Magyar Bancorp (MGYR) Wages, Salaries and Other (2009 - 2026)
Magyar Bancorp's Wages, Salaries and Other came in at $3.36 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 8.2% from $3.1 million a year earlier but down 0.1% from the prior quarter.
Magyar Bancorp (MGYR) Wages, Salaries and Other (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Magyar Bancorp reported Wages, Salaries and Other of $13.2 million, up 5.7% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $12.72 million, up 7.6% from FY2024.
- Wages, Salaries and Other carries a five-year compound annual growth rate of 4.3% (FY2020 to FY2025).
- Going back by fiscal year, Wages, Salaries and Other was $11.82 million in FY2024, $784,000 in FY2023 (+43.6%), $546,000 in FY2022 (-94.9%) and $10.62 million in FY2021 (+3.3%).
- The five-year range for quarterly Wages, Salaries and Other is -$7.55 million (fiscal Q4 2022) to $3.36 million (fiscal Q2 2026).
- Year-over-year, Wages, Salaries and Other has increased for seven consecutive quarters, with growth averaging 6.5% over the last seven quarters.
- The fastest year-over-year change in Wages, Salaries and Other over five years came in fiscal Q4 2021 (growth of 9.9%), and the weakest in fiscal Q3 2023 (a decline of 93.9%).
- Business Quant data shows MGYR's Wages, Salaries and Other at $3.36 million (Q2 2026), $3.17 million (Q1 2026) and $3.31 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Wages (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - | 14.77 Bn |
| 2 | Banco Santander Chile | 407.42 Bn | -7,109.68 Bn | - | - |
| 3 | Bank Of America | 353.20 Bn | -2,022.91 Bn | - | 10.97 Bn |
| 4 | Hsbc Holdings | 307.88 Bn | -2,967.28 Bn | - | - |
| 5 | Morgan Stanley | 298.41 Bn | -244.41 Bn | - | 8.00 Bn |
| 6 | Royal Bank Of Canada | 283.46 Bn | -546.54 Bn | - | 4.51 Bn |
| 7 | Goldman Sachs | 264.45 Bn | -3,478.99 Bn | - | 5.12 Bn |
| 8 | Mitsubishi Ufj Financial | 259.19 Bn | -159.36 Bn | 5.24 Bn | - |
| 9 | Wells Fargo & Company | 258.28 Bn | 93.72 Bn | - | 8.75 Bn |
| 10 | Magyar Bancorp | 142.06 Mn | 142.06 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.36 Mn |
| Mar 31, 2026 | 3.36 Mn |
| Dec 31, 2025 | 3.17 Mn |
| Sep 30, 2025 | 3.31 Mn |
| Jun 30, 2025 | 3.10 Mn |
| Mar 31, 2025 | 3.23 Mn |
| Dec 31, 2024 | 3.08 Mn |
| Sep 30, 2024 | 3.08 Mn |
| Jun 30, 2024 | 2.89 Mn |
| Mar 31, 2024 | 3.01 Mn |
| Dec 31, 2023 | 2.85 Mn |
| Sep 30, 2023 | 210,000.00 |
| Jun 30, 2023 | 164,000.00 |
| Mar 31, 2023 | 209,000.00 |
| Dec 31, 2022 | 201,000.00 |
| Sep 30, 2022 | -7.55 Mn |
| Jun 30, 2022 | 2.70 Mn |
| Mar 31, 2022 | 2.69 Mn |
| Dec 31, 2021 | 2.70 Mn |
| Sep 30, 2021 | 2.83 Mn |
Magyar Bancorp Wages, Salaries and Other 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=wages-salaries-and-other&ticker=MGYR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "wages-salaries-and-other", "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=wages-salaries-and-other&ticker=MGYR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();