SMNEY vs. MP
SMNEY (Siemens Energy AG) and MP (MP Materials Corp.) are both stocks. SMNEY operates in Specialty Industrial Machinery (Industrials), while MP operates in Other Industrial Metals & Mining (Basic Materials). At a 0.27 correlation, their price movements are largely independent.
Performance
SMNEY vs. MP - Performance Comparison
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Returns By Period
SMNEY
- 1D
- —
- 1M
- —
- YTD
- —
- 6M
- —
- 1Y
- —
- 3Y*
- —
- 5Y*
- —
- 10Y*
- —
MP
- 1D
- -2.70%
- 1M
- -14.61%
- YTD
- 13.97%
- 6M
- -5.92%
- 1Y
- 124.05%
- 3Y*
- 38.10%
- 5Y*
- 11.32%
- 10Y*
- —
SMNEY vs. MP - Yearly Performance Comparison
| 2026 (YTD) | 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | |
|---|---|---|---|---|---|---|---|
SMNEY Siemens Energy AG | 25.32% | 167.97% | 298.17% | -29.76% | -27.66% | -31.90% | 21.11% |
MP MP Materials Corp. | 13.97% | 223.85% | -21.41% | -18.25% | -46.54% | 41.19% | 21.72% |
Correlation
The correlation between SMNEY and MP is 0.07, meaning there is essentially no relationship between their price movements. Each responds to its own set of market drivers, making them strong candidates for combining in a diversified portfolio.
| Correlation | |
|---|---|
Correlation (1Y) Calculated over the trailing 1-year period | 0.07 |
Correlation (3Y) Calculated over the trailing 3-year period | 0.20 |
Correlation (5Y) Calculated over the trailing 5-year period | 0.27 |
Correlation (All Time) Calculated using the full available price history since Dec 14, 2020 | 0.27 |
Over the past year, the correlation between SMNEY and MP has dropped to 0.07 - well below their long-term average of 0.27, suggesting their price drivers have been diverging.
Fundamentals
SMNEY:
$2.16
MP:
-$0.53
SMNEY:
3.93
MP:
25.37
SMNEY:
$39.81B
MP:
$305.30M
SMNEY:
$7.27B
MP:
$25.30M
SMNEY:
$4.73B
MP:
$1.52M
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Return for Risk
SMNEY vs. MP — Risk / Return Rank
SMNEY
MP
SMNEY vs. MP - Risk-Adjusted Trends Comparison
This table presents a comparison of risk-adjusted performance metrics for Siemens Energy AG (SMNEY) and MP Materials Corp. (MP). 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.
Risk / return metrics aren't available yet — we need at least 12 months of trading data to calculate them.
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Sharpe Ratios by Period
| SMNEY | MP | Difference | |
|---|---|---|---|
Sharpe Ratio (1Y)Calculated over the trailing 1-year period | — | 1.33 | — |
Sharpe Ratio (5Y)Calculated over the trailing 5-year period | — | 0.16 | — |
Sharpe Ratio (All Time)Calculated using the full available price history | — | 0.47 | — |
Drawdowns
SMNEY vs. MP - Drawdown Comparison
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Drawdown Indicators
| SMNEY | MP | Difference | |
|---|---|---|---|
Max DrawdownLargest peak-to-trough decline | — | -81.99% | — |
Max Drawdown (1Y)Largest decline over 1 year | — | -53.79% | — |
Max Drawdown (3Y)Largest decline over 3 years | — | -59.47% | — |
Max Drawdown (5Y)Largest decline over 5 years | — | -81.99% | — |
Current DrawdownCurrent decline from peak | — | -41.63% | — |
Average DrawdownAverage peak-to-trough decline | — | -42.62% | — |
Ulcer IndexDepth and duration of drawdowns from previous peaks | — | 31.68% | — |
Volatility
SMNEY vs. MP - Volatility Comparison
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Volatility by Period
| SMNEY | MP | Difference | |
|---|---|---|---|
Volatility (1M)Calculated over the trailing 1-month period | — | 22.35% | — |
Volatility (6M)Calculated over the trailing 6-month period | — | 51.12% | — |
Volatility (1Y)Calculated over the trailing 1-year period | — | 93.82% | — |
Volatility (5Y)Calculated over the trailing 5-year period, annualized | — | 69.62% | — |
Volatility (10Y)Calculated over the trailing 10-year period, annualized | — | 72.68% | — |
Dividends
SMNEY vs. MP - Dividend Comparison
Neither SMNEY nor MP has paid dividends to shareholders.
| Position | TTM | 2025 | 2024 | 2023 | 2022 |
|---|---|---|---|---|---|
MP MP Materials Corp. | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
SMNEY Siemens Energy AG | 0.00% | 0.00% | 0.00% | 0.00% | 0.61% |
Financials
SMNEY vs. MP - Financials Comparison
This section allows you to compare key financial metrics between Siemens Energy AG and MP Materials Corp.. 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
SMNEY vs. MP - Profitability Comparison
SMNEY - Gross Margin
Gross margin is calculated as gross profit divided by revenue. For the three months ending on Jun 2026, Siemens Energy AG reported a gross profit of 2.09B and revenue of 9.68B. Therefore, the gross margin over that period was 21.6%.
MP - Gross Margin
Gross margin is calculated as gross profit divided by revenue. For the three months ending on Jun 2026, MP Materials Corp. reported a gross profit of 0.00 and revenue of 90.65M. Therefore, the gross margin over that period was 0.0%.
SMNEY - Operating Margin
Operating margin is calculated as operating income divided by revenue. For the three months ending on Jun 2026, Siemens Energy AG reported an operating income of 962.00M and revenue of 9.68B, resulting in an operating margin of 9.9%.
MP - Operating Margin
Operating margin is calculated as operating income divided by revenue. For the three months ending on Jun 2026, MP Materials Corp. reported an operating income of 0.00 and revenue of 90.65M, resulting in an operating margin of 0.0%.
SMNEY - Net Margin
Net margin is calculated as net income divided by revenue. For the three months ending on Jun 2026, Siemens Energy AG reported a net income of 677.00M and revenue of 9.68B, resulting in a net margin of 7.0%.
MP - Net Margin
Net margin is calculated as net income divided by revenue. For the three months ending on Jun 2026, MP Materials Corp. reported a net income of -7.97M and revenue of 90.65M, resulting in a net margin of -8.8%.
Frequently Asked Questions
SMNEY and MP have a correlation of 0.07, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.
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