Magyar Bancorp (MGYR) FCF Margin (2009 - 2026)
Magyar Bancorp (MGYR) reported FCF Margin of 47.71% for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 21.76 percentage points from 25.95% a year earlier and up 18.36 percentage points from the prior quarter.
Magyar Bancorp (MGYR) FCF Margin (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Magyar Bancorp's FCF Margin came in at 36.89%, up 14.31 percentage points year-over-year; for FY2025 (ended Sep 30, 2025), it came in at 28.47%, up 9.94 percentage points from FY2024.
- FCF Margin has a five-year change of +25.59 percentage points (FY2020 to FY2025).
- By fiscal year, FCF Margin came in at 18.53% in FY2024 (-9.36 pp), 27.89% in FY2023 (+0.31 pp), 27.58% in FY2022 (-2.90 pp) and 30.48% in FY2021 (+27.60 pp).
- The fiscal Q3 2026 figure ranks as the highest quarterly FCF Margin since fiscal Q4 2023.
- Year over year, FCF Margin has now increased in each of the last six quarters, with an average year-over-year change of +3.79 percentage points over the last eight quarters.
- The high point for year-over-year FCF Margin in five years was fiscal Q4 2021 (a gain of 34.89 percentage points); the low point was fiscal Q3 2023 (a drop of 45.63 percentage points).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at 29.34% (Q2 2026), 38.86% (Q1 2026) and 31.12% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FCF Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - | 66.09% |
| 2 | Banco Santander Chile | 407.42 Bn | -7,109.68 Bn | - | - |
| 3 | Bank Of America | 353.20 Bn | -2,022.91 Bn | - | -21.69% |
| 4 | Hsbc Holdings | 307.88 Bn | -2,967.28 Bn | - | - |
| 5 | Morgan Stanley | 298.41 Bn | -244.41 Bn | - | -230.94% |
| 6 | Royal Bank Of Canada | 283.46 Bn | -546.54 Bn | - | 189.34% |
| 7 | Goldman Sachs | 264.45 Bn | -3,478.99 Bn | - | 19.57% |
| 8 | Mitsubishi Ufj Financial | 259.19 Bn | -159.36 Bn | 5.24 Bn | - |
| 9 | Wells Fargo & Company | 258.28 Bn | 93.72 Bn | - | 40.54% |
| 10 | Magyar Bancorp | 142.06 Mn | 142.06 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 47.71% |
| Mar 31, 2026 | 29.34% |
| Dec 31, 2025 | 38.86% |
| Sep 30, 2025 | 31.12% |
| Jun 30, 2025 | 25.95% |
| Mar 31, 2025 | 25.39% |
| Dec 31, 2024 | 31.66% |
| Sep 30, 2024 | 5.80% |
| Jun 30, 2024 | 21.48% |
| Mar 31, 2024 | 5.67% |
| Dec 31, 2023 | 39.42% |
| Sep 30, 2023 | 51.02% |
| Jun 30, 2023 | 5.91% |
| Mar 31, 2023 | 39.66% |
| Dec 31, 2022 | 17.96% |
| Sep 30, 2022 | 57.34% |
| Jun 30, 2022 | 50.20% |
| Mar 31, 2022 | 5.91% |
| Dec 31, 2021 | -9.37% |
| Sep 30, 2021 | 44.73% |
Magyar Bancorp FCF 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=fcf-margin&ticker=MGYR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "fcf-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=fcf-margin&ticker=MGYR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();