Magyar Bancorp (MGYR) Consolidated Net Income (2010 - 2026)
Magyar Bancorp (MGYR) reported Consolidated Net Income of $3.09 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 25.2% from $2.47 million a year earlier and up 2.1% from the prior quarter.
Magyar Bancorp (MGYR) Consolidated Net Income (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Magyar Bancorp's Consolidated Net Income came in at $11.78 million, up 20.5% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $9.76 million, up 25.4% from FY2024.
- Consolidated Net Income has a five-year compound annual growth rate of 34.8% (FY2020 to FY2025).
- By fiscal year, Consolidated Net Income came in at $7.78 million in FY2024 (+1.0%), $7.71 million in FY2023 (-2.7%), $7.92 million in FY2022 (+29.4%) and $6.12 million in FY2021 (+179.5%).
- Five-year quarterly Consolidated Net Income spans a low of $1.61 million in fiscal Q4 2021 and a high of $3.14 million in fiscal Q1 2026.
- Year over year, Consolidated Net Income has now increased in each of the last three quarters, with growth averaging 27.2% over the last eight quarters.
- The high point for year-over-year Consolidated Net Income in five years was fiscal Q4 2021 (growth of 95.6%); the low point was fiscal Q3 2024 (a decline of 11.8%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $3.03 million (Q2 2026), $3.14 million (Q1 2026) and $2.53 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Consol Net Inc. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 881.30 Bn | 881.30 Bn | - | 21.16 Bn |
| 2 | Bank Of America | 354.90 Bn | -2,021.17 Bn | - | 9.07 Bn |
| 3 | Hsbc Holdings | 311.39 Bn | -1,517.77 Bn | - | 7.93 Bn |
| 4 | Morgan Stanley | 282.15 Bn | -226.95 Bn | - | 5.65 Bn |
| 5 | Royal Bank Of Canada | 281.68 Bn | -548.32 Bn | - | 4.32 Bn |
| 6 | Goldman Sachs | 255.22 Bn | -3,301.89 Bn | - | 6.63 Bn |
| 7 | Mitsubishi Ufj Financial | 249.82 Bn | -82.42 Bn | 10.89 Bn | 5.31 Bn |
| 8 | Wells Fargo & Company | 249.49 Bn | 251.62 Bn | - | 6.65 Bn |
| 9 | Toronto Dominion Bank | 210.53 Bn | -465.35 Bn | - | 3.31 Bn |
| 10 | Magyar Bancorp | 128.50 Mn | 28.19 Mn | - | 3.09 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.09 Mn |
| Mar 31, 2026 | 3.03 Mn |
| Dec 31, 2025 | 3.14 Mn |
| Sep 30, 2025 | 2.53 Mn |
| Jun 30, 2025 | 2.47 Mn |
| Mar 31, 2025 | 2.68 Mn |
| Dec 31, 2024 | 2.09 Mn |
| Sep 30, 2024 | 2.54 Mn |
| Jun 30, 2024 | 1.69 Mn |
| Mar 31, 2024 | 1.90 Mn |
| Dec 31, 2023 | 1.65 Mn |
| Sep 30, 2023 | 2.19 Mn |
| Jun 30, 2023 | 1.92 Mn |
| Mar 31, 2023 | 1.80 Mn |
| Dec 31, 2022 | 1.81 Mn |
| Sep 30, 2022 | 2.43 Mn |
| Jun 30, 2022 | 2.12 Mn |
| Mar 31, 2022 | 1.68 Mn |
| Dec 31, 2021 | 1.69 Mn |
| Sep 30, 2021 | 1.61 Mn |
Magyar Bancorp Consolidated Net Income 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=consolidated-net-income&ticker=MGYR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "consolidated-net-income", "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=consolidated-net-income&ticker=MGYR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();