Magyar Bancorp (MGYR) Cash & Equivalents (2010 - 2026)
Magyar Bancorp's Cash & Equivalents came in at $11.47 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 62.7% from $7.05 million a year earlier but down 75.9% from the prior quarter.
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Analysis
Magyar Bancorp (MGYR) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Magyar Bancorp's Cash & Equivalents was $7.09 million, down 72.3% from FY2024.
- Cash & Equivalents carries a five-year compound annual growth rate of -35.1% (FY2020 to FY2025).
- Going back by fiscal year, Cash & Equivalents was $25.6 million in FY2024 (-64.7%), $72.53 million in FY2023 (+134.5%), $30.94 million in FY2022 (-58.9%) and $75.2 million in FY2021 (+21.8%).
- The five-year range for quarterly Cash & Equivalents is $7.05 million (fiscal Q3 2025) to $82.27 million (fiscal Q1 2022).
- Year-over-year, Cash & Equivalents increased in three of the last eight quarters, with an average decline of 22.0%.
- The fastest year-over-year change in Cash & Equivalents over five years came in fiscal Q1 2024 (growth of 548.9%), and the weakest in fiscal Q1 2023 (a decline of 90.4%).
- Business Quant data shows MGYR's Cash & Equivalents at $47.64 million (Q2 2026), $34.11 million (Q1 2026) and $7.09 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 881.30 Bn | 881.30 Bn | - | - |
| 2 | Bank Of America | 354.90 Bn | -2,021.17 Bn | - | 229.75 Bn |
| 3 | Hsbc Holdings | 311.39 Bn | -1,517.77 Bn | - | 227.80 Bn |
| 4 | Morgan Stanley | 282.15 Bn | -226.95 Bn | - | 160.14 Bn |
| 5 | Royal Bank Of Canada | 281.68 Bn | -548.32 Bn | - | 45.78 Bn |
| 6 | Goldman Sachs | 255.22 Bn | -3,301.89 Bn | - | 187.27 Bn |
| 7 | Mitsubishi Ufj Financial | 249.82 Bn | -82.42 Bn | 10.89 Bn | - |
| 8 | Wells Fargo & Company | 249.49 Bn | 251.62 Bn | - | - |
| 9 | Toronto Dominion Bank | 210.53 Bn | -465.35 Bn | - | 4.86 Bn |
| 10 | Magyar Bancorp | 128.50 Mn | 28.19 Mn | - | 11.47 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.47 Mn |
| Mar 31, 2026 | 47.64 Mn |
| Dec 31, 2025 | 34.11 Mn |
| Sep 30, 2025 | 7.09 Mn |
| Jun 30, 2025 | 7.05 Mn |
| Mar 31, 2025 | 72.94 Mn |
| Dec 31, 2024 | 58.53 Mn |
| Sep 30, 2024 | 25.60 Mn |
| Jun 30, 2024 | 49.05 Mn |
| Mar 31, 2024 | 49.99 Mn |
| Dec 31, 2023 | 51.12 Mn |
| Sep 30, 2023 | 72.53 Mn |
| Jun 30, 2023 | 22.40 Mn |
| Mar 31, 2023 | 25.43 Mn |
| Dec 31, 2022 | 7.88 Mn |
| Sep 30, 2022 | 30.94 Mn |
| Jun 30, 2022 | 26.32 Mn |
| Mar 31, 2022 | 55.30 Mn |
| Dec 31, 2021 | 82.27 Mn |
| Sep 30, 2021 | 75.20 Mn |
API Access
Magyar Bancorp Cash & Equivalents 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-and-equivalents&ticker=MGYR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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-and-equivalents&ticker=MGYR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();