PFS Bancorp (PFSB) Securities - Available for Sale (2022 - 2026)
PFS Bancorp's Securities - Available for Sale was $57.96 million in Q3 2026, down 15.6% from $68.68 million a year earlier and down 8.2% from the prior quarter.
PFS Bancorp (PFSB) Securities - Available for Sale (2022 - 2026) Analysis & Trends
At the end of FY2025, Securities - Available for Sale at PFS Bancorp came in at $66.93 million, up 0.4% from FY2024.
- Securities - Available for Sale has now increased for three consecutive years, with a three-year compound annual growth rate of 1.9% (FY2022 to FY2025).
- In earlier years, Securities - Available for Sale was $66.66 million in FY2024 (+5.0%), $63.51 million in FY2023 (+0.3%) and $63.33 million in FY2022.
- The Q3 2026 figure marks the lowest quarterly Securities - Available for Sale since Q3 2023.
- Compared with a year earlier, Securities - Available for Sale has declined for three straight quarters, with an average decline of 3.6% over the last eight quarters.
- The best year-over-year quarter for Securities - Available for Sale over five years was Q3 2024 (growth of 25.5%); the worst was Q3 2026 (a decline of 15.6%).
- Per Business Quant data, PFSB's Securities - Available for Sale in the three quarters before Q3 2026 was $63.16 million (Q2 2026), $64.86 million (Q1 2026) and $66.93 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Securities - Available for Sale (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - | 547.19 Bn |
| 2 | Banco Santander Chile | 407.42 Bn | -7,109.68 Bn | - | - |
| 3 | Bank Of America | 353.20 Bn | -2,022.91 Bn | - | 345.64 Bn |
| 4 | Hsbc Holdings | 307.88 Bn | -2,967.28 Bn | - | - |
| 5 | Morgan Stanley | 298.41 Bn | -244.41 Bn | - | 103.71 Bn |
| 6 | Royal Bank Of Canada | 283.46 Bn | -546.54 Bn | - | - |
| 7 | Goldman Sachs | 264.45 Bn | -3,478.99 Bn | - | 172.41 Bn |
| 8 | Mitsubishi Ufj Financial | 259.19 Bn | -159.36 Bn | 5.24 Bn | - |
| 9 | Wells Fargo & Company | 258.28 Bn | 93.72 Bn | - | 255.77 Bn |
| 10 | PFS Bancorp | 31.95 Mn | 25.15 Mn | - | 57.96 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 57.96 Mn |
| Jun 30, 2026 | 63.16 Mn |
| Mar 31, 2026 | 64.86 Mn |
| Dec 31, 2025 | 66.93 Mn |
| Sep 30, 2025 | 68.68 Mn |
| Jun 30, 2025 | 71.12 Mn |
| Mar 31, 2025 | 68.77 Mn |
| Dec 31, 2024 | 66.66 Mn |
| Sep 30, 2024 | 70.70 Mn |
| Jun 30, 2024 | 70.12 Mn |
| Mar 31, 2024 | 68.74 Mn |
| Dec 31, 2023 | 63.51 Mn |
| Sep 30, 2023 | 56.31 Mn |
| Jun 30, 2023 | 59.06 Mn |
| Dec 31, 2022 | 63.33 Mn |
| Sep 30, 2022 | 743,000.00 |
| Jun 30, 2022 | 559,000.00 |
PFS Bancorp Securities - Available for Sale 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=securities-available-for-sale&ticker=PFSB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "securities-available-for-sale", "ticker": "PFSB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=securities-available-for-sale&ticker=PFSB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();