Magyar Bancorp (MGYR) Other Accumulated Expenses (2022 - 2023)
Magyar Bancorp's (MGYR) quarterly Other Accumulated Expenses came in at $828000.0 in Q3 2023, up 31.43% on a YoY basis from $630000.0 in Q3 2022, and up 31.43% quarter-over-quarter from $630000.0 in Q3 2022.
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Magyar Bancorp (MGYR) Other Accumulated Expenses (2022 - 2023) Analysis & Trends
Magyar Bancorp (MGYR) has reported Other Accumulated Expenses for 2 consecutive years, with $828000.0 the latest figure, recorded in Q3 2023.
- For the quarter ending Q3 2023, Other Accumulated Expenses rose 31.43% year-over-year to $828000.0; the trailing twelve-month figure through Sep 2023 stood at $828000.0 (up 31.43% YoY), and the FY2023 full-year result was $828000.0, up 31.43% from the prior year.
- Other Accumulated Expenses grew to $828000.0 in Q3 2023 per MGYR's latest filing, from $630000.0 in the prior quarter.
- Across five years, Other Accumulated Expenses topped out at $828000.0 in Q3 2023 and bottomed at $630000.0 in Q3 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Banco Santander Chile | 424.88 Bn | 544.83 Bn | - |
| 2 | Truist Financial | 59.29 Bn | 59.29 Bn | - |
| 3 | Fifth Third Bancorp | 47.98 Bn | 24.26 Bn | - |
| 4 | M&T Bank | 32.82 Bn | 32.82 Bn | - |
| 5 | Huntington Bancshares | 32.08 Bn | 27.60 Bn | - |
| 6 | Citizens Financial | 28.34 Bn | 28.34 Bn | - |
| 7 | Regions Financial | 24.27 Bn | 24.34 Bn | - |
| 8 | Keycorp | 22.19 Bn | -25.51 Bn | - |
| 9 | First Citizens Bancshares | 21.93 Bn | 21.41 Bn | 29.00 Mn |
| 10 | Magyar Bancorp | 125.27 Mn | 113.80 Mn | - |
API Access
Magyar Bancorp Other Accumulated Expenses 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-accumulated-expenses&ticker=MGYR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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-accumulated-expenses&ticker=MGYR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();