Materialise (MTLS) Asset Utilization Ratio (2014 - 2026)
Materialise's Asset Utilization Ratio was 0.65 in the quarter ended Jun 30, 2026, down 1.9% from 0.67 a year earlier but up 3.0% from the prior quarter.
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Analysis
Materialise (MTLS) Asset Utilization Ratio (2014 - 2026) Analysis & Trends
For the year ended Dec 31, 2025, Asset Utilization Ratio at Materialise came in at 0.67, down 0.6% from the prior year.
- In earlier years, Asset Utilization Ratio was 0.67 in the year ended Dec 31, 2024 (+3.1%), 0.65 in the year ended Dec 31, 2023 (+343.6%), 0.15 in the year ended Dec 31, 2022 (-72.8%) and 0.54 in the year ended Dec 31, 2021 (+271.0%).
- Quarterly Asset Utilization Ratio has moved between 0.50 (the quarter ended Dec 31, 2021) and 0.69 (the quarter ended Mar 31, 2025) over five years.
- Compared with a year earlier, Asset Utilization Ratio has declined for four straight quarters, with an average decline of 0.7% over the last eight quarters.
- The best year-over-year quarter for Asset Utilization Ratio over five years was the quarter ended Dec 31, 2022 (growth of 15.3%); the worst was the quarter ended Mar 31, 2026 (a decline of 8.8%).
- Per Business Quant data, MTLS's Asset Utilization Ratio in the three quarters before the quarter ended Jun 30, 2026 was 0.63 (quarter ended Mar 31, 2026), 0.62 (quarter ended Dec 31, 2025) and 0.62 (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Asset Util. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 0.56 |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 0.25 |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 0.51 |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 0.41 |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 0.53 |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 0.34 |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 0.56 |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 0.01 |
| 10 | Materialise | 506.80 Mn | 506.70 Mn | 46.23 Mn | 0.65 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.65 |
| Mar 31, 2026 | 0.63 |
| Dec 31, 2025 | 0.62 |
| Sep 30, 2025 | 0.62 |
| Jun 30, 2025 | 0.67 |
| Mar 31, 2025 | 0.69 |
| Dec 31, 2024 | 0.67 |
| Sep 30, 2024 | 0.67 |
| Jun 30, 2024 | 0.65 |
| Mar 31, 2024 | 0.64 |
| Dec 31, 2023 | 0.65 |
| Sep 30, 2023 | 0.63 |
| Jun 30, 2023 | 0.61 |
| Mar 31, 2023 | 0.59 |
| Dec 31, 2022 | 0.58 |
| Sep 30, 2022 | 0.55 |
| Jun 30, 2022 | 0.53 |
| Mar 31, 2022 | 0.52 |
| Dec 31, 2021 | 0.50 |
| Sep 30, 2021 | 0.52 |
API Access
Materialise Asset Utilization Ratio 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=asset-utilization-ratio&ticker=MTLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-utilization-ratio", "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=asset-utilization-ratio&ticker=MTLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();