Riverview Bancorp (RVSB) Cash & Equivalents (2011 - 2026)
Riverview Bancorp's Cash & Equivalents came in at $115.8 million for fiscal Q2 2027 (quarter ended Sep 30, 2026), up 253.0% from $32.81 million a year earlier and up 13.3% from the prior quarter.
Riverview Bancorp (RVSB) Cash & Equivalents (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Riverview Bancorp's Cash & Equivalents was $116.87 million, up 297.3% from FY2025.
- Cash & Equivalents has increased in each of the last three fiscal years, though with a five-year compound annual growth rate of -15.1% (FY2021 to FY2026).
- Going back by fiscal year, Cash & Equivalents was $29.41 million in FY2025 (+24.4%), $23.64 million in FY2024 (+7.2%), $22.04 million in FY2023 (-90.9%) and $241.42 million in FY2022 (-9.0%).
- The five-year range for quarterly Cash & Equivalents is $22.04 million (fiscal Q4 2023) to $241.42 million (fiscal Q4 2022).
- Year-over-year, Cash & Equivalents has increased for seven consecutive quarters, with growth averaging 97.9% over the last eight quarters.
- The fastest year-over-year change in Cash & Equivalents over five years came in fiscal Q4 2026 (growth of 297.3%), and the weakest in fiscal Q4 2023 (a decline of 90.9%).
- Business Quant data shows RVSB's Cash & Equivalents at $102.21 million (Q1 2027), $116.87 million (Q4 2026) and $28.64 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | - |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | 2.20 Bn |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 249.64 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 222.46 Bn |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 138.67 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 45.78 Bn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 176.77 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | - |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | Riverview Bancorp | 126.41 Mn | 126.41 Mn | - | 115.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 115.80 Mn |
| Jun 30, 2026 | 102.21 Mn |
| Mar 31, 2026 | 116.87 Mn |
| Dec 31, 2025 | 28.64 Mn |
| Sep 30, 2025 | 32.81 Mn |
| Jun 30, 2025 | 34.17 Mn |
| Mar 31, 2025 | 29.41 Mn |
| Dec 31, 2024 | 25.35 Mn |
| Sep 30, 2024 | 30.96 Mn |
| Jun 30, 2024 | 27.80 Mn |
| Mar 31, 2024 | 23.64 Mn |
| Dec 31, 2023 | 37.55 Mn |
| Sep 30, 2023 | 30.85 Mn |
| Jun 30, 2023 | 29.95 Mn |
| Mar 31, 2023 | 22.04 Mn |
| Dec 31, 2022 | 24.34 Mn |
| Sep 30, 2022 | 114.18 Mn |
| Jun 30, 2022 | 141.84 Mn |
| Mar 31, 2022 | 241.42 Mn |
| Dec 31, 2021 | 239.86 Mn |
Riverview Bancorp Cash & Equivalents 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=cash-and-equivalents&ticker=RVSB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "RVSB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=cash-and-equivalents&ticker=RVSB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();