FS Bancorp (FSBW) Total Non-Current Liabilities (2011 - 2026)
FS Bancorp (FSBW) reported Total Non-Current Liabilities of $2.83 billion for Q2 2026, down 0.5% from $2.85 billion a year earlier and down 1.1% from the prior quarter.
FS Bancorp (FSBW) Total Non-Current Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025, FS Bancorp posted Total Non-Current Liabilities of $2.86 billion, up 5.8% from FY2024.
- Total Non-Current Liabilities has increased for 14 consecutive years, with a five-year compound annual growth rate of 9.0% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $2.7 billion in FY2024 (+1.1%), $2.67 billion in FY2023 (+12.8%), $2.37 billion in FY2022 (+17.7%) and $2.01 billion in FY2021 (+8.5%).
- The Q2 2026 figure ranks as the lowest quarterly Total Non-Current Liabilities since Q1 2025.
- Year over year, Total Non-Current Liabilities gained in seven of the last eight quarters, with growth averaging 4.0%.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q1 2023 (growth of 24.8%); the low point was Q2 2026 (a decline of 0.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $2.86 billion (Q1 2026), $2.86 billion (Q4 2025) and $2.87 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 4,639.66 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | 60,162.97 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 3,155.50 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | 381.20 Bn |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | - |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 1,603.10 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | 2,449.29 Bn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 1,977.24 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | - |
| 10 | FS Bancorp | 325.38 Mn | 167.47 Mn | - | 2.83 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.83 Bn |
| Mar 31, 2026 | 2.86 Bn |
| Dec 31, 2025 | 2.86 Bn |
| Sep 30, 2025 | 2.87 Bn |
| Jun 30, 2025 | 2.85 Bn |
| Mar 31, 2025 | 2.74 Bn |
| Dec 31, 2024 | 2.70 Bn |
| Sep 30, 2024 | 2.65 Bn |
| Jun 30, 2024 | 2.62 Bn |
| Mar 31, 2024 | 2.65 Bn |
| Dec 31, 2023 | 2.67 Bn |
| Sep 30, 2023 | 2.63 Bn |
| Jun 30, 2023 | 2.62 Bn |
| Mar 31, 2023 | 2.51 Bn |
| Dec 31, 2022 | 2.37 Bn |
| Sep 30, 2022 | 2.40 Bn |
| Jun 30, 2022 | 2.15 Bn |
| Mar 31, 2022 | 2.01 Bn |
| Dec 31, 2021 | 2.01 Bn |
| Sep 30, 2021 | 1.96 Bn |
FS Bancorp Total Non-Current 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-non-current-liabilities&ticker=FSBW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "FSBW", "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-non-current-liabilities&ticker=FSBW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();