Republic Bancorp (RBCAA) Operating Expenses (2010 - 2026)
Republic Bancorp's Operating Expenses came in at $53.56 million for Q2 2026, up 3.7% from $51.63 million a year earlier but down 3.0% from the prior quarter.
Republic Bancorp (RBCAA) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Republic Bancorp reported Operating Expenses of $219.16 million, up 3.4% year-over-year; for FY2025, it came in at $220.19 million, up 8.6% from FY2024.
- Operating Expenses has increased in each of the last four years, with a five-year compound annual growth rate of 3.5% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $202.73 million in FY2024 (+1.7%), $199.4 million in FY2023 (+6.5%), $187.31 million in FY2022 (+2.3%) and $183.07 million in FY2021 (-1.3%).
- The five-year range for quarterly Operating Expenses is $233,000 (Q1 2023) to $58.21 million (Q1 2025).
- Year-over-year, Operating Expenses increased in seven of the last eight quarters, with growth averaging 5.9%.
- The fastest year-over-year change in Operating Expenses over five years came in Q1 2025 (growth of 14.2%), and the weakest in Q4 2021 (a decline of 6.5%).
- Business Quant data shows RBCAA's Operating Expenses at $55.25 million (Q1 2026), $56.6 million (Q4 2025) and $53.75 million (Q3 2025) in the three quarters before Q2 2026.
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 | Republic Bancorp | 1.60 Bn | -56.26 Mn | - | 53.56 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 53.56 Mn |
| Mar 31, 2026 | 55.25 Mn |
| Dec 31, 2025 | 56.60 Mn |
| Sep 30, 2025 | 53.75 Mn |
| Jun 30, 2025 | 51.63 Mn |
| Mar 31, 2025 | 58.21 Mn |
| Dec 31, 2024 | 53.51 Mn |
| Sep 30, 2024 | 48.61 Mn |
| Jun 30, 2024 | 49.63 Mn |
| Mar 31, 2024 | 50.97 Mn |
| Dec 31, 2023 | 47.05 Mn |
| Sep 30, 2023 | 48.37 Mn |
| Jun 30, 2023 | 51.53 Mn |
| Mar 14, 2023 | 233,000.00 |
| Dec 31, 2022 | 44.91 Mn |
| Sep 30, 2022 | 46.17 Mn |
| Jun 30, 2022 | 47.66 Mn |
| Mar 31, 2022 | 48.58 Mn |
| Dec 31, 2021 | 45.03 Mn |
| Sep 30, 2021 | 44.44 Mn |
Republic 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=RBCAA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "RBCAA", "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=RBCAA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();