Magyar Bancorp (MGYR) FDIC Insurance (2009 - 2026)
Magyar Bancorp's FDIC Insurance came in at $121,000 for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 5.2% from $115,000 a year earlier and up 1.7% from the prior quarter.
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Analysis
Magyar Bancorp (MGYR) FDIC Insurance (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Magyar Bancorp reported FDIC Insurance of $468,000, up 5.6% year-over-year; for FY2025 (ended Sep 30, 2025), it was $451,000, up 7.1% from FY2024.
- FDIC Insurance has increased in each of the last three fiscal years, though with a five-year compound annual growth rate of -1.2% (FY2020 to FY2025).
- Going back by fiscal year, FDIC Insurance was $421,000 in FY2024 (+23.8%), $340,000 in FY2023 (+58.1%), $215,000 in FY2022 (-49.1%) and $422,000 in FY2021 (-11.9%).
- The fiscal Q3 2026 figure represents the highest quarterly FDIC Insurance since fiscal Q2 2021.
- Year-over-year, FDIC Insurance has increased for 14 consecutive quarters, with growth averaging 6.7% over the last eight quarters.
- The fastest year-over-year change in FDIC Insurance over five years came in fiscal Q2 2023 (growth of 91.8%), and the weakest in fiscal Q2 2022 (a decline of 61.4%).
- Business Quant data shows MGYR's FDIC Insurance at $119,000 (Q2 2026), $115,000 (Q1 2026) and $113,000 (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FDIC Insurance (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - | - |
| 2 | Banco Santander Chile | 407.42 Bn | -7,109.68 Bn | - | - |
| 3 | Bank Of America | 353.20 Bn | -2,022.91 Bn | - | - |
| 4 | Hsbc Holdings | 307.88 Bn | -2,967.28 Bn | - | 3.57 Bn |
| 5 | Morgan Stanley | 298.41 Bn | -244.41 Bn | - | - |
| 6 | Royal Bank Of Canada | 283.46 Bn | -546.54 Bn | - | - |
| 7 | Goldman Sachs | 264.45 Bn | -3,478.99 Bn | - | - |
| 8 | Mitsubishi Ufj Financial | 259.19 Bn | -159.36 Bn | 5.24 Bn | - |
| 9 | Wells Fargo & Company | 258.28 Bn | 93.72 Bn | - | - |
| 10 | Magyar Bancorp | 142.06 Mn | 142.06 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 121,000.00 |
| Mar 31, 2026 | 119,000.00 |
| Dec 31, 2025 | 115,000.00 |
| Sep 30, 2025 | 113,000.00 |
| Jun 30, 2025 | 115,000.00 |
| Mar 31, 2025 | 114,000.00 |
| Dec 31, 2024 | 107,000.00 |
| Sep 30, 2024 | 107,000.00 |
| Jun 30, 2024 | 106,000.00 |
| Mar 31, 2024 | 105,000.00 |
| Dec 31, 2023 | 103,000.00 |
| Sep 30, 2023 | 97,000.00 |
| Jun 30, 2023 | 96,000.00 |
| Mar 31, 2023 | 94,000.00 |
| Dec 31, 2022 | 54,000.00 |
| Sep 30, 2022 | 54,000.00 |
| Jun 30, 2022 | 55,000.00 |
| Mar 31, 2022 | 49,000.00 |
| Dec 31, 2021 | 57,000.00 |
| Sep 30, 2021 | 52,000.00 |
API Access
Magyar Bancorp FDIC Insurance 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=fdic-insurance&ticker=MGYR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "fdic-insurance", "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=fdic-insurance&ticker=MGYR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();