Quaint Oak Bancorp (QNTO) Amortizatization of Intangibles (2016 - 2023)
Quaint Oak Bancorp (QNTO) posted Amortizatization of Intangibles of $12,000 for Q3 2023, unchanged from $12,000 a year earlier and unchanged from the prior quarter.
Quaint Oak Bancorp (QNTO) Amortizatization of Intangibles (2016 - 2023) Analysis & Trends
For the trailing twelve months through Sep 30, 2023, Amortizatization of Intangibles at Quaint Oak Bancorp was $49,000, unchanged year-over-year; for FY2022, it was $49,000, unchanged from FY2021.
- Annual Amortizatization of Intangibles shows a five-year compound annual growth rate of 0.0% (FY2017 to FY2022).
- In prior years, Quaint Oak Bancorp's Amortizatization of Intangibles was $49,000 in FY2021 (unchanged), $49,000 in FY2020 (unchanged), $49,000 in FY2019 (+2.1%) and $48,000 in FY2018 (-2.0%).
- Quarterly Amortizatization of Intangibles has run from a low of $12,000 in Q4 2018 to a high of $13,000 in Q4 2022 over five years.
- On a year-over-year basis, Amortizatization of Intangibles increased in 1 of the last eight quarters, with growth averaging 1.0%.
- The strongest year-over-year quarter for Amortizatization of Intangibles in the past five years was Q4 2021, with growth of 8.3%; the weakest was Q4 2020, with a decline of 7.7%.
- According to Business Quant data, Amortizatization of Intangibles for the three prior quarters was $12,000 (Q2 2023), $12,000 (Q1 2023) and $13,000 (Q4 2022).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (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 | - | - |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | - |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | 287.60 Mn |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | - |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | - |
| 10 | Quaint Oak Bancorp | 38.97 Mn | -160.71 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | 12,000.00 |
| Jun 30, 2023 | 12,000.00 |
| Mar 31, 2023 | 12,000.00 |
| Dec 31, 2022 | 13,000.00 |
| Sep 30, 2022 | 12,000.00 |
| Jun 30, 2022 | 12,000.00 |
| Mar 31, 2022 | 12,000.00 |
| Dec 31, 2021 | 13,000.00 |
| Sep 30, 2021 | 12,000.00 |
| Jun 30, 2021 | 12,000.00 |
| Mar 31, 2021 | 12,000.00 |
| Dec 31, 2020 | 12,000.00 |
| Sep 30, 2020 | 12,000.00 |
| Jun 30, 2020 | 12,000.00 |
| Mar 31, 2020 | 12,000.00 |
| Dec 31, 2019 | 13,000.00 |
| Sep 30, 2019 | 12,000.00 |
| Jun 30, 2019 | 12,000.00 |
| Mar 31, 2019 | 12,000.00 |
| Dec 31, 2018 | 12,000.00 |
Quaint Oak Bancorp Amortizatization of Intangibles 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=amortizatization-of-intangibles&ticker=QNTO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "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=amortizatization-of-intangibles&ticker=QNTO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();