Materialise (MTLS) Enterprise Value (2014 - 2026)
Materialise (MTLS) posted Enterprise Value of $283.32 million for the quarter ended Jun 30, 2026, up 40.9% from $201.13 million a year earlier and up 108.3% from the prior quarter.
Materialise (MTLS) Enterprise Value (2014 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Enterprise Value at Materialise was -$182.56 million; for the year ended Dec 31, 2025, it came in at $176.43 million, down 42.2% from the prior year.
- Annual Enterprise Value shows a five-year compound annual growth rate of -42.5% (years ended Dec 2020 to Dec 2025).
- In prior years, Materialise's Enterprise Value was $305.01 million in the year ended Dec 31, 2024 (+22.0%), $250.02 million in the year ended Dec 31, 2023 (-33.5%), $376.04 million in the year ended Dec 31, 2022 (-68.1%) and $1.18 billion in the year ended Dec 31, 2021 (-58.1%).
- The figure for the quarter ended Jun 30, 2026 stands as the highest quarterly Enterprise Value since the quarter ended Dec 31, 2024.
- On a year-over-year basis, Enterprise Value increased in five of the last eight quarters, with growth averaging 3.0%.
- The strongest year-over-year quarter for Enterprise Value in the past five years was the quarter ended Jun 30, 2026, with growth of 40.9%; the weakest was the quarter ended Dec 31, 2022, with a decline of 68.3%.
- According to Business Quant data, Enterprise Value for the three prior quarters was $136.04 million (quarter ended Mar 31, 2026), $171.84 million (quarter ended Dec 31, 2025) and $174.57 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 462.03 Bn | 430.98 Bn | 1.64 Bn |
| 2 | Oracle | 387.48 Bn | 259.61 Bn | - |
| 3 | Sap Se | 266.80 Bn | 194.59 Bn | 8.40 Bn |
| 4 | Salesforce | 199.03 Bn | 154.91 Bn | 8.70 Bn |
| 5 | ServiceNow | 154.48 Bn | 132.94 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 117.71 Bn | 99.83 Bn | 2.51 Bn |
| 7 | Intuit | 92.43 Bn | 71.78 Bn | 3.44 Bn |
| 8 | Relx | 72.15 Bn | 71.24 Bn | - |
| 9 | Thomson Reuters | 50.59 Bn | 47.38 Bn | - |
| 10 | Materialise | 485.83 Mn | -131.49 Mn | 46.23 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 286.02 Mn |
| Mar 31, 2026 | 139.33 Mn |
| Dec 31, 2025 | 170.41 Mn |
| Sep 30, 2025 | 174.03 Mn |
| Jun 30, 2025 | 196.76 Mn |
| Mar 31, 2025 | 177.76 Mn |
| Dec 31, 2024 | 309.28 Mn |
| Sep 30, 2024 | 193.86 Mn |
| Jun 30, 2024 | 161.47 Mn |
| Mar 31, 2024 | 172.67 Mn |
| Dec 31, 2023 | 246.81 Mn |
| Sep 30, 2023 | 182.75 Mn |
| Jun 30, 2023 | 362.18 Mn |
| Mar 31, 2023 | 335.68 Mn |
| Dec 31, 2022 | 369.52 Mn |
| Sep 30, 2022 | 484.50 Mn |
| Jun 30, 2022 | 628.79 Mn |
| Mar 31, 2022 | 953.56 Mn |
| Dec 31, 2021 | 1.19 Bn |
| Sep 30, 2021 | 862.64 Mn |
Materialise Enterprise Value 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=enterprise-value&ticker=MTLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=MTLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();