Materialise (MTLS) Price to Earnings (2014 - 2026)
Materialise's (MTLS) Price to Earnings stood at 28.52 in the quarter ended Jun 30, 2026, down 47.6% from 54.48 a year earlier but up 14.8% from the prior quarter.
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Analysis
Materialise (MTLS) Price to Earnings (2014 - 2026) Analysis & Trends
For the year ended Dec 31, 2025, Materialise's Price to Earnings came in at 25.83, down 15.1% from the prior year.
- Across earlier years, Price to Earnings came in at 30.44 in the year ended Dec 31, 2024 (-43.0%), 53.37 in the year ended Dec 31, 2023 and 94.63 in the year ended Dec 31, 2021.
- Quarterly Price to Earnings has ranged from 24.85 in the quarter ended Mar 31, 2026 to 2919.95 in the quarter ended Jun 30, 2023 over the past five years.
- On a year-over-year basis, Price to Earnings rose in three of the last eight quarters, with growth averaging 7.0%.
- Peak year-over-year performance for Price to Earnings in the last five years was growth of 413.0% in the quarter ended Mar 31, 2023, against a decline of 99.1% in the quarter ended Jun 30, 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at 24.85 (quarter ended Mar 31, 2026), 36.23 (quarter ended Dec 31, 2025) and 66.57 (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 449.46 Bn | 418.52 Bn | 1.64 Bn |
| 2 | Oracle | 415.29 Bn | 287.84 Bn | - |
| 3 | Sap Se | 256.30 Bn | 177.39 Bn | 8.40 Bn |
| 4 | Salesforce | 188.94 Bn | 144.82 Bn | 8.70 Bn |
| 5 | ServiceNow | 138.57 Bn | 117.03 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 102.66 Bn | 84.78 Bn | 2.51 Bn |
| 7 | Intuit | 74.00 Bn | 53.35 Bn | 3.44 Bn |
| 8 | Relx | 60.34 Bn | 57.31 Bn | - |
| 9 | Strategy | 53.88 Bn | 46.87 Bn | 81.55 Mn |
| 10 | Materialise | 505.62 Mn | 505.52 Mn | 46.23 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 28.52 |
| Mar 31, 2026 | 24.85 |
| Dec 31, 2025 | 36.23 |
| Sep 30, 2025 | 66.57 |
| Jun 30, 2025 | 54.48 |
| Mar 31, 2025 | 28.83 |
| Dec 31, 2024 | 28.59 |
| Sep 30, 2024 | 29.82 |
| Jun 30, 2024 | 24.90 |
| Mar 31, 2024 | 43.48 |
| Dec 31, 2023 | 53.41 |
| Sep 30, 2023 | 109.91 |
| Mar 31, 2023 | 342.38 |
| Sep 30, 2022 | 80.36 |
| Jun 30, 2022 | 48.73 |
| Mar 31, 2022 | 58.12 |
| Dec 31, 2021 | 92.66 |
| Dec 31, 2019 | 556.61 |
| Sep 30, 2019 | 1,024.87 |
| Jun 30, 2019 | 394.99 |
API Access
Materialise 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=MTLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "MTLS", "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=MTLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();