S&T Bancorp (STBA) Purchase of AFS Securities (2009 - 2026)
S&T Bancorp (STBA) reported Purchase of AFS Securities of $76.35 million for Q2 2026, up 167.1% from $28.59 million a year earlier and up 21.6% from the prior quarter.
S&T Bancorp (STBA) Purchase of AFS Securities (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, S&T Bancorp's Purchase of AFS Securities came in at $167.88 million, down 44.7% year-over-year; for FY2025, it came in at $142.39 million, down 54.6% from FY2024.
- Purchase of AFS Securities has a five-year compound annual growth rate of -4.4% (FY2020 to FY2025).
- By year, Purchase of AFS Securities came in at $313.55 million in FY2024 (+214.9%), $99.58 million in FY2023 (-75.2%), $401.05 million in FY2022 (+27.9%) and $313.62 million in FY2021 (+75.8%).
- The Q2 2026 figure ranks as the highest quarterly Purchase of AFS Securities since Q1 2025.
- Year over year, Purchase of AFS Securities gained in four of the last eight quarters, with growth averaging 51.5%.
- The high point for year-over-year Purchase of AFS Securities in five years was Q3 2021 (growth of 629.8%); the low point was Q1 2023 (a decline of 94.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $62.78 million (Q1 2026), $19.48 million (Q4 2025) and $9.27 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Purchase of AFS Securities (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 73.61 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | -69.51 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 7.20 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 25.10 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 32.96 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | S&T Bancorp | 1.81 Bn | -3.09 Bn | - | 29.84 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 29.84 Mn |
| Jun 30, 2026 | 76.35 Mn |
| Mar 31, 2026 | 62.78 Mn |
| Dec 31, 2025 | 19.48 Mn |
| Sep 30, 2025 | 9.27 Mn |
| Jun 30, 2025 | 28.59 Mn |
| Mar 31, 2025 | 85.05 Mn |
| Dec 31, 2024 | 91.13 Mn |
| Sep 30, 2024 | 98.80 Mn |
| Jun 30, 2024 | 89.37 Mn |
| Mar 31, 2024 | 34.24 Mn |
| Dec 31, 2023 | 34.44 Mn |
| Sep 30, 2023 | 33.42 Mn |
| Jun 30, 2023 | 20.50 Mn |
| Mar 31, 2023 | 11.23 Mn |
| Dec 31, 2022 | 47.97 Mn |
| Sep 30, 2022 | 41.12 Mn |
| Jun 30, 2022 | 100.70 Mn |
| Mar 31, 2022 | 211.27 Mn |
| Dec 31, 2021 | 86.65 Mn |
S&T Bancorp Purchase 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=purchase-of-afs-securities&ticker=STBA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "purchase-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=purchase-of-afs-securities&ticker=STBA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();