Magyar Bancorp (MGYR) Tax Provisions (2009 - 2026)
Magyar Bancorp (MGYR) posted Tax Provisions of $1.46 million for fiscal Q4 2026 (quarter ended Sep 30, 2026), up 27.1% from $1.15 million a year earlier and up 15.5% from the prior quarter.
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Analysis
Magyar Bancorp (MGYR) Tax Provisions (2009 - 2026) Analysis & Trends
For FY2026 (ended Sep 30, 2026), Magyar Bancorp's Tax Provisions came in at $5.09 million, up 25.8% from FY2025.
- Annual Tax Provisions has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 14.4% (FY2021 to FY2026).
- In prior fiscal years, Magyar Bancorp's Tax Provisions was $4.05 million in FY2025 (+22.1%), $3.32 million in FY2024 (+9.4%), $3.03 million in FY2023 (-6.7%) and $3.25 million in FY2022 (+24.8%).
- The fiscal Q4 2026 figure stands as the highest quarterly Tax Provisions since fiscal Q4 2024.
- On a year-over-year basis, Tax Provisions has increased in each of the last four quarters, with growth averaging 37.9% over the last eight quarters.
- The strongest year-over-year quarter for Tax Provisions in the past five years was fiscal Q4 2024, with growth of 136.1%; the weakest was fiscal Q3 2024, with a decline of 36.4%.
- According to Business Quant data, Tax Provisions for the three prior fiscal quarters was $1.26 million (Q3 2026), $1.24 million (Q2 2026) and $1.14 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - | 4.83 Bn |
| 2 | Banco Santander Chile | 407.42 Bn | -7,109.68 Bn | - | - |
| 3 | Bank Of America | 353.20 Bn | -2,022.91 Bn | - | 2.03 Bn |
| 4 | Hsbc Holdings | 307.88 Bn | -2,967.28 Bn | - | -2.06 Bn |
| 5 | Morgan Stanley | 298.41 Bn | -244.41 Bn | - | 1.51 Bn |
| 6 | Royal Bank Of Canada | 283.46 Bn | -546.54 Bn | - | 1.24 Bn |
| 7 | Goldman Sachs | 264.45 Bn | -3,478.99 Bn | - | 1.71 Bn |
| 8 | Mitsubishi Ufj Financial | 259.19 Bn | -159.36 Bn | 5.24 Bn | 1.13 Bn |
| 9 | Wells Fargo & Company | 258.28 Bn | 93.72 Bn | - | 1.16 Bn |
| 10 | Magyar Bancorp | 142.06 Mn | 142.06 Mn | - | 1.46 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.46 Mn |
| Jun 30, 2026 | 1.26 Mn |
| Mar 31, 2026 | 1.24 Mn |
| Dec 31, 2025 | 1.14 Mn |
| Sep 30, 2025 | 1.15 Mn |
| Jun 30, 2025 | 1.00 Mn |
| Mar 31, 2025 | 1.10 Mn |
| Dec 31, 2024 | 805,000.00 |
| Sep 30, 2024 | 1.59 Mn |
| Jun 30, 2024 | 501,000.00 |
| Mar 31, 2024 | 526,000.00 |
| Dec 31, 2023 | 700,000.00 |
| Sep 30, 2023 | 674,000.00 |
| Jun 30, 2023 | 788,000.00 |
| Mar 31, 2023 | 790,000.00 |
| Dec 31, 2022 | 780,000.00 |
| Sep 30, 2022 | 1.00 Mn |
| Jun 30, 2022 | 886,000.00 |
| Mar 31, 2022 | 690,000.00 |
| Dec 31, 2021 | 674,000.00 |
API Access
Magyar Bancorp Tax Provisions 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=tax-provisions&ticker=MGYR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=MGYR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();