Magyar Bancorp (MGYR) Occupancy Expense (2009 - 2026)
Magyar Bancorp (MGYR) reported Occupancy Expense of $837,000 for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 4.6% from $800,000 a year earlier but down 0.7% from the prior quarter.
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Analysis
Magyar Bancorp (MGYR) Occupancy Expense (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Magyar Bancorp's Occupancy Expense came in at $3.32 million, down 5.0% year-over-year; for FY2025 (ended Sep 30, 2025), it was $3.46 million, up 5.7% from FY2024.
- Occupancy Expense has increased for eight consecutive fiscal years, with a five-year compound annual growth rate of 2.9% (FY2020 to FY2025).
- By fiscal year, Occupancy Expense came in at $3.28 million in FY2024 (+2.8%), $3.19 million in FY2023 (+5.7%), $3.02 million in FY2022 (+0.5%) and $3 million in FY2021 (+0.2%).
- Five-year quarterly Occupancy Expense spans a low of $739,000 in fiscal Q1 2022 and a high of $991,000 in fiscal Q1 2025.
- Year over year, Occupancy Expense gained in four of the last eight quarters, with growth averaging 1.7%.
- The high point for year-over-year Occupancy Expense in five years was fiscal Q1 2025 (growth of 25.4%); the low point was fiscal Q1 2026 (a decline of 17.4%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $843,000 (Q2 2026), $819,000 (Q1 2026) and $823,000 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 | - |
| 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 | 837,000.00 |
| Mar 31, 2026 | 843,000.00 |
| Dec 31, 2025 | 819,000.00 |
| Sep 30, 2025 | 823,000.00 |
| Jun 30, 2025 | 800,000.00 |
| Mar 31, 2025 | 849,000.00 |
| Dec 31, 2024 | 991,000.00 |
| Sep 30, 2024 | 857,000.00 |
| Jun 30, 2024 | 825,000.00 |
| Mar 31, 2024 | 803,000.00 |
| Dec 31, 2023 | 790,000.00 |
| Sep 30, 2023 | 832,000.00 |
| Jun 30, 2023 | 803,000.00 |
| Mar 31, 2023 | 792,000.00 |
| Dec 31, 2022 | 761,000.00 |
| Sep 30, 2022 | 761,000.00 |
| Jun 30, 2022 | 750,000.00 |
| Mar 31, 2022 | 765,000.00 |
| Dec 31, 2021 | 739,000.00 |
| Sep 30, 2021 | 756,000.00 |
API Access
Magyar Bancorp Occupancy Expense 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=occupancy-expense&ticker=MGYR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "occupancy-expense", "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=occupancy-expense&ticker=MGYR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();