Quaint Oak Bancorp (QNTO) Other Liabilities (2009 - 2026)
Quaint Oak Bancorp's Other Liabilities came in at $335,000 for Q4 2025, down 34.6% from $512,000 a year earlier.
Analysis
Quaint Oak Bancorp (QNTO) Other Liabilities (2009 - 2026) Analysis & Trends
Going back to Q4 2011, Quaint Oak Bancorp's Other Liabilities data covers 10 quarters.
- Going back by year, Other Liabilities was $512,000 in FY2024 (+117.9%) and $235,000 in FY2023.
- The Q4 2025 figure represents the lowest quarterly Other Liabilities since Q4 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn |
| 10 | Quaint Oak Bancorp | 39.77 Mn | 39.77 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.96 Mn |
| Mar 31, 2026 | 2.21 Mn |
| Dec 31, 2025 | 335,000.00 |
| Sep 30, 2025 | 1.98 Mn |
| Jun 30, 2025 | 2.92 Mn |
| Mar 31, 2025 | 2.04 Mn |
| Dec 31, 2024 | 512,000.00 |
| Sep 30, 2024 | 2.87 Mn |
| Jun 30, 2024 | 3.73 Mn |
| Mar 31, 2024 | 3.16 Mn |
| Dec 31, 2023 | 235,000.00 |
| Sep 30, 2023 | 3.41 Mn |
| Jun 30, 2023 | 4.55 Mn |
| Mar 31, 2023 | 3.20 Mn |
| Sep 30, 2022 | 3.61 Mn |
| Jun 30, 2022 | 4.16 Mn |
| Mar 31, 2022 | 2.50 Mn |
| Dec 31, 2021 | 2.86 Mn |
| Sep 30, 2021 | 2.06 Mn |
| Jun 30, 2021 | 2.44 Mn |
API Access
Quaint Oak Bancorp Other 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=other-liabilities&ticker=QNTO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-liabilities", "ticker": "QNTO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=other-liabilities&ticker=QNTO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();