Embassy Bancorp (EMYB) Pension (2011 - 2025)
Embassy Bancorp's Pension came in at $8.4 million for Q4 2025, up 3.7% from $8.1 million a year earlier.
Analysis
Embassy Bancorp (EMYB) Pension (2011 - 2025) Analysis & Trends
Going back to Q4 2011, Embassy Bancorp's Pension data covers 15 quarters.
- Pension has increased in each of the last 14 years, with a five-year compound annual growth rate of 7.0% (FY2020 to FY2025).
- Going back by year, Pension was $8.1 million in FY2024 (+3.8%), $7.8 million in FY2023 (+6.8%), $7.3 million in FY2022 (+9.0%) and $6.7 million in FY2021 (+11.7%).
- The Q4 2025 figure represents the highest quarterly Pension in data going back to Q4 2011.
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 |
|---|---|
| Dec 31, 2025 | 8.40 Mn |
| Dec 31, 2024 | 8.10 Mn |
| Dec 31, 2023 | 7.80 Mn |
| Dec 31, 2022 | 7.30 Mn |
| Dec 31, 2021 | 6.70 Mn |
| Dec 31, 2020 | 6.00 Mn |
| Dec 31, 2019 | 5.30 Mn |
| Dec 31, 2018 | 4.80 Mn |
| Dec 31, 2017 | 4.30 Mn |
| Dec 31, 2016 | 3.80 Mn |
| Dec 31, 2015 | 3.40 Mn |
| Dec 31, 2014 | 3.00 Mn |
| Dec 31, 2013 | 2.20 Mn |
| Dec 31, 2012 | 1.60 Mn |
| Dec 31, 2011 | 1.20 Mn |
API Access
Embassy Bancorp Pension 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=pension&ticker=EMYB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "pension", "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=pension&ticker=EMYB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();