River Financial (RVRF) Shares Outstanding (Diluted) (2014 - 2026)
River Financial (RVRF) recorded Shares Outstanding (Diluted) of 7.95 million in Q2 2026, up 1.4% from 7.83 million a year earlier and up 0.6% from the prior quarter.
River Financial (RVRF) Shares Outstanding (Diluted) (2014 - 2026) Analysis & Trends
For FY2025, River Financial reported Shares Outstanding (Diluted) of 7.83 million, up 1.3% from FY2024.
- Annual Shares Outstanding (Diluted) has increased for 11 straight years, with a five-year compound annual growth rate of 3.6% (FY2020 to FY2025).
- Across earlier years, Shares Outstanding (Diluted) came in at 7.73 million in FY2024 (+9.4%), 7.06 million in FY2023 (+4.7%), 6.75 million in FY2022 (+2.1%) and 6.61 million in FY2021 (+0.6%).
- The Q2 2026 figure is the highest quarterly Shares Outstanding (Diluted) in data going back to Q3 2014.
- On a year-over-year basis, Shares Outstanding (Diluted) has increased for 44 consecutive quarters, with growth averaging 3.5% over the last eight quarters.
- The year-over-year growth in Shares Outstanding (Diluted) has ranged between 0.4% (Q2 2023) and 14.5% (Q1 2024) over the last five years.
- Per Business Quant, the preceding three quarters came in at 7.9 million (Q1 2026), 7.83 million (Q4 2025) and 7.84 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 2.69 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | 26.92 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 7.29 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | 3.51 Bn |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 1.57 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 1.41 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 11.40 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 304.90 Mn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 3.07 Bn |
| 10 | River Financial | 365.57 Mn | 358.18 Mn | - | 7.95 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.95 Mn |
| Mar 31, 2026 | 7.90 Mn |
| Dec 31, 2025 | 7.83 Mn |
| Sep 30, 2025 | 7.84 Mn |
| Jun 30, 2025 | 7.83 Mn |
| Mar 31, 2025 | 7.81 Mn |
| Dec 31, 2024 | 7.73 Mn |
| Sep 30, 2024 | 7.74 Mn |
| Jun 30, 2024 | 7.73 Mn |
| Mar 31, 2024 | 7.74 Mn |
| Dec 31, 2023 | 7.06 Mn |
| Sep 30, 2023 | 6.97 Mn |
| Jun 30, 2023 | 6.77 Mn |
| Mar 31, 2023 | 6.76 Mn |
| Dec 31, 2022 | 6.75 Mn |
| Sep 30, 2022 | 6.78 Mn |
| Jun 30, 2022 | 6.74 Mn |
| Mar 31, 2022 | 6.72 Mn |
| Dec 31, 2021 | 6.61 Mn |
| Sep 30, 2021 | 6.63 Mn |
River Financial Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=RVRF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=RVRF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();