River Financial (RVRF) Property, Plant & Equipment (Net) (2014 - 2026)
River Financial's Property, Plant & Equipment (Net) came in at $52.7 million for Q2 2026, up 14.8% from $45.92 million a year earlier and up 1.2% from the prior quarter.
River Financial (RVRF) Property, Plant & Equipment (Net) (2014 - 2026) Analysis & Trends
At the end of FY2025, River Financial's Property, Plant & Equipment (Net) was $50.82 million, up 11.3% from FY2024.
- Property, Plant & Equipment (Net) has increased in each of the last 11 years, with a five-year compound annual growth rate of 9.4% (FY2020 to FY2025).
- Going back by year, Property, Plant & Equipment (Net) was $45.66 million in FY2024 (+1.0%), $45.22 million in FY2023 (+12.4%), $40.21 million in FY2022 (+9.6%) and $36.7 million in FY2021 (+12.9%).
- The Q2 2026 figure represents the highest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2014.
- Year-over-year, Property, Plant & Equipment (Net) has increased for seven consecutive quarters, with growth averaging 5.9% over the last eight quarters.
- The fastest year-over-year change in Property, Plant & Equipment (Net) over five years came in Q3 2023 (growth of 15.1%), and the weakest in Q3 2024 (a decline of 2.1%).
- Business Quant data shows RVRF's Property, Plant & Equipment (Net) at $52.06 million (Q1 2026), $50.82 million (Q4 2025) and $47.42 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 37.70 Bn |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | 29.00 Bn |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 12.79 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 | - | 4.98 Bn |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | 8.96 Bn |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | - |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 11.63 Bn |
| 10 | River Financial | 365.57 Mn | 358.18 Mn | - | 52.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 52.70 Mn |
| Mar 31, 2026 | 52.06 Mn |
| Dec 31, 2025 | 50.82 Mn |
| Sep 30, 2025 | 47.42 Mn |
| Jun 30, 2025 | 45.92 Mn |
| Mar 31, 2025 | 45.61 Mn |
| Dec 31, 2024 | 45.66 Mn |
| Sep 30, 2024 | 44.79 Mn |
| Jun 30, 2024 | 44.95 Mn |
| Mar 31, 2024 | 45.54 Mn |
| Dec 31, 2023 | 45.22 Mn |
| Sep 30, 2023 | 45.76 Mn |
| Jun 30, 2023 | 42.73 Mn |
| Mar 31, 2023 | 41.06 Mn |
| Dec 31, 2022 | 40.21 Mn |
| Sep 30, 2022 | 39.75 Mn |
| Jun 30, 2022 | 38.66 Mn |
| Mar 31, 2022 | 37.88 Mn |
| Dec 31, 2021 | 36.70 Mn |
| Sep 30, 2021 | 35.61 Mn |
River Financial Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=RVRF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=RVRF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();