Magyar Bancorp (MGYR) EBITDA Margin (2009 - 2026)
Magyar Bancorp (MGYR) posted EBITDA Margin of 104.27% for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 7.46 percentage points from 111.73% a year earlier but up 1.15 percentage points from the prior quarter.
Magyar Bancorp (MGYR) EBITDA Margin (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA Margin at Magyar Bancorp was 105.97%, down 8.70 percentage points year-over-year; for FY2025 (ended Sep 30, 2025), it was 108.95%, down 0.74 percentage points from FY2024.
- Annual EBITDA Margin shows a five-year change of +67.98 percentage points (FY2020 to FY2025).
- In prior fiscal years, Magyar Bancorp's EBITDA Margin was 109.69% in FY2024 (+37.64 pp), 72.05% in FY2023 (+23.31 pp), 48.74% in FY2022 (+5.63 pp) and 43.11% in FY2021 (+2.14 pp).
- Quarterly EBITDA Margin has run from a low of 43.31% in fiscal Q4 2021 to a high of 134.09% in fiscal Q4 2024 over five years.
- On a year-over-year basis, EBITDA Margin increased in five of the last eight quarters, with an average year-over-year change of +4.94 percentage points.
- The strongest year-over-year quarter for EBITDA Margin in the past five years was fiscal Q4 2024, with a gain of 48.88 percentage points; the weakest was fiscal Q4 2025, with a drop of 25.06 percentage points.
- According to Business Quant data, EBITDA Margin for the three prior fiscal quarters was 103.12% (Q2 2026), 107.86% (Q1 2026) and 109.03% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - | 97.78% |
| 2 | Banco Santander Chile | 407.42 Bn | -7,109.68 Bn | - | - |
| 3 | Bank Of America | 353.20 Bn | -2,022.91 Bn | - | 91.48% |
| 4 | Hsbc Holdings | 307.88 Bn | -2,967.28 Bn | - | - |
| 5 | Morgan Stanley | 298.41 Bn | -244.41 Bn | - | 100.96% |
| 6 | Royal Bank Of Canada | 283.46 Bn | -546.54 Bn | - | 139.87% |
| 7 | Goldman Sachs | 264.45 Bn | -3,478.99 Bn | - | 142.21% |
| 8 | Mitsubishi Ufj Financial | 259.19 Bn | -159.36 Bn | 5.24 Bn | - |
| 9 | Wells Fargo & Company | 258.28 Bn | 93.72 Bn | - | 92.97% |
| 10 | Magyar Bancorp | 142.06 Mn | 142.06 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 104.27% |
| Mar 31, 2026 | 103.12% |
| Dec 31, 2025 | 107.86% |
| Sep 30, 2025 | 109.03% |
| Jun 30, 2025 | 111.73% |
| Mar 31, 2025 | 107.67% |
| Dec 31, 2024 | 107.39% |
| Sep 30, 2024 | 134.09% |
| Jun 30, 2024 | 110.64% |
| Mar 31, 2024 | 101.30% |
| Dec 31, 2023 | 87.64% |
| Sep 30, 2023 | 85.21% |
| Jun 30, 2023 | 77.30% |
| Mar 31, 2023 | 66.27% |
| Dec 31, 2022 | 58.87% |
| Sep 30, 2022 | 56.07% |
| Jun 30, 2022 | 48.76% |
| Mar 31, 2022 | 44.65% |
| Dec 31, 2021 | 44.38% |
| Sep 30, 2021 | 37.97% |
Magyar Bancorp EBITDA Margin 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=ebitda-margin&ticker=MGYR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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=ebitda-margin&ticker=MGYR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();