Magyar Bancorp (MGYR) Price to Sales (2010 - 2026)
Magyar Bancorp's (MGYR) quarterly Price to Sales came in at 11.25 in Q2 2026, down 8.14% on a YoY basis from 12.24 in Q2 2025, and down 1.38% quarter-over-quarter from 11.4 in Q1 2026.
Magyar Bancorp (MGYR) Price to Sales (2010 - 2026) Analysis & Trends
Magyar Bancorp (MGYR) has reported Price to Sales for 12 consecutive years, with 11.25 the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Price to Sales fell 8.14% year-over-year to 11.25; the trailing twelve-month figure through Jun 2026 stood at 2.95 (down 9.81% YoY), and the FY2025 full-year result was 3.27, up 23.51% from the prior year.
- Price to Sales retreated to 11.25 in Q2 2026 per MGYR's latest filing, from 11.4 in the prior quarter.
- Across five years, Price to Sales topped out at 12.51 in Q3 2025 and bottomed at 9.18 in Q2 2023.
- Historically, Price to Sales has averaged 10.8 across 5 years, with a median of 10.81 in 2022.
- The sharpest annual moves came in 2022 and 2023: Price to Sales surged 34.77% in 2022, then retreated 22.35% in 2023.
- Over 5 years, Price to Sales stood at 11.54 in 2022, then fell by 17.43% to 9.53 in 2023, then climbed by 23.2% to 11.74 in 2024, then advanced by 0.82% to 11.84 in 2025, then decreased by 5.02% to 11.25 in 2026.
- According to Business Quant data, Price to Sales over the past three periods registered 11.25, 11.4, and 11.84 for Q2 2026, Q1 2026, and Q4 2025 respectively.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Banco Santander Chile | 424.88 Bn | 544.83 Bn | - |
| 2 | Truist Financial | 59.29 Bn | 59.29 Bn | - |
| 3 | Fifth Third Bancorp | 47.98 Bn | 24.26 Bn | - |
| 4 | M&T Bank | 32.82 Bn | 32.82 Bn | - |
| 5 | Huntington Bancshares | 32.08 Bn | 27.60 Bn | - |
| 6 | Citizens Financial | 28.34 Bn | 28.34 Bn | - |
| 7 | Regions Financial | 24.27 Bn | 24.34 Bn | - |
| 8 | Keycorp | 22.19 Bn | -25.51 Bn | - |
| 9 | First Citizens Bancshares | 21.93 Bn | 21.41 Bn | 29.00 Mn |
| 10 | Magyar Bancorp | 125.27 Mn | 113.80 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.25 |
| Mar 31, 2026 | 11.40 |
| Dec 31, 2025 | 11.84 |
| Sep 30, 2025 | 12.51 |
| Jun 30, 2025 | 12.24 |
| Mar 31, 2025 | 10.62 |
| Dec 31, 2024 | 11.74 |
| Sep 30, 2024 | 10.55 |
| Jun 30, 2024 | 10.01 |
| Mar 31, 2024 | 9.81 |
| Dec 31, 2023 | 9.53 |
| Sep 30, 2023 | 9.36 |
| Jun 30, 2023 | 9.18 |
| Mar 31, 2023 | 9.36 |
| Dec 31, 2022 | 11.54 |
| Sep 30, 2022 | 10.41 |
| Jun 30, 2022 | 11.01 |
| Mar 31, 2022 | 12.05 |
| Dec 31, 2021 | 12.29 |
| Sep 30, 2021 | 11.24 |
Magyar Bancorp Price to Sales 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=price-to-sales&ticker=MGYR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-sales", "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=price-to-sales&ticker=MGYR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();