RBB Bancorp (RBB) Amortization - Intangibles (2016 - 2024)
RBB Bancorp's Amortization - Intangibles was $201,000 in Q2 2024.
Analysis
RBB Bancorp (RBB) Amortization - Intangibles (2016 - 2024) Analysis & Trends
On a trailing twelve-month basis, RBB Bancorp's Amortization - Intangibles was $1.01 million through Jun 30, 2024; for FY2018, it came in at $575,000, up 62.0% from FY2017.
- Amortization - Intangibles shows a three-year compound annual growth rate of 70.0% (FY2015 to FY2018).
- In earlier years, Amortization - Intangibles was $355,000 in FY2017 (-4.6%), $372,000 in FY2016 (+217.9%) and $117,000 in FY2015.
- The Q2 2024 figure marks the highest quarterly Amortization - Intangibles since Q1 2019.
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 | RBB Bancorp | 442.14 Mn | -484.96 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2024 | 201,000.00 |
| Mar 31, 2019 | 388,000.00 |
| Dec 31, 2018 | 340,000.00 |
| Sep 30, 2018 | 76,000.00 |
| Jun 30, 2018 | 77,000.00 |
| Mar 31, 2018 | 81,000.00 |
| Dec 31, 2017 | 87,000.00 |
| Sep 30, 2017 | 87,000.00 |
| Jun 30, 2017 | 87,000.00 |
| Mar 31, 2017 | 94,000.00 |
| Dec 31, 2016 | 104,000.00 |
| Sep 30, 2016 | 103,000.00 |
| Jun 30, 2016 | 104,000.00 |
API Access
RBB Bancorp Amortization - 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=amortization-intangibles&ticker=RBB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "ticker": "RBB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=amortization-intangibles&ticker=RBB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();