Shore Bancshares (SHBI) Retained Earnings (2011 - 2026)
Shore Bancshares' Retained Earnings was $260.78 million in Q2 2026, up 23.4% from $211.4 million a year earlier and up 5.7% from the prior quarter.
Shore Bancshares (SHBI) Retained Earnings (2011 - 2026) Analysis & Trends
At the end of FY2025, Retained Earnings at Shore Bancshares came in at $233.58 million, up 22.8% from FY2024.
- Retained Earnings shows a five-year compound annual growth rate of 10.6% (FY2020 to FY2025).
- In earlier years, Retained Earnings was $190.17 million in FY2024 (+17.2%), $162.29 million in FY2023 (-5.4%), $171.61 million in FY2022 (+14.4%) and $149.97 million in FY2021 (+6.2%).
- The Q2 2026 figure marks the highest quarterly Retained Earnings in data going back to Q4 2011.
- Compared with a year earlier, Retained Earnings has increased for nine straight quarters, with growth averaging 20.9% over the last eight quarters.
- The best year-over-year quarter for Retained Earnings over five years was Q1 2026 (growth of 23.4%); the worst was Q3 2023 (a decline of 5.9%).
- Per Business Quant data, SHBI's Retained Earnings in the three quarters before Q2 2026 was $246.64 million (Q1 2026), $233.58 million (Q4 2025) and $221.69 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 445.02 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | 661.60 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 274.52 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | 21.39 Bn |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 122.77 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 74.21 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 102.78 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 174.35 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 237.23 Bn |
| 10 | Shore Bancshares | 748.19 Mn | -622.38 Mn | - | 260.78 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 260.78 Mn |
| Mar 31, 2026 | 246.64 Mn |
| Dec 31, 2025 | 233.58 Mn |
| Sep 30, 2025 | 221.69 Mn |
| Jun 30, 2025 | 211.40 Mn |
| Mar 31, 2025 | 199.90 Mn |
| Dec 31, 2024 | 190.17 Mn |
| Sep 30, 2024 | 180.88 Mn |
| Jun 30, 2024 | 173.72 Mn |
| Mar 31, 2024 | 166.49 Mn |
| Dec 31, 2023 | 162.29 Mn |
| Sep 30, 2023 | 155.78 Mn |
| Jun 30, 2023 | 169.49 Mn |
| Mar 31, 2023 | 167.86 Mn |
| Dec 31, 2022 | 171.61 Mn |
| Sep 30, 2022 | 165.59 Mn |
| Jun 30, 2022 | 158.32 Mn |
| Mar 31, 2022 | 153.20 Mn |
| Dec 31, 2021 | 149.97 Mn |
| Sep 30, 2021 | 149.62 Mn |
Shore Bancshares 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=SHBI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "ticker": "SHBI", "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=SHBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();