River Financial (RVRF) Retained Earnings (2014 - 2026)
River Financial (RVRF) reported Retained Earnings of $209.9 million for Q2 2026, up 24.8% from $168.17 million a year earlier and up 7.1% from the prior quarter.
River Financial (RVRF) Retained Earnings (2014 - 2026) Analysis & Trends
At the end of FY2025, River Financial posted Retained Earnings of $189.73 million, up 25.0% from FY2024.
- Retained Earnings has increased for 11 consecutive years, with a five-year compound annual growth rate of 28.9% (FY2020 to FY2025).
- By year, Retained Earnings came in at $151.82 million in FY2024 (+22.1%), $124.33 million in FY2023 (+23.3%), $100.83 million in FY2022 (+33.0%) and $75.82 million in FY2021 (+42.0%).
- The Q2 2026 figure ranks as the highest quarterly Retained Earnings in data going back to Q4 2014.
- Year over year, Retained Earnings has now increased in each of the last 40 quarters, with growth averaging 24.3% over the last eight quarters.
- Over the past five years, the year-over-year growth in Retained Earnings ranged from 21.4% (Q2 2024) to 47.7% (Q3 2021).
- Per Business Quant data, the three quarters before Q2 2026 came in at $196.05 million (Q1 2026), $189.73 million (Q4 2025) and $178.85 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 445.02 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | 661.60 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 274.52 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | 21.39 Bn |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 122.77 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 74.21 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | 102.78 Bn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 174.35 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 237.23 Bn |
| 10 | River Financial | 365.57 Mn | 358.18 Mn | - | 209.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 209.90 Mn |
| Mar 31, 2026 | 196.05 Mn |
| Dec 31, 2025 | 189.73 Mn |
| Sep 30, 2025 | 178.85 Mn |
| Jun 30, 2025 | 168.17 Mn |
| Mar 31, 2025 | 156.08 Mn |
| Dec 31, 2024 | 151.82 Mn |
| Sep 30, 2024 | 142.61 Mn |
| Jun 30, 2024 | 133.95 Mn |
| Mar 31, 2024 | 126.31 Mn |
| Dec 31, 2023 | 124.33 Mn |
| Sep 30, 2023 | 116.22 Mn |
| Jun 30, 2023 | 110.34 Mn |
| Mar 31, 2023 | 102.70 Mn |
| Dec 31, 2022 | 100.83 Mn |
| Sep 30, 2022 | 95.03 Mn |
| Jun 30, 2022 | 88.16 Mn |
| Mar 31, 2022 | 80.65 Mn |
| Dec 31, 2021 | 75.82 Mn |
| Sep 30, 2021 | 70.43 Mn |
River Financial 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=RVRF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=RVRF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();