Quaint Oak Bancorp (QNTO) Retained Earnings (2010 - 2026)
Quaint Oak Bancorp (QNTO) posted Retained Earnings of $33.06 million for Q2 2026, up 1.1% from $32.7 million a year earlier and up 1.2% from the prior quarter.
Powered by 
Analysis
Quaint Oak Bancorp (QNTO) Retained Earnings (2010 - 2026) Analysis & Trends
At the end of FY2025, Quaint Oak Bancorp's Retained Earnings came in at $32.63 million, down 1.7% from FY2024.
- Annual Retained Earnings shows a five-year compound annual growth rate of 12.1% (FY2020 to FY2025).
- In prior years, Quaint Oak Bancorp's Retained Earnings was $33.2 million in FY2024 (+4.6%), $31.74 million in FY2023 (+2.8%), $30.88 million in FY2022 (+28.5%) and $24.03 million in FY2021 (+30.1%).
- The Q2 2026 figure stands as the highest quarterly Retained Earnings since Q4 2024.
- On a year-over-year basis, Retained Earnings increased in six of the last eight quarters, with growth averaging 1.6%.
- The strongest year-over-year quarter for Retained Earnings in the past five years was Q3 2022, with growth of 35.0%; the weakest was Q4 2025, with a decline of 1.7%.
- According to Business Quant data, Retained Earnings for the three prior quarters was $32.69 million (Q1 2026), $32.63 million (Q4 2025) and $32.56 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 445.02 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | 661.60 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 274.52 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | 21.39 Bn |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 122.77 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 74.21 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 102.78 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 174.35 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 237.23 Bn |
| 10 | Quaint Oak Bancorp | 38.97 Mn | -160.71 Mn | - | 33.06 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 33.06 Mn |
| Mar 31, 2026 | 32.69 Mn |
| Dec 31, 2025 | 32.63 Mn |
| Sep 30, 2025 | 32.56 Mn |
| Jun 30, 2025 | 32.70 Mn |
| Mar 31, 2025 | 32.77 Mn |
| Dec 31, 2024 | 33.20 Mn |
| Sep 30, 2024 | 31.96 Mn |
| Jun 30, 2024 | 32.06 Mn |
| Mar 31, 2024 | 32.30 Mn |
| Dec 31, 2023 | 31.74 Mn |
| Sep 30, 2023 | 30.90 Mn |
| Jun 30, 2023 | 31.44 Mn |
| Mar 31, 2023 | 31.16 Mn |
| Dec 31, 2022 | 30.88 Mn |
| Sep 30, 2022 | 29.93 Mn |
| Jun 30, 2022 | 27.56 Mn |
| Mar 31, 2022 | 26.06 Mn |
| Dec 31, 2021 | 24.03 Mn |
| Sep 30, 2021 | 22.17 Mn |
API Access
Quaint Oak Bancorp Retained Earnings 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=retained-earnings&ticker=QNTO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=QNTO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();