Embassy Bancorp (EMYB) Cash & Current Investments (2009 - 2026)
Analysis
Embassy Bancorp (EMYB) Cash & Current Investments (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Current Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - | 6.63 Bn |
| 2 | Banco Santander Chile | 407.42 Bn | -7,109.68 Bn | - | 5.13 Bn |
| 3 | Bank Of America | 353.20 Bn | -2,022.91 Bn | - | 582.12 Bn |
| 4 | Hsbc Holdings | 307.88 Bn | -2,967.28 Bn | - | 837.60 Bn |
| 5 | Morgan Stanley | 298.41 Bn | -244.41 Bn | - | 138.67 Bn |
| 6 | Royal Bank Of Canada | 283.46 Bn | -546.54 Bn | - | 225.78 Bn |
| 7 | Goldman Sachs | 264.45 Bn | -3,478.99 Bn | - | 1,008.50 Bn |
| 8 | Mitsubishi Ufj Financial | 259.19 Bn | -159.36 Bn | 5.24 Bn | 108.15 Bn |
| 9 | Wells Fargo & Company | 258.28 Bn | 93.72 Bn | - | 42.25 Bn |
| 10 | Embassy Bancorp | 153.64 Mn | -858.34 Mn | - | 624.35 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 624.35 Mn |
| Jun 30, 2026 | 132.94 Mn |
| Mar 31, 2026 | 141.83 Mn |
| Dec 31, 2025 | 112.86 Mn |
| Sep 30, 2025 | 108.00 Mn |
| Jun 30, 2025 | 91.82 Mn |
| Mar 31, 2025 | 97.90 Mn |
| Dec 31, 2024 | 96.52 Mn |
| Sep 30, 2024 | 91.91 Mn |
| Jun 30, 2024 | 135.89 Mn |
| Mar 31, 2024 | 59.51 Mn |
| Dec 31, 2023 | 78.92 Mn |
| Sep 30, 2023 | 77.66 Mn |
| Jun 30, 2023 | 74.74 Mn |
| Mar 31, 2023 | 75.11 Mn |
| Dec 31, 2022 | 67.30 Mn |
| Sep 30, 2022 | 72.20 Mn |
| Jun 30, 2022 | 132.89 Mn |
| Mar 31, 2022 | 150.27 Mn |
| Dec 31, 2021 | 169.69 Mn |
API Access
Embassy Bancorp Cash & Current Investments 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-current-investments&ticker=EMYB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-current-investments", "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=cash-and-current-investments&ticker=EMYB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();