Materialise (MTLS) Price to Sales (2014 - 2026)
Materialise's (MTLS) Price to Sales came in at 1.38 for the quarter ended Jun 30, 2026, up 19.4% from 1.16 a year earlier and up 46.6% from the prior quarter.
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Analysis
Materialise (MTLS) Price to Sales (2014 - 2026) Analysis & Trends
For the year ended Dec 31, 2025, Materialise's Price to Sales stood at 1.08, down 24.7% from the prior year.
- In prior years, Materialise's Price to Sales was 1.44 in the year ended Dec 31, 2024 (+2.8%), 1.40 in the year ended Dec 31, 2023 (-82.0%), 7.77 in the year ended Dec 31, 2022 (+28.3%) and 6.06 in the year ended Dec 31, 2021 (-88.5%).
- The figure for the quarter ended Jun 30, 2026 stands as the highest quarterly Price to Sales since the quarter ended Dec 31, 2024.
- On a year-over-year basis, Price to Sales increased in four of the last eight quarters, with an average decline of 2.1%.
- The strongest year-over-year quarter for Price to Sales in the past five years was the quarter ended Jun 30, 2026, with growth of 19.4%; the weakest was the quarter ended Dec 31, 2022, with a decline of 63.3%.
- According to Business Quant data, Price to Sales for the three prior quarters was 0.94 (quarter ended Mar 31, 2026), 1.08 (quarter ended Dec 31, 2025) and 1.13 (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 | 1.38 |
| Mar 31, 2026 | 0.94 |
| Dec 31, 2025 | 1.08 |
| Sep 30, 2025 | 1.13 |
| Jun 30, 2025 | 1.16 |
| Mar 31, 2025 | 1.00 |
| Dec 31, 2024 | 1.44 |
| Sep 30, 2024 | 1.12 |
| Jun 30, 2024 | 1.06 |
| Mar 31, 2024 | 1.13 |
| Dec 31, 2023 | 1.40 |
| Sep 30, 2023 | 1.19 |
| Jun 30, 2023 | 1.93 |
| Mar 31, 2023 | 1.92 |
| Dec 31, 2022 | 2.14 |
| Sep 30, 2022 | 2.63 |
| Jun 30, 2022 | 3.30 |
| Mar 31, 2022 | 4.68 |
| Dec 31, 2021 | 5.91 |
| Sep 30, 2021 | 4.77 |
API Access
Materialise 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=MTLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-sales", "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-sales&ticker=MTLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();