Embassy Bancorp (EMYB) Weighted Average Shares Outstanding (2009 - 2026)
Embassy Bancorp's Weighted Average Shares Outstanding came in at 7.41 million for Q2 2026, down 3.0% from 7.64 million a year earlier and down 1.6% from the prior quarter.
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Analysis
Embassy Bancorp (EMYB) Weighted Average Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2025, Embassy Bancorp's Weighted Average Shares Outstanding was 7.63 million, up 0.2% from FY2024.
- Weighted Average Shares Outstanding has increased in each of the last three years, with a five-year compound annual growth rate of 0.3% (FY2020 to FY2025).
- Going back by year, Weighted Average Shares Outstanding was 7.61 million in FY2024 (+0.2%), 7.6 million in FY2023 (+0.6%), 7.55 million in FY2022 (unchanged) and 7.55 million in FY2021 (+0.4%).
- The Q2 2026 figure represents the lowest quarterly Weighted Average Shares Outstanding since Q4 2015.
- Year-over-year, Weighted Average Shares Outstanding increased in six of the last eight quarters, with an average decline of 0.3%.
- The fastest year-over-year change in Weighted Average Shares Outstanding over five years came in Q3 2023 (growth of 0.7%), and the weakest in Q2 2026 (a decline of 3.0%).
- Business Quant data shows EMYB's Weighted Average Shares Outstanding at 7.54 million (Q1 2026), 7.63 million (Q4 2025) and 7.65 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - |
| 2 | Banco Santander Chile | 407.42 Bn | -7,109.68 Bn | - |
| 3 | Bank Of America | 353.20 Bn | -2,022.91 Bn | - |
| 4 | Hsbc Holdings | 307.88 Bn | -2,967.28 Bn | - |
| 5 | Morgan Stanley | 298.41 Bn | -244.41 Bn | - |
| 6 | Royal Bank Of Canada | 283.46 Bn | -546.54 Bn | - |
| 7 | Goldman Sachs | 264.45 Bn | -3,478.99 Bn | - |
| 8 | Mitsubishi Ufj Financial | 259.19 Bn | -159.36 Bn | 5.24 Bn |
| 9 | Wells Fargo & Company | 258.28 Bn | 93.72 Bn | - |
| 10 | Embassy Bancorp | 153.64 Mn | -858.34 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 7.38 Mn |
| Jun 30, 2026 | 7.41 Mn |
| Mar 31, 2026 | 7.54 Mn |
| Dec 31, 2025 | 7.63 Mn |
| Sep 30, 2025 | 7.65 Mn |
| Jun 30, 2025 | 7.64 Mn |
| Mar 31, 2025 | 7.64 Mn |
| Dec 31, 2024 | 7.61 Mn |
| Sep 30, 2024 | 7.62 Mn |
| Jun 30, 2024 | 7.62 Mn |
| Mar 31, 2024 | 7.60 Mn |
| Dec 31, 2023 | 7.60 Mn |
| Sep 30, 2023 | 7.60 Mn |
| Jun 30, 2023 | 7.60 Mn |
| Mar 31, 2023 | 7.59 Mn |
| Dec 31, 2022 | 7.55 Mn |
| Sep 30, 2022 | 7.55 Mn |
| Jun 30, 2022 | 7.55 Mn |
| Mar 31, 2022 | 7.55 Mn |
| Dec 31, 2021 | 7.55 Mn |
API Access
Embassy Bancorp Weighted Average Shares Outstanding 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=weighted-average-shares-outstanding&ticker=EMYB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "weighted-average-shares-outstanding", "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=weighted-average-shares-outstanding&ticker=EMYB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();