Maturities of AFS Securities (2010 - 2026)
Morgan Stanley's Maturities of AFS Securities was $8 billion in Q2 2026, up 110.6% from $3.8 billion a year earlier and up 32.8% from the prior quarter.
Morgan Stanley (MS) Maturities of AFS Securities (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Morgan Stanley's Maturities of AFS Securities was $26.68 billion through Jun 30, 2026, up 29.1% year-over-year; for FY2025, it came in at $21.77 billion, up 3.2% from FY2024.
- Maturities of AFS Securities has now increased for three consecutive years, with a five-year compound annual growth rate of 6.8% (FY2020 to FY2025).
- In earlier years, Maturities of AFS Securities was $21.09 billion in FY2024 (+47.3%), $14.32 billion in FY2023 (+6.6%), $13.44 billion in FY2022 (-49.1%) and $26.38 billion in FY2021 (+68.4%).
- The Q2 2026 figure marks the highest quarterly Maturities of AFS Securities in data going back to Q1 2013.
- Compared with a year earlier, Maturities of AFS Securities has increased for four straight quarters, with growth averaging 36.2% over the last eight quarters.
- The best year-over-year quarter for Maturities of AFS Securities over five years was Q4 2024 (growth of 138.1%); the worst was Q4 2022 (a decline of 64.0%).
- Per Business Quant data, MS's Maturities of AFS Securities in the three quarters before Q2 2026 was $6.02 billion (Q1 2026), $5.65 billion (Q4 2025) and $7.01 billion (Q3 2025).
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
| Date | Value |
|---|---|
| Sep 30, 2026 | 6.75 Bn |
| Jun 30, 2026 | 8.00 Bn |
| Mar 31, 2026 | 6.02 Bn |
| Dec 31, 2025 | 5.65 Bn |
| Sep 30, 2025 | 7.01 Bn |
| Jun 30, 2025 | 3.80 Bn |
| Mar 31, 2025 | 5.31 Bn |
| Dec 31, 2024 | 5.47 Bn |
| Sep 30, 2024 | 6.09 Bn |
| Jun 30, 2024 | 4.22 Bn |
| Mar 31, 2024 | 5.31 Bn |
| Dec 31, 2023 | 2.30 Bn |
| Sep 30, 2023 | 5.13 Bn |
| Jun 30, 2023 | 3.43 Bn |
| Mar 31, 2023 | 3.46 Bn |
| Dec 31, 2022 | 1.75 Bn |
| Sep 30, 2022 | 3.24 Bn |
| Jun 30, 2022 | 4.14 Bn |
| Mar 31, 2022 | 4.30 Bn |
| Dec 31, 2021 | 4.87 Bn |
Morgan Stanley 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=MS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "maturities-of-afs-securities", "ticker": "MS", "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=MS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();