Magyar Bancorp (MGYR) Gain (Loss) on Sale of Loans (2009 - 2026)
Magyar Bancorp (MGYR) reported Gain (Loss) on Sale of Loans of $303,000 for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 12.6% from the prior quarter.
Magyar Bancorp (MGYR) Gain (Loss) on Sale of Loans (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Magyar Bancorp's Gain (Loss) on Sale of Loans came in at $1.12 million, up 1.1% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $1.14 million, up 89.5% from FY2024.
- Gain (Loss) on Sale of Loans has a five-year compound annual growth rate of 29.1% (FY2020 to FY2025).
- By fiscal year, Gain (Loss) on Sale of Loans came in at $599,000 in FY2024 (+6.0%), $565,000 in FY2023 (-38.9%), $925,000 in FY2022 (+23.5%) and $749,000 in FY2021 (+136.3%).
- The fiscal Q3 2026 figure ranks as the highest quarterly Gain (Loss) on Sale of Loans since fiscal Q2 2025.
- Year over year, Gain (Loss) on Sale of Loans gained in five of the last six quarters, with growth averaging 76.1%.
- The high point for year-over-year Gain (Loss) on Sale of Loans in five years was fiscal Q4 2024 (growth of 221.3%); the low point was fiscal Q4 2023 (a decline of 78.5%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $269,000 (Q2 2026), $258,000 (Q1 2026) and $287,000 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gain on Loan Sales (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - | 77.00 Mn |
| 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 | - | 61.00 Mn |
| 10 | Magyar Bancorp | 142.06 Mn | 142.06 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 303,000.00 |
| Mar 31, 2026 | 269,000.00 |
| Dec 31, 2025 | 258,000.00 |
| Sep 30, 2025 | 287,000.00 |
| Mar 31, 2025 | 612,000.00 |
| Dec 31, 2024 | 236,000.00 |
| Sep 30, 2024 | 257,000.00 |
| Mar 31, 2024 | 213,000.00 |
| Dec 31, 2023 | 129,000.00 |
| Sep 30, 2023 | 80,000.00 |
| Jun 30, 2023 | 103,000.00 |
| Mar 31, 2023 | 201,000.00 |
| Dec 31, 2022 | 180,000.00 |
| Sep 30, 2022 | 372,000.00 |
| Jun 30, 2022 | 134,000.00 |
| Mar 31, 2022 | 139,000.00 |
| Dec 31, 2021 | 281,000.00 |
| Jun 30, 2021 | 380,000.00 |
| Mar 31, 2021 | 106,000.00 |
| Dec 31, 2020 | 263,000.00 |
Magyar Bancorp Gain (Loss) on Sale of Loans 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=gain-loss-on-sale-of-loans&ticker=MGYR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gain-loss-on-sale-of-loans", "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=gain-loss-on-sale-of-loans&ticker=MGYR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();