Magyar Bancorp (MGYR) Depreciation and Depletion (2010 - 2026)
Magyar Bancorp's Depreciation and Depletion came in at $220,000 for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 5.6% from $233,000 a year earlier but up 3.3% from the prior quarter.
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Analysis
Magyar Bancorp (MGYR) Depreciation and Depletion (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Magyar Bancorp reported Depreciation and Depletion of $871,000, down 7.0% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $937,000, up 5.3% from FY2024.
- Depreciation and Depletion has increased in each of the last four fiscal years, with a five-year compound annual growth rate of 1.9% (FY2020 to FY2025).
- Going back by fiscal year, Depreciation and Depletion was $890,000 in FY2024 (+6.0%), $840,000 in FY2023 (+0.1%), $839,000 in FY2022 (+0.5%) and $835,000 in FY2021 (-2.2%).
- The five-year range for quarterly Depreciation and Depletion is $207,000 (fiscal Q2 2023) to $240,000 (fiscal Q1 2025).
- Year-over-year, Depreciation and Depletion has declined for three consecutive quarters, with growth averaging 0.1% over the last eight quarters.
- The fastest year-over-year change in Depreciation and Depletion over five years came in fiscal Q1 2025 (growth of 10.6%), and the weakest in fiscal Q4 2021 (a decline of 46.5%).
- Business Quant data shows MGYR's Depreciation and Depletion at $213,000 (Q2 2026), $211,000 (Q1 2026) and $227,000 (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 881.30 Bn | 881.30 Bn | - | - |
| 2 | Bank Of America | 354.90 Bn | -2,021.17 Bn | - | - |
| 3 | Hsbc Holdings | 311.39 Bn | -1,517.77 Bn | - | - |
| 4 | Morgan Stanley | 282.15 Bn | -226.95 Bn | - | - |
| 5 | Royal Bank Of Canada | 281.68 Bn | -548.32 Bn | - | 243.13 Mn |
| 6 | Goldman Sachs | 255.22 Bn | -3,301.89 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 | - | 256.04 Mn |
| 10 | Magyar Bancorp | 128.50 Mn | 28.19 Mn | - | 220,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 220,000.00 |
| Mar 31, 2026 | 213,000.00 |
| Dec 31, 2025 | 211,000.00 |
| Sep 30, 2025 | 227,000.00 |
| Jun 30, 2025 | 233,000.00 |
| Mar 31, 2025 | 237,000.00 |
| Dec 31, 2024 | 240,000.00 |
| Sep 30, 2024 | 227,000.00 |
| Jun 30, 2024 | 223,000.00 |
| Mar 31, 2024 | 223,000.00 |
| Dec 31, 2023 | 217,000.00 |
| Sep 30, 2023 | 212,000.00 |
| Jun 30, 2023 | 213,000.00 |
| Mar 31, 2023 | 207,000.00 |
| Dec 31, 2022 | 208,000.00 |
| Sep 30, 2022 | 212,000.00 |
| Jun 30, 2022 | 210,000.00 |
| Mar 31, 2022 | 208,000.00 |
| Dec 31, 2021 | 209,000.00 |
| Sep 30, 2021 | 213,000.00 |
API Access
Magyar Bancorp Depreciation and Depletion 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=depreciation-and-depletion&ticker=MGYR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=MGYR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();