Shore Bancshares (SHBI) Cash & Equivalents (2013 - 2026)
Shore Bancshares (SHBI) recorded Cash & Equivalents of $257.67 million in Q2 2026, up 39.3% from $184.98 million a year earlier but down 24.4% from the prior quarter.
Shore Bancshares (SHBI) Cash & Equivalents (2013 - 2026) Analysis & Trends
At the end of FY2025, Shore Bancshares reported Cash & Equivalents of $355.57 million, down 22.7% from FY2024.
- Annual Cash & Equivalents has a five-year compound annual growth rate of 13.7% (FY2020 to FY2025).
- Across earlier years, Cash & Equivalents came in at $459.85 million in FY2024 (+23.5%), $372.41 million in FY2023 (+571.0%), $55.5 million in FY2022 (-90.5%) and $583.61 million in FY2021 (+212.2%).
- Quarterly Cash & Equivalents has ranged from $37.71 million in Q1 2023 to $583.61 million in Q4 2021 over the past five years.
- On a year-over-year basis, Cash & Equivalents rose in six of the last eight quarters, with growth averaging 62.0%.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 571.0% in Q4 2023, against a decline of 93.4% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $340.82 million (Q1 2026), $355.57 million (Q4 2025) and $416.51 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | - |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 229.75 Bn |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | 29.08 Bn |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | 160.14 Bn |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | 46.00 Bn |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | 187.27 Bn |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | - |
| 10 | Shore Bancshares | 768.58 Mn | -602.00 Mn | - | 257.67 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 257.67 Mn |
| Mar 31, 2026 | 340.82 Mn |
| Dec 31, 2025 | 355.57 Mn |
| Sep 30, 2025 | 416.51 Mn |
| Jun 30, 2025 | 184.98 Mn |
| Mar 31, 2025 | 389.01 Mn |
| Dec 31, 2024 | 459.85 Mn |
| Sep 30, 2024 | 183.62 Mn |
| Jun 30, 2024 | 138.88 Mn |
| Mar 31, 2024 | 114.56 Mn |
| Dec 31, 2023 | 372.41 Mn |
| Sep 30, 2023 | 108.71 Mn |
| Jun 30, 2023 | 45.83 Mn |
| Mar 31, 2023 | 37.71 Mn |
| Dec 31, 2022 | 55.50 Mn |
| Sep 30, 2022 | 163.31 Mn |
| Jun 30, 2022 | 403.01 Mn |
| Mar 31, 2022 | 570.98 Mn |
| Dec 31, 2021 | 583.61 Mn |
| Sep 30, 2021 | 310.85 Mn |
Shore Bancshares Cash & Equivalents 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=cash-and-equivalents&ticker=SHBI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=SHBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();