Magyar Bancorp (MGYR) Other Non-Interest Expense (2009 - 2025)
Powered by 
Analysis
Magyar Bancorp (MGYR) Other Non-Interest Expense (2009 - 2025) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Non-Int. Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - | -4.05 Bn |
| 2 | Banco Santander Chile | 407.42 Bn | -7,109.68 Bn | - | - |
| 3 | Bank Of America | 353.20 Bn | -2,022.91 Bn | - | 3.50 Bn |
| 4 | Hsbc Holdings | 307.88 Bn | -2,967.28 Bn | - | 5.25 Bn |
| 5 | Morgan Stanley | 298.41 Bn | -244.41 Bn | - | 2.86 Bn |
| 6 | Royal Bank Of Canada | 283.46 Bn | -546.54 Bn | - | 672.02 Mn |
| 7 | Goldman Sachs | 264.45 Bn | -3,478.99 Bn | - | 4.84 Bn |
| 8 | Mitsubishi Ufj Financial | 259.19 Bn | -159.36 Bn | 5.24 Bn | - |
| 9 | Wells Fargo & Company | 258.28 Bn | 93.72 Bn | - | 2.69 Bn |
| 10 | Magyar Bancorp | 142.06 Mn | 142.06 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2025 | -4.60 Mn |
| Dec 31, 2024 | -4.60 Mn |
| Sep 30, 2024 | -7.99 Mn |
| Jun 30, 2024 | 615,000.00 |
| Mar 31, 2024 | -4.34 Mn |
| Dec 31, 2023 | -4.20 Mn |
| Sep 30, 2023 | -4.82 Mn |
| Jun 30, 2023 | 3.22 Mn |
| Mar 31, 2023 | 3.02 Mn |
| Dec 31, 2022 | 2.91 Mn |
| Sep 30, 2022 | 10.99 Mn |
| Jun 30, 2022 | 449,000.00 |
| Mar 31, 2022 | 508,000.00 |
| Dec 31, 2021 | 477,000.00 |
| Sep 30, 2021 | 472,000.00 |
| Jun 30, 2021 | 517,000.00 |
| Mar 31, 2021 | 520,000.00 |
| Dec 31, 2020 | 618,000.00 |
| Sep 30, 2020 | 520,000.00 |
| Jun 30, 2020 | 790,000.00 |
API Access
Magyar Bancorp Other Non-Interest Expense 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=other-non-interest-expense&ticker=MGYR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-interest-expense", "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=other-non-interest-expense&ticker=MGYR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();