Magyar Bancorp (MGYR) Price to Earnings (2010 - 2026)
Magyar Bancorp's (MGYR) quarterly Price to Earnings came in at 36.43 in Q2 2026, down 16.32% on a YoY basis from 43.54 in Q2 2025, and down 1.43% quarter-over-quarter from 36.96 in Q1 2026.
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Analysis
Magyar Bancorp (MGYR) Price to Earnings (2010 - 2026) Analysis & Trends
Magyar Bancorp (MGYR) has reported Price to Earnings for 12 consecutive years, with 36.43 the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Price to Earnings fell 16.32% year-over-year to 36.43; the trailing twelve-month figure through Jun 2026 stood at 9.85 (down 11.37% YoY), and the FY2025 full-year result was 12.09, up 14.15% from the prior year.
- Price to Earnings declined to 36.43 in Q2 2026 per MGYR's latest filing, from 36.96 in the prior quarter.
- Across five years, Price to Earnings topped out at 51.41 in Q3 2025 and bottomed at 32.91 in Q3 2024.
- Historically, Price to Earnings has averaged 40.8 across 5 years, with a median of 39.61 in 2022.
- The sharpest annual moves came in 2022 and 2025: Price to Earnings slumped 31.65% in 2022, then jumped 56.21% in 2025.
- Over 5 years, Price to Earnings stood at 47.76 in 2022, then decreased by 5.32% to 45.22 in 2023, then climbed by 0.34% to 45.37 in 2024, then fell by 21.33% to 35.7 in 2025, then rose by 2.06% to 36.43 in 2026.
- According to Business Quant data, Price to Earnings over the past three periods registered 36.43, 36.96, and 35.7 for Q2 2026, Q1 2026, and Q4 2025 respectively.
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 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 36.43 |
| Mar 31, 2026 | 36.96 |
| Dec 31, 2025 | 35.70 |
| Sep 30, 2025 | 51.41 |
| Jun 30, 2025 | 43.54 |
| Mar 31, 2025 | 33.56 |
| Dec 31, 2024 | 45.37 |
| Sep 30, 2024 | 32.91 |
| Jun 30, 2024 | 43.79 |
| Mar 31, 2024 | 38.70 |
| Dec 31, 2023 | 45.22 |
| Sep 30, 2023 | 43.57 |
| Jun 30, 2023 | 35.95 |
| Mar 31, 2023 | 39.48 |
| Dec 31, 2022 | 47.76 |
| Sep 30, 2022 | 34.50 |
| Jun 30, 2022 | 39.73 |
| Mar 31, 2022 | 49.88 |
| Dec 31, 2021 | 51.46 |
| Sep 30, 2021 | 50.48 |
API Access
Magyar Bancorp Price to Earnings 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=price-to-earnings&ticker=MGYR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=MGYR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();