PFS Bancorp (PFSB) Income Taxes Paid (2022 - 2026)
PFS Bancorp's Income Taxes Paid came in at $213,000 for Q3 2026, compared with -$58,000 a year earlier.
PFS Bancorp (PFSB) Income Taxes Paid (2022 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, PFS Bancorp reported Income Taxes Paid of $192,000, up 249.1% year-over-year; for FY2025, it was $178,000, down 33.6% from FY2024.
- Income Taxes Paid carries a three-year compound annual growth rate of -16.0% (FY2022 to FY2025).
- Going back by year, Income Taxes Paid was $268,000 in FY2024, $23,000 in FY2023 (-92.3%) and $300,000 in FY2022.
- The Q3 2026 figure represents the highest quarterly Income Taxes Paid in data going back to Q3 2022.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes Paid (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - | 3.84 Bn |
| 2 | Banco Santander Chile | 407.42 Bn | -7,109.68 Bn | - | - |
| 3 | Bank Of America | 353.20 Bn | -2,022.91 Bn | - | - |
| 4 | Hsbc Holdings | 307.88 Bn | -2,967.28 Bn | - | - |
| 5 | Morgan Stanley | 298.41 Bn | -244.41 Bn | - | 1.10 Bn |
| 6 | Royal Bank Of Canada | 283.46 Bn | -546.54 Bn | - | 788.20 Mn |
| 7 | Goldman Sachs | 264.45 Bn | -3,478.99 Bn | - | - |
| 8 | Mitsubishi Ufj Financial | 259.19 Bn | -159.36 Bn | 5.24 Bn | - |
| 9 | Wells Fargo & Company | 258.28 Bn | 93.72 Bn | - | - |
| 10 | PFS Bancorp | 31.95 Mn | 25.15 Mn | - | 213,000.00 |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 213,000.00 |
| Dec 31, 2025 | 23,000.00 |
| Sep 30, 2025 | -58,000.00 |
| Dec 31, 2024 | 14,000.00 |
| Sep 30, 2024 | -8,000.00 |
| Jun 30, 2024 | 107,000.00 |
| Mar 31, 2024 | 155,000.00 |
| Dec 31, 2023 | 47,000.00 |
| Sep 30, 2023 | 41,000.00 |
| Jun 30, 2023 | -37,000.00 |
| Mar 31, 2023 | -28,000.00 |
| Dec 31, 2022 | 69,000.00 |
| Sep 30, 2022 | 71,000.00 |
PFS Bancorp Income Taxes Paid 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=income-taxes-paid&ticker=PFSB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-taxes-paid", "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=income-taxes-paid&ticker=PFSB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();