Magyar Bancorp (MGYR) Technology and Communications (2011 - 2026)
Magyar Bancorp (MGYR) recorded Technology and Communications of $157,000 in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 30.8% from $120,000 a year earlier but down 3.1% from the prior quarter.
Magyar Bancorp (MGYR) Technology and Communications (2011 - 2026) Analysis & Trends
On a TTM basis, Magyar Bancorp's Technology and Communications came in at $614,000 as of Jun 30, 2026, up 39.2% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $471,000, down 13.1% from FY2024.
- Annual Technology and Communications has a five-year compound annual growth rate of -4.4% (FY2020 to FY2025).
- Across earlier fiscal years, Technology and Communications came in at $542,000 in FY2024 (-6.4%), $579,000 in FY2023 (+4.1%), $556,000 in FY2022 (+5.3%) and $528,000 in FY2021 (-10.4%).
- Quarterly Technology and Communications has ranged from $91,000 in fiscal Q1 2025 to $162,000 in fiscal Q2 2026 over the past five years.
- On a year-over-year basis, Technology and Communications has increased for four consecutive quarters, with growth averaging 9.1% over the last eight quarters.
- Peak year-over-year performance for Technology and Communications in the last five years was growth of 72.5% in fiscal Q1 2026, against a decline of 35.0% in fiscal Q1 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $162,000 (Q2 2026), $157,000 (Q1 2026) and $138,000 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Technology (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - | 3.34 Bn |
| 2 | Banco Santander Chile | 407.42 Bn | -7,109.68 Bn | - | - |
| 3 | Bank Of America | 353.20 Bn | -2,022.91 Bn | - | 2.01 Bn |
| 4 | Hsbc Holdings | 307.88 Bn | -2,967.28 Bn | - | - |
| 5 | Morgan Stanley | 298.41 Bn | -244.41 Bn | - | 1.30 Bn |
| 6 | Royal Bank Of Canada | 283.46 Bn | -546.54 Bn | - | 284.73 Mn |
| 7 | Goldman Sachs | 264.45 Bn | -3,478.99 Bn | - | 674.00 Mn |
| 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
| Date | Value |
|---|---|
| Jun 30, 2026 | 157,000.00 |
| Mar 31, 2026 | 162,000.00 |
| Dec 31, 2025 | 157,000.00 |
| Sep 30, 2025 | 138,000.00 |
| Jun 30, 2025 | 120,000.00 |
| Mar 31, 2025 | 122,000.00 |
| Dec 31, 2024 | 91,000.00 |
| Sep 30, 2024 | 108,000.00 |
| Jun 30, 2024 | 147,000.00 |
| Mar 31, 2024 | 147,000.00 |
| Dec 31, 2023 | 140,000.00 |
| Sep 30, 2023 | 136,000.00 |
| Jun 30, 2023 | 148,000.00 |
| Mar 31, 2023 | 149,000.00 |
| Dec 31, 2022 | 146,000.00 |
| Sep 30, 2022 | 147,000.00 |
| Jun 30, 2022 | 136,000.00 |
| Mar 31, 2022 | 139,000.00 |
| Dec 31, 2021 | 134,000.00 |
| Sep 30, 2021 | 137,000.00 |
Magyar Bancorp Technology and Communications 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=technology-and-communications&ticker=MGYR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "technology-and-communications", "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=technology-and-communications&ticker=MGYR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();