Embassy Bancorp (EMYB) Shares Outstanding (Entity) (2009 - 2026)
Embassy Bancorp (EMYB) reported Shares Outstanding (Entity) of 7.41 million for Q2 2026, down 3.1% from 7.65 million a year earlier and down 0.1% from the prior quarter.
Embassy Bancorp (EMYB) Shares Outstanding (Entity) (2009 - 2026) Analysis & Trends
For FY2025, Embassy Bancorp posted Shares Outstanding (Entity) of 7.55 million, down 1.0% from FY2024.
- Shares Outstanding (Entity) has a five-year compound annual growth rate of 0.0% (FY2020 to FY2025).
- By year, Shares Outstanding (Entity) came in at 7.63 million in FY2024 (+0.4%), 7.6 million in FY2023 (+0.1%), 7.59 million in FY2022 (+0.6%) and 7.54 million in FY2021 (+0.2%).
- The Q2 2026 figure ranks as the lowest quarterly Shares Outstanding (Entity) since Q3 2015.
- Year over year, Shares Outstanding (Entity) has now declined in each of the last three quarters, with an average decline of 0.7% over the last eight quarters.
- The high point for year-over-year Shares Outstanding (Entity) in five years was Q3 2023 (growth of 0.7%); the low point was Q2 2026 (a decline of 3.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at 7.41 million (Q1 2026), 7.55 million (Q4 2025) and 7.65 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - | 2.66 Bn |
| 2 | Banco Santander Chile | 407.42 Bn | -7,109.68 Bn | - | 12.56 Bn |
| 3 | Bank Of America | 353.20 Bn | -2,022.91 Bn | - | 6.92 Bn |
| 4 | Hsbc Holdings | 307.88 Bn | -2,967.28 Bn | - | - |
| 5 | Morgan Stanley | 298.41 Bn | -244.41 Bn | - | 1.57 Bn |
| 6 | Royal Bank Of Canada | 283.46 Bn | -546.54 Bn | - | - |
| 7 | Goldman Sachs | 264.45 Bn | -3,478.99 Bn | - | 288.60 Mn |
| 8 | Mitsubishi Ufj Financial | 259.19 Bn | -159.36 Bn | 5.24 Bn | - |
| 9 | Wells Fargo & Company | 258.28 Bn | 93.72 Bn | - | 3.00 Bn |
| 10 | Embassy Bancorp | 153.64 Mn | -858.34 Mn | - | 7.35 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 7.35 Mn |
| Jun 30, 2026 | 7.41 Mn |
| Mar 31, 2026 | 7.41 Mn |
| Dec 31, 2025 | 7.55 Mn |
| Sep 30, 2025 | 7.65 Mn |
| Jun 30, 2025 | 7.65 Mn |
| Mar 31, 2025 | 7.64 Mn |
| Dec 31, 2024 | 7.63 Mn |
| Sep 30, 2024 | 7.62 Mn |
| Jun 30, 2024 | 7.62 Mn |
| Mar 31, 2024 | 7.62 Mn |
| Dec 31, 2023 | 7.60 Mn |
| Sep 30, 2023 | 7.60 Mn |
| Jun 30, 2023 | 7.60 Mn |
| Mar 31, 2023 | 7.60 Mn |
| Dec 31, 2022 | 7.59 Mn |
| Sep 30, 2022 | 7.55 Mn |
| Jun 30, 2022 | 7.55 Mn |
| Mar 31, 2022 | 7.55 Mn |
| Dec 31, 2021 | 7.54 Mn |
Embassy Bancorp Shares Outstanding (Entity) 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=shares-outstanding-entity&ticker=EMYB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "ticker": "EMYB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=shares-outstanding-entity&ticker=EMYB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();