River Financial (RVRF) Provisions (2014 - 2026)
River Financial (RVRF) recorded Provisions of $2.01 million in Q2 2026, up 19.4% from $1.69 million a year earlier and unchanged from the prior quarter.
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Analysis
River Financial (RVRF) Provisions (2014 - 2026) Analysis & Trends
On a TTM basis, River Financial's Provisions came in at $7.9 million as of Jun 30, 2026, up 21.1% year-over-year; for FY2025, it was $7.24 million, up 25.2% from FY2024.
- Annual Provisions has increased for three straight years, though with a five-year compound annual growth rate of -3.4% (FY2020 to FY2025).
- Across earlier years, Provisions came in at $5.79 million in FY2024 (+10.4%), $5.24 million in FY2023 (+36.6%), $3.84 million in FY2022 (-19.1%) and $4.74 million in FY2021 (-44.9%).
- Quarterly Provisions has ranged from -$354,000 in Q1 2022 to $2.19 million in Q4 2025 over the past five years.
- On a year-over-year basis, Provisions has increased for nine consecutive quarters, with growth averaging 22.8% over the last eight quarters.
- Peak year-over-year performance for Provisions in the last five years was growth of 45.2% in Q4 2021, against a decline of 59.3% in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $2.01 million (Q1 2026), $2.19 million (Q4 2025) and $1.69 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provisions (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 2.52 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | - |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 1.38 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 110.00 Mn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 717.20 Mn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | -647.66 Mn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 124.00 Mn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 914.00 Mn |
| 10 | River Financial | 365.57 Mn | 358.18 Mn | - | 2.01 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.01 Mn |
| Mar 31, 2026 | 2.01 Mn |
| Dec 31, 2025 | 2.19 Mn |
| Sep 30, 2025 | 1.69 Mn |
| Jun 30, 2025 | 1.69 Mn |
| Mar 31, 2025 | 1.69 Mn |
| Dec 31, 2024 | 1.83 Mn |
| Sep 30, 2024 | 1.33 Mn |
| Jun 30, 2024 | 1.33 Mn |
| Mar 31, 2024 | 1.31 Mn |
| Dec 31, 2023 | 1.31 Mn |
| Sep 30, 2023 | 1.31 Mn |
| Jun 30, 2023 | 1.31 Mn |
| Mar 31, 2023 | 1.31 Mn |
| Dec 31, 2022 | 1.58 Mn |
| Sep 30, 2022 | 1.33 Mn |
| Jun 30, 2022 | 930,000.00 |
| Mar 31, 2022 | -354,000.00 |
| Dec 31, 2021 | 1.19 Mn |
| Sep 30, 2021 | 1.19 Mn |
API Access
River Financial Provisions 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=provisions&ticker=RVRF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provisions", "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=provisions&ticker=RVRF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();