River Financial (RVRF) Amortizatization of Intangibles (2016 - 2026)
River Financial's Amortizatization of Intangibles came in at $76,000 for Q2 2026, down 26.2% from $103,000 a year earlier and down 7.3% from the prior quarter.
River Financial (RVRF) Amortizatization of Intangibles (2016 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, River Financial reported Amortizatization of Intangibles of $344,000, down 24.4% year-over-year; for FY2025, it was $399,000, down 22.1% from FY2024.
- Amortizatization of Intangibles has declined in each of the last six years, with a five-year compound annual growth rate of -20.6% (FY2020 to FY2025).
- Going back by year, Amortizatization of Intangibles was $512,000 in FY2024 (-23.7%), $671,000 in FY2023 (-22.8%), $869,000 in FY2022 (-18.6%) and $1.07 million in FY2021 (-15.7%).
- The Q2 2026 figure represents the lowest quarterly Amortizatization of Intangibles in data going back to Q1 2016.
- Year-over-year, Amortizatization of Intangibles has declined for 23 consecutive quarters, with an average decline of 23.0% over the last eight quarters.
- Over the past five years, the year-over-year decline in Amortizatization of Intangibles ranged from 16.1% (Q3 2021) to 26.2% (Q2 2026).
- Business Quant data shows RVRF's Amortizatization of Intangibles at $82,000 (Q1 2026), $89,000 (Q4 2025) and $97,000 (Q3 2025) in the three quarters before Q2 2026.
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 | River Financial | 365.57 Mn | 358.18 Mn | - | 76,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 76,000.00 |
| Mar 31, 2026 | 82,000.00 |
| Dec 31, 2025 | 89,000.00 |
| Sep 30, 2025 | 97,000.00 |
| Jun 30, 2025 | 103,000.00 |
| Mar 31, 2025 | 110,000.00 |
| Dec 31, 2024 | 118,000.00 |
| Sep 30, 2024 | 124,000.00 |
| Jun 30, 2024 | 131,000.00 |
| Mar 31, 2024 | 139,000.00 |
| Dec 31, 2023 | 149,000.00 |
| Sep 30, 2023 | 161,000.00 |
| Jun 30, 2023 | 175,000.00 |
| Mar 31, 2023 | 186,000.00 |
| Dec 31, 2022 | 199,000.00 |
| Sep 30, 2022 | 210,000.00 |
| Jun 30, 2022 | 224,000.00 |
| Mar 31, 2022 | 236,000.00 |
| Dec 31, 2021 | 248,000.00 |
| Sep 30, 2021 | 261,000.00 |
River Financial 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=RVRF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "ticker": "RVRF", "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=RVRF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();