Red River Bancshares (RRBI) Operating Expenses (2018 - 2026)
Red River Bancshares (RRBI) recorded Operating Expenses of $18.29 million in Q2 2026, up 5.3% from $17.37 million a year earlier and up 6.0% from the prior quarter.
Red River Bancshares (RRBI) Operating Expenses (2018 - 2026) Analysis & Trends
On a TTM basis, Red River Bancshares' Operating Expenses came in at $71.68 million as of Jun 30, 2026, up 6.1% year-over-year; for FY2025, it was $70.1 million, up 6.0% from FY2024.
- Annual Operating Expenses has increased for seven straight years, with a five-year compound annual growth rate of 6.4% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $66.15 million in FY2024 (+3.6%), $63.87 million in FY2023 (+8.9%), $58.66 million in FY2022 (+8.1%) and $54.26 million in FY2021 (+5.5%).
- The Q2 2026 figure is the highest quarterly Operating Expenses in data going back to Q1 2018.
- On a year-over-year basis, Operating Expenses has increased for 30 consecutive quarters, with growth averaging 5.2% over the last eight quarters.
- Across the past five years, year-over-year growth in Operating Expenses ran from 2.5% in Q1 2024 to 11.5% in Q2 2023.
- Per Business Quant, the preceding three quarters came in at $17.25 million (Q1 2026), $18.25 million (Q4 2025) and $17.89 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 27.30 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 19.72 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 8.82 Bn |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 13.71 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 7.02 Bn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 11.31 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 13.74 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 17.50 Bn |
| 10 | Red River Bancshares | 689.82 Mn | -146.48 Mn | - | 18.69 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 18.69 Mn |
| Jun 30, 2026 | 18.29 Mn |
| Mar 31, 2026 | 17.25 Mn |
| Dec 31, 2025 | 18.25 Mn |
| Sep 30, 2025 | 17.89 Mn |
| Jun 30, 2025 | 17.37 Mn |
| Mar 31, 2025 | 16.59 Mn |
| Dec 31, 2024 | 16.84 Mn |
| Sep 30, 2024 | 16.75 Mn |
| Jun 30, 2024 | 16.69 Mn |
| Mar 31, 2024 | 15.87 Mn |
| Dec 31, 2023 | 16.02 Mn |
| Sep 30, 2023 | 16.23 Mn |
| Jun 30, 2023 | 16.13 Mn |
| Mar 31, 2023 | 15.49 Mn |
| Dec 31, 2022 | 15.08 Mn |
| Sep 30, 2022 | 15.04 Mn |
| Jun 30, 2022 | 14.47 Mn |
| Mar 31, 2022 | 14.06 Mn |
| Dec 31, 2021 | 14.02 Mn |
Red River Bancshares 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=RRBI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "RRBI", "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=RRBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();