Blue Ridge Bankshares (BRBS) Operating Expenses (2018 - 2026)
Blue Ridge Bankshares (BRBS) reported Operating Expenses of $15.89 million for Q2 2026, down 27.8% from $22.01 million a year earlier and down 15.2% from the prior quarter.
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Analysis
Blue Ridge Bankshares (BRBS) Operating Expenses (2018 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Blue Ridge Bankshares' Operating Expenses came in at $71.59 million, down 26.2% year-over-year; for FY2025, it was $81.92 million, down 28.0% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 4.0% (FY2020 to FY2025).
- By year, Operating Expenses came in at $113.84 million in FY2024 (-27.9%), $157.94 million in FY2023 (+50.7%), $104.78 million in FY2022 (-5.6%) and $110.99 million in FY2021 (+65.1%).
- The Q2 2026 figure ranks as the lowest quarterly Operating Expenses since Q2 2020.
- Year over year, Operating Expenses has now declined in each of the last nine quarters, with an average decline of 29.2% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q3 2023 (growth of 121.2%); the low point was Q3 2024 (a decline of 59.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $18.74 million (Q1 2026), $16.92 million (Q4 2025) and $20.04 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | 27.32 Bn |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | -3,218.32 Bn |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | 18.63 Bn |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | 13.90 Bn |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 7.02 Bn |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn | 17.50 Bn |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - | 11.67 Bn |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | 13.66 Bn |
| 10 | Blue Ridge Bankshares | 344.28 Mn | 344.28 Mn | - | 15.89 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.89 Mn |
| Mar 31, 2026 | 18.74 Mn |
| Dec 31, 2025 | 16.92 Mn |
| Sep 30, 2025 | 20.04 Mn |
| Jun 30, 2025 | 22.01 Mn |
| Mar 31, 2025 | 22.95 Mn |
| Dec 31, 2024 | 25.64 Mn |
| Sep 30, 2024 | 26.45 Mn |
| Jun 30, 2024 | 29.31 Mn |
| Mar 31, 2024 | 32.44 Mn |
| Dec 31, 2023 | 30.42 Mn |
| Sep 30, 2023 | 64.62 Mn |
| Jun 30, 2023 | 34.05 Mn |
| Mar 31, 2023 | 28.85 Mn |
| Dec 31, 2022 | 27.55 Mn |
| Sep 30, 2022 | 29.21 Mn |
| Jun 30, 2022 | 25.33 Mn |
| Mar 31, 2022 | 22.69 Mn |
| Dec 31, 2021 | 25.14 Mn |
| Sep 30, 2021 | 25.34 Mn |
API Access
Blue Ridge Bankshares 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=BRBS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "BRBS", "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=BRBS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();