Magyar Bancorp (MGYR) Price to Earnings (2010 - 2026)
Magyar Bancorp's (MGYR) Price to Earnings came in at 9.79 for fiscal Q4 2026 (quarter ended Sep 30, 2026), down 14.6% from 11.47 a year earlier but up 2.4% from the prior quarter.
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Analysis
Magyar Bancorp (MGYR) Price to Earnings (2010 - 2026) Analysis & Trends
For FY2026 (ended Sep 30, 2026), Magyar Bancorp's Price to Earnings stood at 9.83, down 14.3% from FY2025.
- In prior fiscal years, Magyar Bancorp's Price to Earnings was 11.47 in FY2025 (+11.3%), 10.30 in FY2024 (+16.1%), 8.87 in FY2023 (-16.2%) and 10.59 in FY2022 (-20.3%).
- Quarterly Price to Earnings has run from a low of 8.67 in fiscal Q3 2023 to a high of 13.46 in fiscal Q1 2022 over five years.
- On a year-over-year basis, Price to Earnings increased in five of the last eight quarters, with growth averaging 0.6%.
- The strongest year-over-year quarter for Price to Earnings in the past five years was fiscal Q1 2025, with growth of 16.3%; the weakest was fiscal Q2 2023, with a decline of 30.9%.
- According to Business Quant data, Price to Earnings for the three prior fiscal quarters was 9.56 (Q3 2026), 10.03 (Q2 2026) and 10.35 (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - |
| 2 | Banco Santander Chile | 407.42 Bn | -7,109.68 Bn | - |
| 3 | Bank Of America | 353.20 Bn | -2,022.91 Bn | - |
| 4 | Hsbc Holdings | 307.88 Bn | -2,967.28 Bn | - |
| 5 | Morgan Stanley | 298.41 Bn | -244.41 Bn | - |
| 6 | Royal Bank Of Canada | 283.46 Bn | -546.54 Bn | - |
| 7 | Goldman Sachs | 264.45 Bn | -3,478.99 Bn | - |
| 8 | Mitsubishi Ufj Financial | 259.19 Bn | -159.36 Bn | 5.24 Bn |
| 9 | Wells Fargo & Company | 258.28 Bn | 93.72 Bn | - |
| 10 | Magyar Bancorp | 142.06 Mn | 142.06 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 9.79 |
| Jun 30, 2026 | 9.56 |
| Mar 31, 2026 | 10.03 |
| Dec 31, 2025 | 10.35 |
| Sep 30, 2025 | 11.47 |
| Jun 30, 2025 | 11.00 |
| Mar 31, 2025 | 10.00 |
| Dec 31, 2024 | 11.51 |
| Sep 30, 2024 | 10.30 |
| Jun 30, 2024 | 9.97 |
| Mar 31, 2024 | 9.59 |
| Dec 31, 2023 | 9.90 |
| Sep 30, 2023 | 8.87 |
| Jun 30, 2023 | 8.67 |
| Mar 31, 2023 | 8.70 |
| Dec 31, 2022 | 10.76 |
| Sep 30, 2022 | 10.59 |
| Jun 30, 2022 | 11.85 |
| Mar 31, 2022 | 12.59 |
| Dec 31, 2021 | 13.46 |
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();