River Financial (RVRF) Enterprise Value (2018 - 2026)
River Financial (RVRF) recorded Enterprise Value of $379.08 million in Q2 2026, up 47.3% from $257.35 million a year earlier but down 3.8% from the prior quarter.
River Financial (RVRF) Enterprise Value (2018 - 2026) Analysis & Trends
On a TTM basis, River Financial's Enterprise Value came in at $367.79 million as of Jun 30, 2026, up 51.1% year-over-year; for FY2025, it came in at $311.98 million, up 31.9% from FY2024.
- Annual Enterprise Value has increased for five straight years, with a five-year compound annual growth rate of 18.9% (FY2020 to FY2025).
- Across earlier years, Enterprise Value came in at $236.58 million in FY2024 (+1.4%), $233.39 million in FY2023 (+4.2%), $223.89 million in FY2022 (+27.5%) and $175.62 million in FY2021 (+33.9%).
- Quarterly Enterprise Value has ranged from $174.31 million in Q3 2021 to $393.91 million in Q1 2026 over the past five years.
- On a year-over-year basis, Enterprise Value has increased for seven consecutive quarters, with growth averaging 22.0% over the last eight quarters.
- Peak year-over-year performance for Enterprise Value in the last five years was growth of 64.0% in Q1 2026, against a decline of 27.1% in Q2 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $393.91 million (Q1 2026), $311.98 million (Q4 2025) and $271.27 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn |
| 10 | River Financial | 390.81 Mn | -204.52 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 221.76 Mn |
| Mar 31, 2026 | 207.32 Mn |
| Dec 31, 2025 | 311.98 Mn |
| Sep 30, 2025 | 27.22 Mn |
| Jun 30, 2025 | 53.54 Mn |
| Mar 31, 2025 | 55.36 Mn |
| Dec 31, 2024 | 236.58 Mn |
| Sep 30, 2024 | 83.98 Mn |
| Jun 30, 2024 | 50.79 Mn |
| Mar 31, 2024 | 16.26 Mn |
| Dec 31, 2023 | 233.39 Mn |
| Sep 30, 2023 | 93.91 Mn |
| Jun 30, 2023 | 94.77 Mn |
| Mar 31, 2023 | 106.15 Mn |
| Dec 31, 2022 | 223.89 Mn |
| Sep 30, 2022 | 190.14 Mn |
| Jun 30, 2022 | 160.27 Mn |
| Mar 31, 2022 | 131.48 Mn |
| Dec 31, 2021 | 175.62 Mn |
| Sep 30, 2021 | 102.89 Mn |
River Financial Enterprise Value 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=enterprise-value&ticker=RVRF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=RVRF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();