Matthews International (MATW) Price to Earnings (2010 - 2026)
Matthews International's Price to Earnings was 82.95 in fiscal Q2 2026 (quarter ended Mar 31, 2026), up 130.9% from the prior quarter.
Analysis
Matthews International (MATW) Price to Earnings (2010 - 2026) Analysis & Trends
For FY2023 (ended Sep 30, 2023), Price to Earnings at Matthews International came in at 30.09.
- In earlier fiscal years, Price to Earnings was 375.15 in FY2021.
- The fiscal Q2 2026 figure marks the highest quarterly Price to Earnings since fiscal Q4 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Service Corp International | 10.54 Bn | 9.54 Bn | 273.50 Mn |
| 2 | New Oriental Education & Technology | 8.59 Bn | -6.18 Bn | 812.22 Mn |
| 3 | Laureate Education | 5.32 Bn | 4.61 Bn | 237.67 Mn |
| 4 | Graham Holdings | 4.91 Bn | 39.55 Mn | 392.03 Mn |
| 5 | Covista | 4.27 Bn | 3.40 Bn | 284.63 Mn |
| 6 | Valvoline | 3.90 Bn | 3.61 Bn | 214.90 Mn |
| 7 | Stride | 3.27 Bn | 167.49 Mn | 217.28 Mn |
| 8 | Bright Horizons Family Solutions | 3.16 Bn | 2.61 Bn | 188.96 Mn |
| 9 | Onespaworld Holdings | 2.40 Bn | 2.30 Bn | 44.57 Mn |
| 10 | Matthews International | 602.10 Mn | 464.62 Mn | 88.19 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 82.95 |
| Dec 31, 2025 | 35.93 |
| Jun 30, 2024 | 29.23 |
| Mar 31, 2024 | 28.76 |
| Dec 31, 2023 | 33.78 |
| Sep 30, 2023 | 30.09 |
| Sep 30, 2021 | 375.15 |
| Jun 30, 2021 | 81.25 |
| Mar 31, 2021 | 97.01 |
| Jun 30, 2019 | 17.49 |
| Mar 31, 2019 | 16.17 |
| Dec 31, 2018 | 17.20 |
| Sep 30, 2018 | 14.98 |
| Jun 30, 2018 | 19.37 |
| Mar 31, 2018 | 15.86 |
| Dec 31, 2017 | 17.18 |
| Sep 30, 2017 | 26.91 |
| Jun 30, 2017 | 25.09 |
| Mar 31, 2017 | 29.85 |
| Dec 31, 2016 | 34.21 |
API Access
Matthews International Price to Earnings 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-earnings&ticker=MATW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "MATW", "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-earnings&ticker=MATW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();