Magyar Bancorp (MGYR) Cash from Operations (2009 - 2026)
Magyar Bancorp's Cash from Operations was $5.22 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 131.6% from $2.26 million a year earlier and up 61.6% from the prior quarter.
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Analysis
Magyar Bancorp (MGYR) Cash from Operations (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Magyar Bancorp's Cash from Operations was $14.98 million through Jun 30, 2026, up 78.3% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $10.39 million, up 64.4% from FY2024.
- Cash from Operations shows a five-year compound annual growth rate of 66.4% (FY2020 to FY2025).
- In earlier fiscal years, Cash from Operations was $6.32 million in FY2024 (-25.5%), $8.48 million in FY2023 (-24.3%), $11.2 million in FY2022 (+21.0%) and $9.26 million in FY2021.
- The fiscal Q3 2026 figure marks the highest quarterly Cash from Operations since fiscal Q4 2012.
- Compared with a year earlier, Cash from Operations has increased for six straight quarters, with growth averaging 87.8% over the last eight quarters.
- The best year-over-year quarter for Cash from Operations over five years was fiscal Q2 2023 (growth of 599.5%); the worst was fiscal Q3 2023 (a decline of 91.1%).
- Per Business Quant data, MGYR's Cash from Operations in the three fiscal quarters before Q3 2026 was $3.23 million (Q2 2026), $3.68 million (Q1 2026) and $2.85 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (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 | - | -46.02 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 | - | 4.18 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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.22 Mn |
| Mar 31, 2026 | 3.23 Mn |
| Dec 31, 2025 | 3.68 Mn |
| Sep 30, 2025 | 2.85 Mn |
| Jun 30, 2025 | 2.26 Mn |
| Mar 31, 2025 | 2.38 Mn |
| Dec 31, 2024 | 2.91 Mn |
| Sep 30, 2024 | 855,000.00 |
| Jun 30, 2024 | 1.69 Mn |
| Mar 31, 2024 | 553,000.00 |
| Dec 31, 2023 | 3.22 Mn |
| Sep 30, 2023 | 3.93 Mn |
| Jun 30, 2023 | 343,000.00 |
| Mar 31, 2023 | 2.88 Mn |
| Dec 31, 2022 | 1.34 Mn |
| Sep 30, 2022 | 4.62 Mn |
| Jun 30, 2022 | 3.84 Mn |
| Mar 31, 2022 | 411,000.00 |
| Dec 31, 2021 | 2.34 Mn |
| Sep 30, 2021 | 4.02 Mn |
API Access
Magyar Bancorp Cash from Operations 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=cash-from-operations&ticker=MGYR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=MGYR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();