Magyar Bancorp (MGYR) Provisions (2010 - 2026)
Magyar Bancorp's (MGYR) quarterly Provisions came in at $351000.0 in Q2 2026, up 192.5% on a YoY basis from $120000.0 in Q2 2025, and up 37.11% quarter-over-quarter from $256000.0 in Q1 2026.
Magyar Bancorp (MGYR) Provisions (2010 - 2026) Analysis & Trends
Magyar Bancorp (MGYR) has reported Provisions for 17 consecutive years, with $351000.0 the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Provisions rose 192.5% year-over-year to $351000.0; the trailing twelve-month figure through Jun 2026 stood at $8.7 million (up 6055.32% YoY), and the FY2025 full-year result was $8.4 million, up 4515.38% from the prior year.
- Provisions climbed to $351000.0 in Q2 2026 per MGYR's latest filing, from $256000.0 in the prior quarter.
- Across five years, Provisions topped out at $8.1 million in Q3 2022 and bottomed at -$259000.0 in Q3 2024.
- Historically, Provisions has averaged $993666.7 across 5 years, with a median of $157500.0 in 2023.
- The sharpest annual moves came in 2024 and 2025: Provisions tumbled 407.84% in 2024, then surged 3189.19% in 2025.
- Over 5 years, Provisions stood at $317000.0 in 2022, then jumped by 51.74% to $481000.0 in 2023, then sank by 56.55% to $209000.0 in 2024, then sank by 66.03% to $71000.0 in 2025, then jumped by 394.37% to $351000.0 in 2026.
- According to Business Quant data, Provisions over the past three periods registered $351000.0, $256000.0, and $71000.0 for Q2 2026, Q1 2026, and Q4 2025 respectively.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provisions (Qtr) |
|---|---|---|---|---|---|
| 1 | Banco Santander Chile | 424.88 Bn | 544.83 Bn | - | - |
| 2 | Truist Financial | 59.29 Bn | 59.29 Bn | - | 395.00 Mn |
| 3 | Fifth Third Bancorp | 47.98 Bn | 24.26 Bn | - | 131.00 Mn |
| 4 | M&T Bank | 32.82 Bn | 32.82 Bn | - | 120.00 Mn |
| 5 | Huntington Bancshares | 32.08 Bn | 27.60 Bn | - | 132.00 Mn |
| 6 | Citizens Financial | 28.34 Bn | 28.34 Bn | - | 146.00 Mn |
| 7 | Regions Financial | 24.27 Bn | 24.34 Bn | - | 68.00 Mn |
| 8 | Keycorp | 22.19 Bn | -25.51 Bn | - | 111.00 Mn |
| 9 | First Citizens Bancshares | 21.93 Bn | 21.41 Bn | 29.00 Mn | -10.00 Mn |
| 10 | Magyar Bancorp | 125.27 Mn | 113.80 Mn | - | 351,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 351,000.00 |
| Mar 31, 2026 | 256,000.00 |
| Dec 31, 2025 | 71,000.00 |
| Sep 30, 2025 | 8.00 Mn |
| Jun 30, 2025 | 120,000.00 |
| Mar 31, 2025 | 71,000.00 |
| Dec 31, 2024 | 209,000.00 |
| Sep 30, 2024 | -259,000.00 |
| Jun 30, 2024 | -54,000.00 |
| Mar 31, 2024 | -74,000.00 |
| Dec 31, 2023 | 481,000.00 |
| Sep 30, 2023 | -51,000.00 |
| Jun 30, 2023 | -81,000.00 |
| Mar 31, 2023 | 195,000.00 |
| Dec 31, 2022 | 317,000.00 |
| Sep 30, 2022 | 8.06 Mn |
| Jun 30, 2022 | 205,000.00 |
| Mar 31, 2022 | 71,000.00 |
| Dec 31, 2021 | 101,000.00 |
| Sep 30, 2021 | 276,000.00 |
Magyar Bancorp 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=provisions&ticker=MGYR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=provisions&ticker=MGYR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();