Quaint Oak Bancorp (QNTO) Total Liabilities (2010 - 2026)
Quaint Oak Bancorp (QNTO) reported Total Liabilities of $577.37 million for Q2 2026, down 6.7% from $618.5 million a year earlier and down 2.3% from the prior quarter.
Quaint Oak Bancorp (QNTO) Total Liabilities (2010 - 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%).
- The Q2 2026 figure ranks as the lowest quarterly Total Liabilities since Q1 2022.
- Year over year, Total Liabilities has now declined in each of the last 11 quarters, with an average decline of 6.9% 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 Q2 2026 came in at $590.72 million (Q1 2026), $623.52 million (Q4 2025) and $624.96 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 4,640.47 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | 62,410.98 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 3,198.10 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | 413.71 Bn |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 1,557.62 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 1,688.09 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | 2,612.60 Bn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 2,004.97 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 2,099.88 Bn |
| 10 | Quaint Oak Bancorp | 38.97 Mn | -160.71 Mn | - | 577.37 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 500.84 Mn |
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_KEY
import 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();