Burke & Herbert Financial Services (BHRB) Operating Expenses (2022 - 2026)
Burke & Herbert Financial Services (BHRB) reported Operating Expenses of $74.48 million for Q3 2026, up 54.9% from $48.09 million a year earlier but down 20.4% from the prior quarter.
Burke & Herbert Financial Services (BHRB) Operating Expenses (2022 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Burke & Herbert Financial Services' Operating Expenses came in at $267.86 million, up 28.5% 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.
- Five-year quarterly Operating Expenses spans a low of $16.46 million in Q4 2022 and a high of $93.51 million in Q2 2026.
- Year over year, Operating Expenses has now increased in each of the last three quarters, with growth averaging 51.0% over the last eight quarters.
- 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 Q3 2026 came in at $93.51 million (Q2 2026), $51.38 million (Q1 2026) and $48.5 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - | 27.30 Bn |
| 2 | Banco Santander Chile | 407.42 Bn | -7,109.68 Bn | - | - |
| 3 | Bank Of America | 353.20 Bn | -2,022.91 Bn | - | 19.72 Bn |
| 4 | Hsbc Holdings | 307.88 Bn | -2,967.28 Bn | - | 8.82 Bn |
| 5 | Morgan Stanley | 298.41 Bn | -244.41 Bn | - | 13.71 Bn |
| 6 | Royal Bank Of Canada | 283.46 Bn | -546.54 Bn | - | 7.02 Bn |
| 7 | Goldman Sachs | 264.45 Bn | -3,478.99 Bn | - | 11.31 Bn |
| 8 | Mitsubishi Ufj Financial | 259.19 Bn | -159.36 Bn | 5.24 Bn | 2.13 Bn |
| 9 | Wells Fargo & Company | 258.28 Bn | 93.72 Bn | - | 13.74 Bn |
| 10 | Burke & Herbert Financial Services | 1.44 Bn | 769.34 Mn | - | 74.48 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 74.48 Mn |
| 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 |
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_KEY
import 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();