Burke & Herbert Financial Services (BHRB) Operating Expenses (2022 - 2026)
Burke & Herbert Financial Services (BHRB) reported Operating Expenses of $93.51 million for Q2 2026, up 89.6% from $49.31 million a year earlier and up 82.0% from the prior quarter.
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Analysis
Burke & Herbert Financial Services (BHRB) Operating Expenses (2022 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Burke & Herbert Financial Services' Operating Expenses came in at $241.48 million, up 14.3% year-over-year; for FY2025, it came in at $195.56 million, down 1.1% from FY2024.
- Operating Expenses has a four-year compound annual growth rate of 27.3% (FY2021 to FY2025).
- By year, Operating Expenses came in at $197.83 million in FY2024 (+128.9%), $86.44 million in FY2023 (+13.8%), $75.95 million in FY2022 (+2.1%) and $74.41 million in FY2021.
- The Q2 2026 figure ranks as the highest quarterly Operating Expenses in data going back to Q1 2022.
- Year over year, Operating Expenses gained in five of the last eight quarters, with growth averaging 60.0%.
- The high point for year-over-year Operating Expenses in five years was Q2 2024 (growth of 201.8%); the low point was Q2 2025 (a decline of 23.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $51.38 million (Q1 2026), $48.5 million (Q4 2025) and $48.09 million (Q3 2025).
Peer Set
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 | Burke & Herbert Financial Services | 1.38 Bn | 725.75 Mn | - | 93.51 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 93.51 Mn |
| Mar 31, 2026 | 51.38 Mn |
| Dec 31, 2025 | 48.50 Mn |
| Sep 30, 2025 | 48.09 Mn |
| Jun 30, 2025 | 49.31 Mn |
| Mar 31, 2025 | 49.66 Mn |
| Dec 31, 2024 | 61.41 Mn |
| Sep 30, 2024 | 50.83 Mn |
| Jun 30, 2024 | 64.43 Mn |
| Mar 31, 2024 | 21.17 Mn |
| Dec 31, 2023 | 22.30 Mn |
| Sep 30, 2023 | 22.42 Mn |
| Jun 30, 2023 | 21.35 Mn |
| Mar 31, 2023 | 20.37 Mn |
| Dec 31, 2022 | 16.46 Mn |
| Sep 30, 2022 | 19.95 Mn |
| Jun 30, 2022 | 20.37 Mn |
| Mar 31, 2022 | 19.17 Mn |
API Access
Burke & Herbert Financial Services 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=BHRB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "BHRB", "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=BHRB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();