Magyar Bancorp (MGYR) Accumulated Expenses (2010 - 2026)
Magyar Bancorp's (MGYR) quarterly Accumulated Expenses came in at $1.5 million in Q2 2026, up 98.26% on a YoY basis from $748000.0 in Q2 2025, and up 25.36% quarter-over-quarter from $1.2 million in Q1 2026.
Magyar Bancorp (MGYR) Accumulated Expenses (2010 - 2026) Analysis & Trends
Magyar Bancorp (MGYR) has reported Accumulated Expenses for 16 consecutive years, with $1.5 million the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Accumulated Expenses rose 98.26% year-over-year to $1.5 million; the trailing twelve-month figure through Jun 2026 stood at $1.5 million (up 98.26% YoY), and the FY2025 full-year result was $969000.0, up 8.75% from the prior year.
- Accumulated Expenses climbed to $1.5 million in Q2 2026 per MGYR's latest filing, from $1.2 million in the prior quarter.
- Across five years, Accumulated Expenses topped out at $1.5 million in Q2 2026 and bottomed at $56000.0 in Q2 2022.
- Historically, Accumulated Expenses has averaged $633166.7 across 5 years, with a median of $711500.0 in 2024.
- The sharpest annual moves came in 2022 and 2023: Accumulated Expenses slumped 53.8% in 2022, then soared 421.18% in 2023.
- Over 5 years, Accumulated Expenses stood at $162000.0 in 2022, then jumped by 304.94% to $656000.0 in 2023, then climbed by 20.27% to $789000.0 in 2024, then jumped by 44.74% to $1.1 million in 2025, then increased by 29.86% to $1.5 million in 2026.
- According to Business Quant data, Accumulated Expenses over the past three periods registered $1.5 million, $1.2 million, and $1.1 million for Q2 2026, Q1 2026, and Q4 2025 respectively.
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 | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.48 Mn |
| Mar 31, 2026 | 1.18 Mn |
| Dec 31, 2025 | 1.14 Mn |
| Sep 30, 2025 | 969,000.00 |
| Jun 30, 2025 | 748,000.00 |
| Mar 31, 2025 | 734,000.00 |
| Dec 31, 2024 | 789,000.00 |
| Sep 30, 2024 | 891,000.00 |
| Jun 30, 2024 | 845,000.00 |
| Mar 31, 2024 | 689,000.00 |
| Dec 31, 2023 | 656,000.00 |
| Sep 30, 2023 | 443,000.00 |
| Jun 30, 2023 | 213,000.00 |
| Mar 31, 2023 | 236,000.00 |
| Dec 31, 2022 | 162,000.00 |
| Sep 30, 2022 | 85,000.00 |
| Jun 30, 2022 | 56,000.00 |
| Mar 31, 2022 | 73,000.00 |
| Dec 31, 2021 | 81,000.00 |
| Sep 30, 2021 | 85,000.00 |
Magyar Bancorp 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=accumulated-expenses&ticker=MGYR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=accumulated-expenses&ticker=MGYR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();