Magyar Bancorp (MGYR) EBIT (2010 - 2026)
Magyar Bancorp's EBIT came in at $10.19 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 9.7% from $9.28 million a year earlier and up 2.0% from the prior quarter.
Magyar Bancorp (MGYR) EBIT (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Magyar Bancorp reported EBIT of $39.71 million, up 7.5% year-over-year; for FY2025 (ended Sep 30, 2025), it was $36.62 million, up 15.5% from FY2024.
- EBIT has increased in each of the last five fiscal years, with a five-year compound annual growth rate of 33.5% (FY2020 to FY2025).
- Going back by fiscal year, EBIT was $31.7 million in FY2024 (+50.4%), $21.08 million in FY2023 (+54.4%), $13.65 million in FY2022 (+17.0%) and $11.67 million in FY2021 (+35.3%).
- The fiscal Q3 2026 figure represents the highest quarterly EBIT in data going back to fiscal Q3 2010.
- Year-over-year, EBIT has increased for three consecutive quarters, with growth averaging 19.6% over the last eight quarters.
- The fastest year-over-year change in EBIT over five years came in fiscal Q2 2023 (growth of 66.3%), and the weakest in fiscal Q4 2025 (a decline of 3.2%).
- Business Quant data shows MGYR's EBIT at $9.99 million (Q2 2026), $9.98 million (Q1 2026) and $9.56 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 881.30 Bn | 881.30 Bn | - | 52.63 Bn |
| 2 | Bank Of America | 354.90 Bn | -2,021.17 Bn | - | 29.40 Bn |
| 3 | Hsbc Holdings | 311.39 Bn | -1,517.77 Bn | - | 9.36 Bn |
| 4 | Morgan Stanley | 282.15 Bn | -226.95 Bn | - | 20.47 Bn |
| 5 | Royal Bank Of Canada | 281.68 Bn | -548.32 Bn | - | 18.35 Bn |
| 6 | Goldman Sachs | 255.22 Bn | -3,301.89 Bn | - | 26.66 Bn |
| 7 | Mitsubishi Ufj Financial | 249.82 Bn | -82.42 Bn | 10.89 Bn | 5.11 Bn |
| 8 | Wells Fargo & Company | 249.49 Bn | 251.62 Bn | - | 19.01 Bn |
| 9 | Toronto Dominion Bank | 210.53 Bn | -465.35 Bn | - | 757.36 Mn |
| 10 | Magyar Bancorp | 128.50 Mn | 28.19 Mn | - | 10.19 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.19 Mn |
| Mar 31, 2026 | 9.99 Mn |
| Dec 31, 2025 | 9.98 Mn |
| Sep 30, 2025 | 9.56 Mn |
| Jun 30, 2025 | 9.28 Mn |
| Mar 31, 2025 | 9.42 Mn |
| Dec 31, 2024 | 8.35 Mn |
| Sep 30, 2024 | 9.88 Mn |
| Jun 30, 2024 | 7.74 Mn |
| Mar 31, 2024 | 7.42 Mn |
| Dec 31, 2023 | 6.67 Mn |
| Sep 30, 2023 | 6.47 Mn |
| Jun 30, 2023 | 5.59 Mn |
| Mar 31, 2023 | 4.81 Mn |
| Dec 31, 2022 | 4.20 Mn |
| Sep 30, 2022 | 4.31 Mn |
| Jun 30, 2022 | 3.52 Mn |
| Mar 31, 2022 | 2.90 Mn |
| Dec 31, 2021 | 2.94 Mn |
| Sep 30, 2021 | 2.92 Mn |
Magyar Bancorp EBIT 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=ebit&ticker=MGYR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=MGYR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();