MTLS vs. SSYS
MTLS (Materialise NV) and SSYS (Stratasys Ltd.) are both stocks. Both are in the Technology sector — MTLS in Software - Application, SSYS in Computer Hardware. Over the past 10 years, MTLS returned -1.06%/yr vs -8.15%/yr for SSYS. At a 0.44 correlation, their price movements are largely independent.
Performance
MTLS vs. SSYS - Performance Comparison
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Returns By Period
In the year-to-date period, MTLS achieves a 19.10% return, which is significantly higher than SSYS's 13.48% return. Over the past 10 years, MTLS has outperformed SSYS with an annualized return of -1.06%, while SSYS has yielded a comparatively lower -8.15% annualized return.
MTLS
- 1D
- -4.06%
- 1M
- 18.88%
- YTD
- 19.10%
- 6M
- 9.26%
- 1Y
- 23.32%
- 3Y*
- -13.24%
- 5Y*
- -25.18%
- 10Y*
- -1.06%
SSYS
- 1D
- -6.19%
- 1M
- 12.70%
- YTD
- 13.48%
- 6M
- 9.69%
- 1Y
- -5.47%
- 3Y*
- -15.30%
- 5Y*
- -15.55%
- 10Y*
- -8.15%
MTLS vs. SSYS - Yearly Performance Comparison
| 2026 (YTD) | 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | |
|---|---|---|---|---|---|---|---|---|---|---|
MTLS Materialise NV | 19.10% | -21.16% | 7.24% | -25.40% | -63.13% | -55.97% | 196.07% | -8.59% | 57.59% | 65.49% |
SSYS Stratasys Ltd. | 13.48% | -2.36% | -37.75% | 20.40% | -51.57% | 18.19% | 2.45% | 12.30% | -9.77% | 20.68% |
Correlation
The correlation between MTLS and SSYS is 0.53, which is moderate. They share some common price drivers but move independently often enough to provide real diversification benefit when combined.
| Correlation | |
|---|---|
Correlation (1Y) Calculated over the trailing 1-year period | 0.53 |
Correlation (3Y) Calculated over the trailing 3-year period | 0.46 |
Correlation (5Y) Calculated over the trailing 5-year period | 0.56 |
Correlation (10Y) Calculated over the trailing 10-year period | 0.48 |
Correlation (All Time) Calculated using the full available price history since Jun 26, 2014 | 0.44 |
The correlation between MTLS and SSYS shifts across timeframes, from 0.44 (all time) to 0.56 (5 years), reflecting how their relationship changes across market environments.
Fundamentals
MTLS:
$389.10M
SSYS:
$850.62M
MTLS:
$0.18
SSYS:
-$1.35
MTLS:
1.40
SSYS:
1.53
MTLS:
1.52
SSYS:
1.03
MTLS:
$279.07M
SSYS:
$547.75M
MTLS:
$160.66M
SSYS:
$236.20M
MTLS:
$32.10M
SSYS:
-$72.69M
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Return for Risk
MTLS vs. SSYS — Risk / Return Rank
MTLS
SSYS
MTLS vs. SSYS - Risk-Adjusted Trends Comparison
This table presents a comparison of risk-adjusted performance metrics for Materialise NV (MTLS) and Stratasys Ltd. (SSYS). Risk-adjusted metrics are performance indicators that assess an investment's returns in relation to its risk, enabling a more accurate comparison of different investment options.
| MTLS | SSYS | Difference | |
|---|---|---|---|
| Sharpe ratioReturn per unit of total volatility | +0.60 | ||
| Sortino ratioReturn per unit of downside risk | +0.79 | ||
| Omega ratioGain probability vs. loss probability | 1.12 | 1.03 | +0.09 |
| Calmar ratioReturn relative to maximum drawdown | 0.86 | -0.14 | +1.00 |
| Martin ratioReturn relative to average drawdown | 1.59 | -0.26 | +1.85 |
Data is calculated on a 1-year rolling basis and updated daily. The trend shows the change in the indicator over the past month. | |||
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Sharpe Ratios by Period
| MTLS | SSYS | Difference | |
|---|---|---|---|
Sharpe Ratio (1Y)Calculated over the trailing 1-year period | 0.50 | -0.10 | +0.60 |
Sharpe Ratio (5Y)Calculated over the trailing 5-year period | -0.46 | -0.28 | -0.18 |
Sharpe Ratio (10Y)Calculated over the trailing 10-year period | -0.02 | -0.14 | +0.13 |
Sharpe Ratio (All Time)Calculated using the full available price history | -0.08 | 0.09 | -0.17 |
Drawdowns
MTLS vs. SSYS - Drawdown Comparison
The maximum MTLS drawdown since its inception was -94.84%, roughly equal to the maximum SSYS drawdown of -95.49%. Use the drawdown chart below to compare losses from any high point for MTLS and SSYS.
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Drawdown Indicators
| MTLS | SSYS | Difference | |
|---|---|---|---|
Max DrawdownLargest peak-to-trough decline | -94.84% | -95.49% | +0.65% |
Max Drawdown (1Y)Largest decline over 1 year | -27.27% | -40.35% | +13.08% |
Max Drawdown (3Y)Largest decline over 3 years | -58.52% | -71.08% | +12.56% |
Max Drawdown (5Y)Largest decline over 5 years | -85.40% | -83.39% | -2.01% |
Max Drawdown (10Y)Largest decline over 10 years | -94.84% | -88.67% | -6.17% |
Current DrawdownCurrent decline from peak | -91.80% | -92.78% | +0.98% |
Average DrawdownAverage peak-to-trough decline | -53.23% | -54.26% | +1.03% |
Ulcer IndexDepth and duration of drawdowns from previous peaks | 14.68% | 21.05% | -6.37% |
Volatility
MTLS vs. SSYS - Volatility Comparison
The current volatility for Materialise NV (MTLS) is 13.17%, while Stratasys Ltd. (SSYS) has a volatility of 19.78%. This indicates that MTLS experiences smaller price fluctuations and is considered to be less risky than SSYS based on this measure. The chart below showcases a comparison of their rolling one-month volatility.
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Volatility by Period
| MTLS | SSYS | Difference | |
|---|---|---|---|
Volatility (1M)Calculated over the trailing 1-month period | 13.17% | 19.78% | -6.61% |
Volatility (6M)Calculated over the trailing 6-month period | 30.33% | 36.36% | -6.03% |
Volatility (1Y)Calculated over the trailing 1-year period | 46.59% | 54.44% | -7.85% |
Volatility (5Y)Calculated over the trailing 5-year period, annualized | 54.93% | 55.39% | -0.46% |
Volatility (10Y)Calculated over the trailing 10-year period, annualized | 59.23% | 56.51% | +2.72% |
Dividends
MTLS vs. SSYS - Dividend Comparison
Neither MTLS nor SSYS has paid dividends to shareholders.
Financials
MTLS vs. SSYS - Financials Comparison
This section allows you to compare key financial metrics between Materialise NV and Stratasys Ltd.. You can select fields from income statements, balance sheets, and cash flow statements to easily visualize and compare the financial health of both companies.
Total Revenue: Total amount of money received from sales and other business activities
MTLS vs. SSYS - Profitability Comparison
MTLS - Gross Margin
Gross margin is calculated as gross profit divided by revenue. For the three months ending on Jun 2026, Materialise NV reported a gross profit of 37.89M and revenue of 66.28M. Therefore, the gross margin over that period was 57.2%.
SSYS - Gross Margin
Gross margin is calculated as gross profit divided by revenue. For the three months ending on Jun 2026, Stratasys Ltd. reported a gross profit of 56.25M and revenue of 132.70M. Therefore, the gross margin over that period was 42.4%.
MTLS - Operating Margin
Operating margin is calculated as operating income divided by revenue. For the three months ending on Jun 2026, Materialise NV reported an operating income of 2.09M and revenue of 66.28M, resulting in an operating margin of 3.2%.
SSYS - Operating Margin
Operating margin is calculated as operating income divided by revenue. For the three months ending on Jun 2026, Stratasys Ltd. reported an operating income of -24.31M and revenue of 132.70M, resulting in an operating margin of -18.3%.
MTLS - Net Margin
Net margin is calculated as net income divided by revenue. For the three months ending on Jun 2026, Materialise NV reported a net income of 1.82M and revenue of 66.28M, resulting in a net margin of 2.8%.
SSYS - Net Margin
Net margin is calculated as net income divided by revenue. For the three months ending on Jun 2026, Stratasys Ltd. reported a net income of -23.83M and revenue of 132.70M, resulting in a net margin of -18.0%.
Frequently Asked Questions
MTLS and SSYS have a correlation of 0.53, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.
SSYS has higher volatility (19.78%) compared to MTLS (13.17%). In terms of maximum drawdown, MTLS dropped -94.84% vs SSYS's -95.49%.
MTLS currently has the higher Sharpe Ratio (0.50 vs -0.10), meaning it's delivered slightly more return per unit of risk over the trailing 12 months. However, this ranking shifts over time - use the Risk/Return Score above for a more comprehensive view that combines Sharpe, Sortino, and other measures used by quantitative funds.
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