PFS Bancorp (PFSB) Operating Expenses (2022 - 2026)
PFS Bancorp (PFSB) reported Operating Expenses of $1.24 million for Q2 2026, up 19.3% from $1.04 million a year earlier but down 0.7% from the prior quarter.
PFS Bancorp (PFSB) Operating Expenses (2022 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, PFS Bancorp's Operating Expenses came in at $4.76 million, up 3.5% year-over-year; for FY2025, it was $4.35 million, down 6.4% from FY2024.
- Operating Expenses has a three-year compound annual growth rate of 6.2% (FY2022 to FY2025).
- By year, Operating Expenses came in at $4.65 million in FY2024 (+15.8%), $4.01 million in FY2023 (+10.6%) and $3.63 million in FY2022.
- Five-year quarterly Operating Expenses spans a low of $844,000 in Q2 2022 and a high of $1.49 million in Q4 2024.
- Year over year, Operating Expenses gained in five of the last eight quarters, with growth averaging 9.0%.
- The high point for year-over-year Operating Expenses in five years was Q4 2024 (growth of 37.4%); the low point was Q4 2025 (a decline of 21.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.24 million (Q1 2026), $1.16 million (Q4 2025) and $1.11 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 27.32 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -3,218.32 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 18.63 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 13.90 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 7.02 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 17.50 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 11.67 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 13.66 Bn |
| 10 | PFS Bancorp | 35.82 Mn | 35.82 Mn | - | 1.24 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.24 Mn |
| Mar 31, 2026 | 1.24 Mn |
| Dec 31, 2025 | 1.16 Mn |
| Sep 30, 2025 | 1.11 Mn |
| Jun 30, 2025 | 1.04 Mn |
| Mar 31, 2025 | 1.04 Mn |
| Dec 31, 2024 | 1.49 Mn |
| Sep 30, 2024 | 1.04 Mn |
| Jun 30, 2024 | 1.06 Mn |
| Mar 31, 2024 | 1.06 Mn |
| Dec 31, 2023 | 1.08 Mn |
| Sep 30, 2023 | 903,000.00 |
| Jun 30, 2023 | 1.04 Mn |
| Mar 31, 2023 | 984,000.00 |
| Dec 31, 2022 | 1.10 Mn |
| Sep 30, 2022 | 845,000.00 |
| Jun 30, 2022 | 844,000.00 |
PFS Bancorp Operating Expenses 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=operating-expenses&ticker=PFSB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=PFSB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();