S&T Bancorp (STBA) Maturities of AFS Securities (2009 - 2026)
S&T Bancorp (STBA) reported Maturities of AFS Securities of $37.33 million for Q2 2026, up 34.4% from $27.77 million a year earlier and up 9.2% from the prior quarter.
S&T Bancorp (STBA) Maturities of AFS Securities (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, S&T Bancorp's Maturities of AFS Securities came in at $147.46 million, down 3.1% year-over-year; for FY2025, it came in at $133.39 million, down 16.4% from FY2024.
- Maturities of AFS Securities has a five-year compound annual growth rate of -8.3% (FY2020 to FY2025).
- By year, Maturities of AFS Securities came in at $159.61 million in FY2024 (+8.1%), $147.71 million in FY2023 (-8.2%), $160.83 million in FY2022 (+11.0%) and $144.91 million in FY2021 (-29.5%).
- Five-year quarterly Maturities of AFS Securities spans a low of $27.02 million in Q1 2024 and a high of $51.74 million in Q4 2023.
- Year over year, Maturities of AFS Securities gained in four of the last eight quarters, with growth averaging 3.0%.
- The high point for year-over-year Maturities of AFS Securities in five years was Q3 2024 (growth of 42.7%); the low point was Q3 2021 (a decline of 61.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $34.17 million (Q1 2026), $38.09 million (Q4 2025) and $37.86 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Maturities of AFS Securities (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 10.12 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 21.35 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 6.75 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 813.00 Mn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 6.74 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | S&T Bancorp | 1.81 Bn | -3.09 Bn | - | 28.39 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 28.39 Mn |
| Jun 30, 2026 | 37.33 Mn |
| Mar 31, 2026 | 34.17 Mn |
| Dec 31, 2025 | 38.09 Mn |
| Sep 30, 2025 | 37.86 Mn |
| Jun 30, 2025 | 27.77 Mn |
| Mar 31, 2025 | 29.67 Mn |
| Dec 31, 2024 | 45.66 Mn |
| Sep 30, 2024 | 49.14 Mn |
| Jun 30, 2024 | 37.79 Mn |
| Mar 31, 2024 | 27.02 Mn |
| Dec 31, 2023 | 51.74 Mn |
| Sep 30, 2023 | 34.44 Mn |
| Jun 30, 2023 | 33.39 Mn |
| Mar 31, 2023 | 28.14 Mn |
| Dec 31, 2022 | 43.45 Mn |
| Sep 30, 2022 | 37.62 Mn |
| Jun 30, 2022 | 35.73 Mn |
| Mar 31, 2022 | 44.03 Mn |
| Dec 31, 2021 | 35.41 Mn |
S&T Bancorp 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=STBA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "maturities-of-afs-securities", "ticker": "STBA", "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=STBA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();