Quaint Oak Bancorp (QNTO) Total Liabilities (2009 - 2026)
Quaint Oak Bancorp (QNTO) reported Total Liabilities of $580.58 million for Q3 2026, down 7.1% from $624.96 million a year earlier but up 0.6% from the prior quarter.
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Analysis
Quaint Oak Bancorp (QNTO) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Quaint Oak Bancorp posted Total Liabilities of $623.52 million, down 1.4% from FY2024.
- Total Liabilities has declined for three consecutive years, though with a five-year compound annual growth rate of 6.5% (FY2020 to FY2025).
- By year, Total Liabilities came in at $632.55 million in FY2024 (-10.4%), $705.63 million in FY2023 (-5.6%), $747.56 million in FY2022 (+44.5%) and $517.21 million in FY2021 (+13.6%).
- Five-year quarterly Total Liabilities spans a low of $495.9 million in Q1 2022 and a high of $762.18 million in Q1 2023.
- Year over year, Total Liabilities has now declined in each of the last 12 quarters, with an average decline of 6.6% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was Q1 2023 (growth of 53.7%); the low point was Q1 2025 (a decline of 17.5%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $577.37 million (Q2 2026), $590.72 million (Q1 2026) and $623.52 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 4,719.18 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | 69.48 Bn |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 3,130.96 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 3,248.55 Bn |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 1,573.71 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 1,679.93 Bn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 2,055.50 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 2,075.41 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 2,571.74 Bn |
| 10 | Quaint Oak Bancorp | 39.77 Mn | 39.77 Mn | - | 580.58 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 580.58 Mn |
| Jun 30, 2026 | 577.37 Mn |
| Mar 31, 2026 | 590.72 Mn |
| Dec 31, 2025 | 623.52 Mn |
| Sep 30, 2025 | 624.96 Mn |
| Jun 30, 2025 | 618.50 Mn |
| Mar 31, 2025 | 598.10 Mn |
| Dec 31, 2024 | 632.55 Mn |
| Sep 30, 2024 | 650.21 Mn |
| Jun 30, 2024 | 650.50 Mn |
| Mar 31, 2024 | 725.36 Mn |
| Dec 31, 2023 | 705.63 Mn |
| Sep 30, 2023 | 713.86 Mn |
| Jun 30, 2023 | 735.03 Mn |
| Mar 31, 2023 | 762.18 Mn |
| Dec 31, 2022 | 747.56 Mn |
| Sep 30, 2022 | 661.65 Mn |
| Jun 30, 2022 | 709.74 Mn |
| Mar 31, 2022 | 495.90 Mn |
| Dec 31, 2021 | 517.21 Mn |
API Access
Quaint Oak 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=QNTO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-liabilities&ticker=QNTO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();