River Financial (RVRF) EBITDA (2014 - 2026)
River Financial's EBITDA came in at $37.99 million for Q2 2026, up 7.7% from $35.29 million a year earlier and up 1.7% from the prior quarter.
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Analysis
River Financial (RVRF) EBITDA (2014 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, River Financial reported EBITDA of $143.84 million, up 10.3% year-over-year; for FY2025, it came in at $134.25 million, up 11.4% from FY2024.
- EBITDA has increased in each of the last ten years, with a five-year compound annual growth rate of 32.8% (FY2020 to FY2025).
- Going back by year, EBITDA was $120.53 million in FY2024 (+33.8%), $90.09 million in FY2023 (+84.8%), $48.76 million in FY2022 (+20.6%) and $40.43 million in FY2021 (+24.2%).
- The Q2 2026 figure represents the highest quarterly EBITDA in data going back to Q4 2014.
- Year-over-year, EBITDA has increased for 18 consecutive quarters, with growth averaging 17.1% over the last eight quarters.
- The fastest year-over-year change in EBITDA over five years came in Q3 2023 (growth of 104.1%), and the weakest in Q4 2021 (a decline of 6.4%).
- Business Quant data shows RVRF's EBITDA at $37.34 million (Q1 2026), $34.53 million (Q4 2025) and $33.98 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 54.95 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | -1,174.27 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 30.01 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 21.67 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 18.88 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 27.17 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 20.89 Bn |
| 10 | River Financial | 365.57 Mn | 358.18 Mn | - | 37.99 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 37.99 Mn |
| Mar 31, 2026 | 37.34 Mn |
| Dec 31, 2025 | 34.53 Mn |
| Sep 30, 2025 | 33.98 Mn |
| Jun 30, 2025 | 35.29 Mn |
| Mar 31, 2025 | 30.45 Mn |
| Dec 31, 2024 | 32.62 Mn |
| Sep 30, 2024 | 32.04 Mn |
| Jun 30, 2024 | 29.93 Mn |
| Mar 31, 2024 | 25.95 Mn |
| Dec 31, 2023 | 26.92 Mn |
| Sep 30, 2023 | 23.14 Mn |
| Jun 30, 2023 | 23.10 Mn |
| Mar 31, 2023 | 16.93 Mn |
| Dec 31, 2022 | 13.89 Mn |
| Sep 30, 2022 | 11.34 Mn |
| Jun 30, 2022 | 11.61 Mn |
| Mar 31, 2022 | 11.92 Mn |
| Dec 31, 2021 | 9.06 Mn |
| Sep 30, 2021 | 10.74 Mn |
API Access
River Financial EBITDA 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=ebitda&ticker=RVRF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=RVRF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();