Magyar Bancorp (MGYR) Free Cash Flow (2009 - 2026)
Magyar Bancorp's Free Cash Flow came in at $4.76 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 115.4% from $2.21 million a year earlier and up 64.0% from the prior quarter.
Magyar Bancorp (MGYR) Free Cash Flow (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Magyar Bancorp reported Free Cash Flow of $14.13 million, up 89.4% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $9.82 million, up 78.3% from FY2024.
- Free Cash Flow carries a five-year compound annual growth rate of 71.2% (FY2020 to FY2025).
- Going back by fiscal year, Free Cash Flow was $5.51 million in FY2024 (-35.1%), $8.48 million in FY2023 (+3.5%), $8.2 million in FY2022 (-7.2%) and $8.84 million in FY2021.
- The fiscal Q3 2026 figure represents the highest quarterly Free Cash Flow since fiscal Q4 2012.
- Year-over-year, Free Cash Flow has increased for six consecutive quarters, with growth averaging 136.9% over the last eight quarters.
- The fastest year-over-year change in Free Cash Flow over five years came in fiscal Q2 2023 (growth of 599.5%), and the weakest in fiscal Q3 2023 (a decline of 91.1%).
- Business Quant data shows MGYR's Free Cash Flow at $2.9 million (Q2 2026), $3.67 million (Q1 2026) and $2.79 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FCF (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - | 33.16 Bn |
| 2 | Banco Santander Chile | 407.42 Bn | -7,109.68 Bn | - | - |
| 3 | Bank Of America | 353.20 Bn | -2,022.91 Bn | - | -6.50 Bn |
| 4 | Hsbc Holdings | 307.88 Bn | -2,967.28 Bn | - | - |
| 5 | Morgan Stanley | 298.41 Bn | -244.41 Bn | - | -46.97 Bn |
| 6 | Royal Bank Of Canada | 283.46 Bn | -546.54 Bn | - | 25.17 Bn |
| 7 | Goldman Sachs | 264.45 Bn | -3,478.99 Bn | - | 3.66 Bn |
| 8 | Mitsubishi Ufj Financial | 259.19 Bn | -159.36 Bn | 5.24 Bn | - |
| 9 | Wells Fargo & Company | 258.28 Bn | 93.72 Bn | - | 8.87 Bn |
| 10 | Magyar Bancorp | 142.06 Mn | 142.06 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.76 Mn |
| Mar 31, 2026 | 2.90 Mn |
| Dec 31, 2025 | 3.67 Mn |
| Sep 30, 2025 | 2.79 Mn |
| Jun 30, 2025 | 2.21 Mn |
| Mar 31, 2025 | 2.28 Mn |
| Dec 31, 2024 | 2.53 Mn |
| Sep 30, 2024 | 437,000.00 |
| Jun 30, 2024 | 1.55 Mn |
| Mar 31, 2024 | 428,000.00 |
| Dec 31, 2023 | 3.10 Mn |
| Sep 30, 2023 | 4.00 Mn |
| Jun 30, 2023 | 444,000.00 |
| Mar 31, 2023 | 3.01 Mn |
| Dec 31, 2022 | 1.35 Mn |
| Sep 30, 2022 | 4.62 Mn |
| Jun 30, 2022 | 3.84 Mn |
| Mar 31, 2022 | 411,000.00 |
| Dec 31, 2021 | -664,000.00 |
| Sep 30, 2021 | 3.23 Mn |
Magyar Bancorp Free Cash Flow 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=free-cash-flow&ticker=MGYR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "free-cash-flow", "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=free-cash-flow&ticker=MGYR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();