Quaint Oak Bancorp (QNTO) Cash & Equivalents (2010 - 2026)
Quaint Oak Bancorp (QNTO) posted Cash & Equivalents of $48.26 million for Q2 2026, down 1.3% from $48.89 million a year earlier but up 8.0% from the prior quarter.
Quaint Oak Bancorp (QNTO) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Quaint Oak Bancorp's Cash & Equivalents came in at $53.55 million, down 15.0% from FY2024.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of 9.6% (FY2020 to FY2025).
- In prior years, Quaint Oak Bancorp's Cash & Equivalents was $62.99 million in FY2024 (+8.6%), $58.01 million in FY2023, $3.89 million in FY2022 (-63.6%) and $10.71 million in FY2021 (-68.4%).
- Quarterly Cash & Equivalents has run from a low of $3.87 million in Q1 2023 to a high of $146.32 million in Q1 2024 over five years.
- On a year-over-year basis, Cash & Equivalents has declined in each of the last six quarters, with growth averaging 43.0% over the last eight quarters.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q2 2024, with growth of 688.3%; the weakest was Q1 2023, with a decline of 91.2%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $44.67 million (Q1 2026), $53.55 million (Q4 2025) and $52.29 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | - |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 229.75 Bn |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | 29.08 Bn |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | 160.14 Bn |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | 46.00 Bn |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | 187.27 Bn |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | - |
| 10 | Quaint Oak Bancorp | 38.97 Mn | -160.71 Mn | - | 48.26 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 48.26 Mn |
| Mar 31, 2026 | 44.67 Mn |
| Dec 31, 2025 | 53.55 Mn |
| Sep 30, 2025 | 52.29 Mn |
| Jun 30, 2025 | 48.89 Mn |
| Mar 31, 2025 | 48.86 Mn |
| Dec 31, 2024 | 62.99 Mn |
| Sep 30, 2024 | 61.34 Mn |
| Jun 30, 2024 | 75.58 Mn |
| Mar 31, 2024 | 146.32 Mn |
| Dec 31, 2023 | 58.01 Mn |
| Sep 30, 2023 | 10.64 Mn |
| Jun 30, 2023 | 9.59 Mn |
| Mar 31, 2023 | 3.87 Mn |
| Dec 31, 2022 | 3.89 Mn |
| Sep 30, 2022 | 8.34 Mn |
| Jun 30, 2022 | 78.89 Mn |
| Mar 31, 2022 | 44.01 Mn |
| Dec 31, 2021 | 10.71 Mn |
| Sep 30, 2021 | 14.32 Mn |
Quaint Oak Bancorp Cash & Equivalents 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=cash-and-equivalents&ticker=QNTO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=QNTO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();