Magyar Bancorp (MGYR) Net Long-Term Debt Issued (Repaid) (2009 - 2025)
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Analysis
Magyar Bancorp (MGYR) Net Long-Term Debt Issued (Repaid) (2009 - 2025) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - | 8.51 Bn |
| 2 | Banco Santander Chile | 407.42 Bn | -7,109.68 Bn | - | - |
| 3 | Bank Of America | 353.20 Bn | -2,022.91 Bn | - | -11.99 Bn |
| 4 | Hsbc Holdings | 307.88 Bn | -2,967.28 Bn | - | - |
| 5 | Morgan Stanley | 298.41 Bn | -244.41 Bn | - | 6.33 Bn |
| 6 | Royal Bank Of Canada | 283.46 Bn | -546.54 Bn | - | - |
| 7 | Goldman Sachs | 264.45 Bn | -3,478.99 Bn | - | 22.36 Bn |
| 8 | Mitsubishi Ufj Financial | 259.19 Bn | -159.36 Bn | 5.24 Bn | - |
| 9 | Wells Fargo & Company | 258.28 Bn | 93.72 Bn | - | 7.07 Bn |
| 10 | Magyar Bancorp | 142.06 Mn | 142.06 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 13.00 Mn |
| Mar 31, 2025 | 5.00 Mn |
| Dec 31, 2024 | 1.86 Mn |
| Jun 30, 2024 | -228,000.00 |
| Dec 31, 2023 | -719,000.00 |
| Sep 30, 2023 | -19,000.00 |
| Jun 30, 2023 | 4.00 Mn |
| Mar 31, 2023 | 10.00 Mn |
| Dec 31, 2022 | 3.00 Mn |
| Sep 30, 2022 | -2.66 Mn |
| Jun 30, 2022 | -3.87 Mn |
| Mar 31, 2022 | -2.21 Mn |
| Dec 31, 2021 | -2.00 Mn |
| Sep 30, 2021 | -7.95 Mn |
| Jun 30, 2021 | -14.58 Mn |
| Mar 31, 2021 | -14.38 Mn |
| Dec 31, 2020 | -7.15 Mn |
| Sep 30, 2020 | 469,000.00 |
| Jun 30, 2020 | 35.86 Mn |
| Mar 31, 2020 | -13.40 Mn |
API Access
Magyar Bancorp Net Long-Term Debt Issued (Repaid) 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=net-long-term-debt-issued-repaid&ticker=MGYR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-long-term-debt-issued-repaid", "ticker": "MGYR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=net-long-term-debt-issued-repaid&ticker=MGYR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();