Riverview Bancorp (RVSB) Operating Expenses (2010 - 2026)
Riverview Bancorp's Operating Expenses came in at $12.89 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 9.9% from $11.72 million a year earlier and up 12.0% from the prior quarter.
Riverview Bancorp (RVSB) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Riverview Bancorp reported Operating Expenses of $48.83 million, up 8.5% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $47.66 million, up 7.7% from FY2025.
- Operating Expenses has increased in each of the last five fiscal years, with a five-year compound annual growth rate of 5.6% (FY2021 to FY2026).
- Going back by fiscal year, Operating Expenses was $44.26 million in FY2025 (+1.2%), $43.73 million in FY2024 (+11.1%), $39.37 million in FY2023 (+7.2%) and $36.72 million in FY2022 (+1.3%).
- The fiscal Q1 2027 figure represents the highest quarterly Operating Expenses since fiscal Q4 2024.
- Year-over-year, Operating Expenses has increased for five consecutive quarters, with growth averaging 5.0% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in fiscal Q4 2024 (growth of 31.7%), and the weakest in fiscal Q4 2025 (a decline of 12.7%).
- Business Quant data shows RVSB's Operating Expenses at $11.51 million (Q4 2026), $12.21 million (Q3 2026) and $12.23 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 27.32 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -3,218.32 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 18.63 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 13.90 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 7.02 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 17.50 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 11.67 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 13.66 Bn |
| 10 | Riverview Bancorp | 119.96 Mn | -160.57 Mn | - | 12.89 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.89 Mn |
| Mar 31, 2026 | 11.51 Mn |
| Dec 31, 2025 | 12.21 Mn |
| Sep 30, 2025 | 12.23 Mn |
| Jun 30, 2025 | 11.72 Mn |
| Mar 31, 2025 | 11.44 Mn |
| Dec 31, 2024 | 11.15 Mn |
| Sep 30, 2024 | 10.70 Mn |
| Jun 30, 2024 | 10.97 Mn |
| Mar 31, 2024 | 13.11 Mn |
| Dec 31, 2023 | 10.55 Mn |
| Sep 30, 2023 | 10.09 Mn |
| Jun 30, 2023 | 9.98 Mn |
| Mar 31, 2023 | 9.95 Mn |
| Dec 31, 2022 | 9.85 Mn |
| Sep 30, 2022 | 9.80 Mn |
| Jun 30, 2022 | 9.77 Mn |
| Mar 31, 2022 | 10.12 Mn |
| Dec 31, 2021 | 9.28 Mn |
| Sep 30, 2021 | 8.19 Mn |
Riverview Bancorp Operating Expenses 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=operating-expenses&ticker=RVSB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=RVSB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();