Burke & Herbert Financial Services (BHRB) Retained Earnings (2022 - 2026)
Burke & Herbert Financial Services (BHRB) posted Retained Earnings of $558.79 million for Q3 2026, up 12.8% from $495.4 million a year earlier and up 4.7% from the prior quarter.
Burke & Herbert Financial Services (BHRB) Retained Earnings (2022 - 2026) Analysis & Trends
At the end of FY2025, Burke & Herbert Financial Services' Retained Earnings came in at $517.06 million, up 19.1% from FY2024.
- Annual Retained Earnings has increased for three consecutive years, with a three-year compound annual growth rate of 6.8% (FY2022 to FY2025).
- In prior years, Burke & Herbert Financial Services' Retained Earnings was $434.11 million in FY2024 (+1.6%), $427.33 million in FY2023 (+0.7%) and $424.39 million in FY2022.
- The Q3 2026 figure stands as the highest quarterly Retained Earnings in data going back to Q4 2022.
- On a year-over-year basis, Retained Earnings has increased in each of the last eight quarters, with growth averaging 13.1% over the last eight quarters.
- The strongest year-over-year quarter for Retained Earnings in the past five years was Q4 2025, with growth of 19.1%; the weakest was Q2 2024, with a decline of 5.4%.
- According to Business Quant data, Retained Earnings for the three prior quarters was $533.86 million (Q2 2026), $535.8 million (Q1 2026) and $517.06 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - | 455.59 Bn |
| 2 | Banco Santander Chile | 407.42 Bn | -7,109.68 Bn | - | 735.16 Mn |
| 3 | Bank Of America | 353.20 Bn | -2,022.91 Bn | - | 278.81 Bn |
| 4 | Hsbc Holdings | 307.88 Bn | -2,967.28 Bn | - | - |
| 5 | Morgan Stanley | 298.41 Bn | -244.41 Bn | - | 125.72 Bn |
| 6 | Royal Bank Of Canada | 283.46 Bn | -546.54 Bn | - | 73.85 Bn |
| 7 | Goldman Sachs | 264.45 Bn | -3,478.99 Bn | - | 177.98 Bn |
| 8 | Mitsubishi Ufj Financial | 259.19 Bn | -159.36 Bn | 5.24 Bn | 8.95 Bn |
| 9 | Wells Fargo & Company | 258.28 Bn | 93.72 Bn | - | 241.40 Bn |
| 10 | Burke & Herbert Financial Services | 1.44 Bn | 769.34 Mn | - | 558.79 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 558.79 Mn |
| Jun 30, 2026 | 533.86 Mn |
| Mar 31, 2026 | 535.80 Mn |
| Dec 31, 2025 | 517.06 Mn |
| Sep 30, 2025 | 495.40 Mn |
| Jun 30, 2025 | 474.02 Mn |
| Mar 31, 2025 | 452.74 Mn |
| Dec 31, 2024 | 434.11 Mn |
| Sep 30, 2024 | 422.84 Mn |
| Jun 30, 2024 | 403.42 Mn |
| Mar 31, 2024 | 428.53 Mn |
| Dec 31, 2023 | 427.33 Mn |
| Sep 30, 2023 | 426.74 Mn |
| Jun 30, 2023 | 426.63 Mn |
| Mar 31, 2023 | 424.53 Mn |
| Dec 31, 2022 | 424.39 Mn |
Burke & Herbert Financial Services Retained Earnings 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=retained-earnings&ticker=BHRB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=BHRB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();