River Financial (RVRF) Rent Expense (2014 - 2026)
River Financial's Rent Expense was $1.21 million in Q2 2026, up 16.7% from $1.04 million a year earlier but down 0.2% from the prior quarter.
River Financial (RVRF) Rent Expense (2014 - 2026) Analysis & Trends
On a trailing twelve-month basis, River Financial's Rent Expense was $4.7 million through Jun 30, 2026, up 14.9% year-over-year; for FY2025, it was $4.34 million, up 9.0% from FY2024.
- Rent Expense has now increased for eight consecutive years, with a five-year compound annual growth rate of 13.3% (FY2020 to FY2025).
- In earlier years, Rent Expense was $3.98 million in FY2024 (+4.8%), $3.8 million in FY2023 (+28.9%), $2.95 million in FY2022 (+21.3%) and $2.43 million in FY2021 (+4.3%).
- Quarterly Rent Expense has moved between $598,000 (Q3 2021) and $1.21 million (Q1 2026) over five years.
- Compared with a year earlier, Rent Expense has increased for six straight quarters, with growth averaging 9.8% over the last eight quarters.
- The best year-over-year quarter for Rent Expense over five years was Q2 2023 (growth of 42.9%); the worst was Q4 2024 (a decline of 1.7%).
- Per Business Quant data, RVRF's Rent Expense in the three quarters before Q2 2026 was $1.21 million (Q1 2026), $1.18 million (Q4 2025) and $1.1 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Rental Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 1.48 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | - |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 1.91 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 482.00 Mn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 316.29 Mn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 244.00 Mn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 803.00 Mn |
| 10 | River Financial | 365.57 Mn | 358.18 Mn | - | 1.21 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.21 Mn |
| Mar 31, 2026 | 1.21 Mn |
| Dec 31, 2025 | 1.18 Mn |
| Sep 30, 2025 | 1.10 Mn |
| Jun 30, 2025 | 1.04 Mn |
| Mar 31, 2025 | 1.02 Mn |
| Dec 31, 2024 | 1.01 Mn |
| Sep 30, 2024 | 1.02 Mn |
| Jun 30, 2024 | 965,000.00 |
| Mar 31, 2024 | 981,000.00 |
| Dec 31, 2023 | 1.03 Mn |
| Sep 30, 2023 | 934,000.00 |
| Jun 30, 2023 | 922,000.00 |
| Mar 31, 2023 | 908,000.00 |
| Dec 31, 2022 | 892,000.00 |
| Sep 30, 2022 | 764,000.00 |
| Jun 30, 2022 | 645,000.00 |
| Mar 31, 2022 | 645,000.00 |
| Dec 31, 2021 | 652,000.00 |
| Sep 30, 2021 | 598,000.00 |
River Financial Rent Expense 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=rent-expense&ticker=RVRF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "rent-expense", "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=rent-expense&ticker=RVRF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();