Magyar Bancorp (MGYR) Return on Assets [ROA] (2009 - 2026)
Magyar Bancorp's Return on Assets [ROA] was 1.18% in fiscal Q4 2026 (quarter ended Sep 30, 2026), up 0.19 percentage points from 0.98% a year earlier and up 0.06 percentage points from the prior quarter.
Magyar Bancorp (MGYR) Return on Assets [ROA] (2009 - 2026) Analysis & Trends
For FY2026 (ended Sep 30, 2026), Return on Assets [ROA] at Magyar Bancorp came in at 1.21%, up 0.20 percentage points from FY2025.
- Return on Assets [ROA] shows a five-year change of +0.40 percentage points (FY2021 to FY2026).
- In earlier fiscal years, Return on Assets [ROA] was 1.00% in FY2025 (+0.16 pp), 0.84% in FY2024 (-0.07 pp), 0.90% in FY2023 (-0.10 pp) and 1.01% in FY2022 (+0.21 pp).
- The fiscal Q4 2026 figure marks the highest quarterly Return on Assets [ROA] in data going back to fiscal Q4 2011.
- Compared with a year earlier, Return on Assets [ROA] has increased for eight straight quarters, with an average year-over-year change of +0.14 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Assets [ROA] over five years was fiscal Q1 2022 (a gain of 0.44 percentage points); the worst was fiscal Q1 2024 (a drop of 0.16 percentage points).
- Per Business Quant data, MGYR's Return on Assets [ROA] in the three fiscal quarters before Q4 2026 was 1.11% (Q3 2026), 1.06% (Q2 2026) and 1.06% (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - | 1.31% |
| 2 | Banco Santander Chile | 407.42 Bn | -7,109.68 Bn | - | 1,525.80% |
| 3 | Bank Of America | 353.20 Bn | -2,022.91 Bn | - | 0.00% |
| 4 | Hsbc Holdings | 307.88 Bn | -2,967.28 Bn | - | 0.82% |
| 5 | Morgan Stanley | 298.41 Bn | -244.41 Bn | - | 1.23% |
| 6 | Royal Bank Of Canada | 283.46 Bn | -546.54 Bn | - | 0.93% |
| 7 | Goldman Sachs | 264.45 Bn | -3,478.99 Bn | - | 1.03% |
| 8 | Mitsubishi Ufj Financial | 259.19 Bn | -159.36 Bn | 5.24 Bn | 0.41% |
| 9 | Wells Fargo & Company | 258.28 Bn | 93.72 Bn | - | 1.03% |
| 10 | Magyar Bancorp | 142.06 Mn | 142.06 Mn | - | 1.18% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.18% |
| Jun 30, 2026 | 1.11% |
| Mar 31, 2026 | 1.06% |
| Dec 31, 2025 | 1.06% |
| Sep 30, 2025 | 0.98% |
| Jun 30, 2025 | 0.97% |
| Mar 31, 2025 | 0.89% |
| Dec 31, 2024 | 0.84% |
| Sep 30, 2024 | 0.82% |
| Jun 30, 2024 | 0.79% |
| Mar 31, 2024 | 0.83% |
| Dec 31, 2023 | 0.83% |
| Sep 30, 2023 | 0.87% |
| Jun 30, 2023 | 0.94% |
| Mar 31, 2023 | 0.98% |
| Dec 31, 2022 | 0.99% |
| Sep 30, 2022 | 1.00% |
| Jun 30, 2022 | 0.89% |
| Mar 31, 2022 | 0.84% |
| Dec 31, 2021 | 0.83% |
Magyar Bancorp Return on Assets [ROA] 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=return-on-assets-%5Broa%5D&ticker=MGYR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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=return-on-assets-%5Broa%5D&ticker=MGYR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();