Magyar Bancorp (MGYR) Market Capitalization (2009 - 2026)
Magyar Bancorp's Market Capitalization was $123.01 million in fiscal Q4 2026 (quarter ended Sep 30, 2026), up 9.9% from $111.91 million a year earlier and up 9.2% from the prior quarter.
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Analysis
Magyar Bancorp (MGYR) Market Capitalization (2009 - 2026) Analysis & Trends
For FY2026 (ended Sep 30, 2026), Market Capitalization at Magyar Bancorp came in at $123.44 million, up 10.3% from FY2025.
- Market Capitalization has now increased for three consecutive fiscal years, with a five-year compound annual growth rate of 8.7% (FY2021 to FY2026).
- In earlier fiscal years, Market Capitalization was $111.91 million in FY2025 (+39.5%), $80.2 million in FY2024 (+17.2%), $68.41 million in FY2023 (-18.4%) and $83.84 million in FY2022 (+3.2%).
- The fiscal Q4 2026 figure marks the highest quarterly Market Capitalization in data going back to fiscal Q4 2010.
- Compared with a year earlier, Market Capitalization has increased for 11 straight quarters, with growth averaging 23.9% over the last eight quarters.
- The best year-over-year quarter for Market Capitalization over five years was fiscal Q1 2022 (growth of 89.9%); the worst was fiscal Q4 2023 (a decline of 18.4%).
- Per Business Quant data, MGYR's Market Capitalization in the three fiscal quarters before Q4 2026 was $112.68 million (Q3 2026), $111.98 million (Q2 2026) and $111.94 million (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 | 123.01 Mn |
| Jun 30, 2026 | 112.68 Mn |
| Mar 31, 2026 | 111.98 Mn |
| Dec 31, 2025 | 111.94 Mn |
| Sep 30, 2025 | 111.91 Mn |
| Jun 30, 2025 | 107.54 Mn |
| Mar 31, 2025 | 89.99 Mn |
| Dec 31, 2024 | 94.60 Mn |
| Sep 30, 2024 | 80.20 Mn |
| Jun 30, 2024 | 74.06 Mn |
| Mar 31, 2024 | 73.42 Mn |
| Dec 31, 2023 | 74.74 Mn |
| Sep 30, 2023 | 68.41 Mn |
| Jun 30, 2023 | 68.95 Mn |
| Mar 31, 2023 | 70.91 Mn |
| Dec 31, 2022 | 86.44 Mn |
| Sep 30, 2022 | 83.84 Mn |
| Jun 30, 2022 | 84.11 Mn |
| Mar 31, 2022 | 83.75 Mn |
| Dec 31, 2021 | 87.16 Mn |
API Access
Magyar Bancorp Market Capitalization 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=market-capitalization&ticker=MGYR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "market-capitalization", "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=market-capitalization&ticker=MGYR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();