PFS Bancorp (PFSB) Total Liabilities (2022 - 2026)
PFS Bancorp (PFSB) recorded Total Liabilities of $168.62 million in Q2 2026, down 0.9% from $170.14 million a year earlier and down 1.8% from the prior quarter.
PFS Bancorp (PFSB) Total Liabilities (2022 - 2026) Analysis & Trends
At the end of FY2025, PFS Bancorp reported Total Liabilities of $167.86 million, up 4.3% from FY2024.
- Annual Total Liabilities has increased for three straight years, with a three-year compound annual growth rate of 2.9% (FY2022 to FY2025).
- Across earlier years, Total Liabilities came in at $160.96 million in FY2024 (+2.2%), $157.53 million in FY2023 (+2.3%) and $154 million in FY2022.
- Quarterly Total Liabilities has ranged from $154 million in Q4 2022 to $182.05 million in Q3 2023 over the past five years.
- On a year-over-year basis, Total Liabilities rose in six of the last eight quarters, with growth averaging 1.0%.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 4.9% in Q2 2025, against a decline of 12.0% in Q3 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $171.73 million (Q1 2026), $167.86 million (Q4 2025) and $164.63 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 4,640.47 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | 62,410.98 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 3,198.10 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | 413.71 Bn |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 1,557.62 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 1,688.09 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 2,612.60 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 2,004.97 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 2,099.88 Bn |
| 10 | PFS Bancorp | 35.82 Mn | 35.82 Mn | - | 168.62 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 168.62 Mn |
| Mar 31, 2026 | 171.73 Mn |
| Dec 31, 2025 | 167.86 Mn |
| Sep 30, 2025 | 164.63 Mn |
| Jun 30, 2025 | 170.14 Mn |
| Mar 31, 2025 | 167.59 Mn |
| Dec 31, 2024 | 160.96 Mn |
| Sep 30, 2024 | 160.23 Mn |
| Jun 30, 2024 | 162.13 Mn |
| Mar 31, 2024 | 161.33 Mn |
| Dec 31, 2023 | 157.53 Mn |
| Sep 30, 2023 | 182.05 Mn |
| Jun 30, 2023 | 164.37 Mn |
| Dec 31, 2022 | 154.00 Mn |
PFS Bancorp Total Liabilities 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=total-liabilities&ticker=PFSB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=PFSB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();