Quaint Oak Bancorp (QNTO) EV to CFO (2011 - 2026)
Quaint Oak Bancorp's EV to CFO was -0.31 in Q2 2026, compared with -1.64 a year earlier.
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Analysis
Quaint Oak Bancorp (QNTO) EV to CFO (2011 - 2026) Analysis & Trends
On a trailing twelve-month basis, Quaint Oak Bancorp's EV to CFO was -8.65 through Jun 30, 2026; for FY2025, it came in at -5.59.
- In earlier years, EV to CFO was -1.12 in FY2024 and -0.35 in FY2023.
- The Q2 2026 figure marks the highest quarterly EV to CFO since Q3 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - |
| 10 | Quaint Oak Bancorp | 38.97 Mn | -160.71 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -0.31 |
| Dec 31, 2025 | -5.59 |
| Sep 30, 2025 | -1.73 |
| Jun 30, 2025 | -1.64 |
| Mar 31, 2025 | -1.43 |
| Dec 31, 2024 | -1.12 |
| Sep 30, 2024 | -0.48 |
| Jun 30, 2024 | -0.58 |
| Mar 31, 2024 | -1.10 |
| Dec 31, 2023 | -0.35 |
| Sep 30, 2022 | 1.23 |
| Jun 30, 2022 | -1.19 |
| Mar 31, 2022 | 0.16 |
| Mar 31, 2019 | -1.05 |
| Dec 31, 2018 | -0.55 |
| Sep 30, 2018 | 8.47 |
| Jun 30, 2018 | 0.76 |
| Jun 30, 2017 | 93.43 |
| Mar 31, 2017 | 4.41 |
| Dec 31, 2016 | 3.69 |
API Access
Quaint Oak Bancorp EV to CFO 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=ev-to-cfo&ticker=QNTO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-cfo", "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=ev-to-cfo&ticker=QNTO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();