River Financial (RVRF) Cash Due from Bank (2014 - 2026)
River Financial (RVRF) posted Cash Due from Bank of $157.32 million for Q2 2026, down 22.8% from $203.81 million a year earlier and down 15.7% from the prior quarter.
River Financial (RVRF) Cash Due from Bank (2014 - 2026) Analysis & Trends
At the end of FY2025, River Financial's Cash Due from Bank came in at $128.52 million, down 30.8% from FY2024.
- Annual Cash Due from Bank shows a five-year compound annual growth rate of 16.4% (FY2020 to FY2025).
- In prior years, River Financial's Cash Due from Bank was $185.74 million in FY2024 (+156.0%), $72.55 million in FY2023 (-3.0%), $74.83 million in FY2022 (+20.8%) and $61.96 million in FY2021 (+2.8%).
- Quarterly Cash Due from Bank has run from a low of $36.9 million in Q3 2022 to a high of $244.04 million in Q3 2025 over five years.
- On a year-over-year basis, Cash Due from Bank increased in five of the last eight quarters, with growth averaging 21.6%.
- The strongest year-over-year quarter for Cash Due from Bank in the past five years was Q3 2023, with growth of 293.2%; the weakest was Q3 2022, with a decline of 48.3%.
- According to Business Quant data, Cash Due from Bank for the three prior quarters was $186.59 million (Q1 2026), $128.52 million (Q4 2025) and $244.04 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash Due from Bank (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 24.72 Bn |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 28.10 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 | - | 46.00 Bn |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | 505.89 Bn |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | - |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 42.16 Bn |
| 10 | River Financial | 365.57 Mn | 358.18 Mn | - | 157.32 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 157.32 Mn |
| Mar 31, 2026 | 186.59 Mn |
| Dec 31, 2025 | 128.52 Mn |
| Sep 30, 2025 | 244.04 Mn |
| Jun 30, 2025 | 203.81 Mn |
| Mar 31, 2025 | 184.86 Mn |
| Dec 31, 2024 | 185.74 Mn |
| Sep 30, 2024 | 147.10 Mn |
| Jun 30, 2024 | 176.52 Mn |
| Mar 31, 2024 | 213.93 Mn |
| Dec 31, 2023 | 72.55 Mn |
| Sep 30, 2023 | 145.10 Mn |
| Jun 30, 2023 | 105.72 Mn |
| Mar 31, 2023 | 120.75 Mn |
| Dec 31, 2022 | 74.83 Mn |
| Sep 30, 2022 | 36.90 Mn |
| Jun 30, 2022 | 53.55 Mn |
| Mar 31, 2022 | 87.08 Mn |
| Dec 31, 2021 | 61.96 Mn |
| Sep 30, 2021 | 71.42 Mn |
River Financial Cash Due from Bank 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=cash-due-from-bank&ticker=RVRF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-due-from-bank", "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=cash-due-from-bank&ticker=RVRF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();