Magyar Bancorp (MGYR) Operating Expenses (2010 - 2026)
Magyar Bancorp's (MGYR) quarterly Operating Expenses came in at $994000.0 in Q2 2026, up 8.04% on a YoY basis from $920000.0 in Q2 2025, and down 1.09% quarter-over-quarter from $1.0 million in Q1 2026.
Magyar Bancorp (MGYR) Operating Expenses (2010 - 2026) Analysis & Trends
Magyar Bancorp (MGYR) has reported Operating Expenses for 12 consecutive years, with $994000.0 the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Operating Expenses rose 8.04% year-over-year to $994000.0; the trailing twelve-month figure through Jun 2026 stood at $3.9 million (up 291.33% YoY), and the FY2025 full-year result was $3.9 million, down 66.73% from the prior year.
- Operating Expenses fell to $994000.0 in Q2 2026 per MGYR's latest filing, from $1.0 million in the prior quarter.
- Across five years, Operating Expenses topped out at $5.1 million in Q2 2024 and bottomed at -$3.4 million in Q3 2024.
- Historically, Operating Expenses has averaged $1.8 million across 5 years, with a median of $985000.0 in 2025.
- The sharpest annual moves came in 2023 and 2026: Operating Expenses tumbled 166.62% in 2023, then surged 407.58% in 2026.
- Over 5 years, Operating Expenses stood at $4.6 million in 2022, then slumped by 95.11% to $224000.0 in 2023, then dropped by 10.27% to $201000.0 in 2024, then surged by 385.57% to $976000.0 in 2025, then climbed by 1.84% to $994000.0 in 2026.
- According to Business Quant data, Operating Expenses over the past three periods registered $994000.0, $1.0 million, and $976000.0 for Q2 2026, Q1 2026, and Q4 2025 respectively.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Banco Santander Chile | 424.88 Bn | 544.83 Bn | - | -259.95 Bn |
| 2 | Truist Financial | 59.29 Bn | 59.29 Bn | - | 3.06 Bn |
| 3 | Fifth Third Bancorp | 47.98 Bn | 24.26 Bn | - | 2.11 Bn |
| 4 | M&T Bank | 32.82 Bn | 32.82 Bn | - | 1.35 Bn |
| 5 | Huntington Bancshares | 32.08 Bn | 27.60 Bn | - | 1.81 Bn |
| 6 | Citizens Financial | 28.34 Bn | 28.34 Bn | - | 1.39 Bn |
| 7 | Regions Financial | 24.27 Bn | 24.34 Bn | - | 1.12 Bn |
| 8 | Keycorp | 22.19 Bn | -25.51 Bn | - | 1.22 Bn |
| 9 | First Citizens Bancshares | 21.93 Bn | 21.41 Bn | 29.00 Mn | 1.55 Bn |
| 10 | Magyar Bancorp | 125.27 Mn | 113.80 Mn | - | 994,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 994,000.00 |
| Mar 31, 2026 | 1.01 Mn |
| Dec 31, 2025 | 976,000.00 |
| Sep 30, 2025 | 932,000.00 |
| Jun 30, 2025 | 920,000.00 |
| Mar 31, 2025 | 198,000.00 |
| Dec 31, 2024 | 201,000.00 |
| Sep 30, 2024 | -3.36 Mn |
| Jun 30, 2024 | 5.06 Mn |
| Mar 31, 2024 | 207,000.00 |
| Dec 31, 2023 | 224,000.00 |
| Sep 30, 2023 | -3.13 Mn |
| Jun 30, 2023 | 4.89 Mn |
| Mar 31, 2023 | 4.80 Mn |
| Dec 31, 2022 | 4.58 Mn |
| Sep 30, 2022 | 4.70 Mn |
| Jun 30, 2022 | 4.43 Mn |
| Mar 31, 2022 | 4.51 Mn |
| Dec 31, 2021 | 4.62 Mn |
| Sep 30, 2021 | 4.64 Mn |
Magyar Bancorp Operating 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=operating-expenses&ticker=MGYR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=MGYR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();