Embassy Bancorp (EMYB) Long-Term Debt Repayments (2010 - 2022)
Embassy Bancorp's Long-Term Debt Repayments came in at $14.65 million for FY2022.
Powered by 
Analysis
Embassy Bancorp (EMYB) Long-Term Debt Repayments (2010 - 2022) Analysis & Trends
Going back to FY2010, Embassy Bancorp's Long-Term Debt Repayments data covers 8 years.
- The FY2022 figure represents the highest annual Long-Term Debt Repayments in data going back to FY2010.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - | 25.27 Bn |
| 2 | Banco Santander Chile | 407.42 Bn | -7,109.68 Bn | - | - |
| 3 | Bank Of America | 353.20 Bn | -2,022.91 Bn | - | 31.73 Bn |
| 4 | Hsbc Holdings | 307.88 Bn | -2,967.28 Bn | - | - |
| 5 | Morgan Stanley | 298.41 Bn | -244.41 Bn | - | 33.18 Bn |
| 6 | Royal Bank Of Canada | 283.46 Bn | -546.54 Bn | - | - |
| 7 | Goldman Sachs | 264.45 Bn | -3,478.99 Bn | - | 16.57 Bn |
| 8 | Mitsubishi Ufj Financial | 259.19 Bn | -159.36 Bn | 5.24 Bn | - |
| 9 | Wells Fargo & Company | 258.28 Bn | 93.72 Bn | - | 3.97 Bn |
| 10 | Embassy Bancorp | 153.64 Mn | -858.34 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2022 | 14.65 Mn |
| Mar 31, 2016 | 3.82 Mn |
| Dec 31, 2015 | 1.22 Mn |
| Sep 30, 2015 | 1.86 Mn |
| Jun 30, 2015 | 500,000.00 |
| Mar 31, 2015 | 500,000.00 |
| Dec 31, 2014 | 750,000.00 |
| Sep 30, 2014 | 750,000.00 |
| Jun 30, 2014 | 250,000.00 |
| Mar 31, 2014 | 250,000.00 |
| Dec 31, 2013 | 200,000.00 |
| Sep 30, 2013 | 3.25 Mn |
| Jun 30, 2013 | 5.03 Mn |
| Mar 31, 2013 | 200,000.00 |
| Dec 31, 2012 | 200,000.00 |
| Sep 30, 2012 | 200,000.00 |
| Mar 31, 2012 | 100,000.00 |
| Dec 31, 2011 | 200,000.00 |
| Sep 30, 2011 | 200,000.00 |
| Dec 31, 2010 | 50,000.00 |
API Access
Embassy Bancorp Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=EMYB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=EMYB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();