SPY vs. IBM
SPY (State Street SPDR S&P 500 ETF) is S&P 500 fund tracking the S&P 500 Index, while IBM (International Business Machines Corporation) is a stock. Over the past 10 years, SPY returned 14.90%/yr vs 7.64%/yr for IBM. A 0.56 correlation means they provide meaningful diversification when combined.
Performance
SPY vs. IBM - Performance Comparison
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Returns By Period
In the year-to-date period, SPY achieves a 9.40% return, which is significantly higher than IBM's -27.15% return. Over the past 10 years, SPY has outperformed IBM with an annualized return of 14.90%, while IBM has yielded a comparatively lower 7.64% annualized return.
SPY
- 1D
- -0.16%
- 1M
- -0.62%
- 6M
- 7.86%
- YTD
- 9.40%
- 1Y
- 19.56%
- 3Y*
- 19.43%
- 5Y*
- 12.81%
- 10Y*
- 14.90%
- ALL TIME*
- 10.78%
IBM
- 1D
- 0.16%
- 1M
- -14.49%
- 6M
- -29.40%
- YTD
- -27.15%
- 1Y
- -23.58%
- 3Y*
- 19.09%
- 5Y*
- 13.91%
- 10Y*
- 7.64%
- ALL TIME*
- 7.00%
SPY vs. IBM - Yearly Performance Comparison
| 2026 (YTD) | 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | |
|---|---|---|---|---|---|---|---|---|---|---|
SPY State Street SPDR S&P 500 ETF | 9.40% | 17.72% | 24.89% | 26.18% | -18.18% | 28.73% | 18.33% | 31.22% | -4.57% | 21.71% |
IBM International Business Machines Corporation | -27.15% | 38.23% | 39.27% | 21.85% | 10.64% | 16.65% | -1.16% | 23.58% | -22.56% | -3.99% |
Correlation
The correlation between SPY and IBM is 0.28, which is low. Their price movements are largely independent, making them effective diversification partners.
| Correlation | |
|---|---|
Correlation (1Y) Calculated over the trailing 1-year period | 0.28 |
Correlation (3Y) Calculated over the trailing 3-year period | 0.41 |
Correlation (5Y) Calculated over the trailing 5-year period | 0.46 |
Correlation (10Y) Calculated over the trailing 10-year period | 0.54 |
Correlation (All Time) Calculated using the full available price history since Jan 29, 1993 | 0.57 |
Over the past year, the correlation between SPY and IBM has dropped to 0.28 - well below their long-term average of 0.56, suggesting their price drivers have been diverging.
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Return for Risk
SPY vs. IBM — Risk / Return Rank
SPY
IBM
SPY vs. IBM - Risk-Adjusted Trends Comparison
This table presents a comparison of risk-adjusted performance metrics for State Street SPDR S&P 500 ETF (SPY) and International Business Machines Corporation (IBM). 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.
Values are calculated on a 1-year rolling basis and updated daily. Risk-adjusted metrics are more stable over longer periods — use the period switch above to explore them.
| SPY | IBM | Difference | |
|---|---|---|---|
| Sharpe ratioReturn per unit of total volatility | +2.05 | ||
| Sortino ratioReturn per unit of downside risk | +2.55 | ||
| Omega ratioGain probability vs. loss probability | 1.28 | 0.94 | +0.34 |
| Calmar ratioReturn relative to maximum drawdown | 2.21 | -0.66 | +2.87 |
| Martin ratioReturn relative to average drawdown | 9.59 | -1.53 | +11.13 |
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Drawdowns
SPY vs. IBM - Drawdown Comparison
The maximum SPY drawdown since its inception was -55.19%, smaller than the maximum IBM drawdown of -69.40%. Use the drawdown chart below to compare losses from any high point for SPY and IBM.
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Drawdown Indicators
| SPY | IBM | Difference | |
|---|---|---|---|
Max DrawdownLargest peak-to-trough decline | -55.19% | -69.40% | +14.21% |
Max Drawdown (1Y)Largest decline over 1 year | -8.88% | -35.85% | +26.97% |
Max Drawdown (3Y)Largest decline over 3 years | -18.76% | -35.85% | +17.09% |
Max Drawdown (5Y)Largest decline over 5 years | -24.50% | -35.85% | +11.35% |
Max Drawdown (10Y)Largest decline over 10 years | -33.72% | -40.59% | +6.87% |
Current DrawdownCurrent decline from peak | -2.05% | -35.30% | +33.25% |
Average DrawdownAverage peak-to-trough decline | -9.02% | -20.12% | +11.10% |
Ulcer IndexDepth and duration of drawdowns from previous peaks | 2.04% | 15.44% | -13.40% |
Volatility
SPY vs. IBM - Volatility Comparison
The current volatility for State Street SPDR S&P 500 ETF (SPY) is 3.45%, while International Business Machines Corporation (IBM) has a volatility of 32.02%. This indicates that SPY experiences smaller price fluctuations and is considered to be less risky than IBM based on this measure. The chart below showcases a comparison of their rolling one-month volatility.
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Volatility by Period
| SPY | IBM | Difference | |
|---|---|---|---|
Volatility (1M)Calculated over the trailing 1-month period | 3.45% | 32.02% | -28.57% |
Volatility (6M)Calculated over the trailing 6-month period | 10.06% | 46.34% | -36.28% |
Volatility (1Y)Calculated over the trailing 1-year period | 12.64% | 48.36% | -35.72% |
Volatility (5Y)Calculated over the trailing 5-year period, annualized | 17.15% | 29.86% | -12.71% |
Volatility (10Y)Calculated over the trailing 10-year period, annualized | 17.94% | 27.97% | -10.03% |
Dividends
SPY vs. IBM - Dividend Comparison
SPY's dividend yield for the trailing twelve months is around 1.01%, less than IBM's 3.16% yield.
| Position | TTM | 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
IBM International Business Machines Corporation | 3.16% | 2.27% | 3.03% | 4.05% | 4.68% | 4.74% | 5.17% | 4.80% | 5.46% | 3.85% | 3.31% | 3.63% |
SPY State Street SPDR S&P 500 ETF | 1.01% | 1.07% | 1.21% | 1.40% | 1.65% | 1.20% | 1.52% | 1.75% | 2.04% | 1.80% | 2.03% | 2.06% |
Frequently Asked Questions
SPY and IBM have a correlation of 0.28, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.
IBM has higher volatility (32.02%) compared to SPY (3.45%). In terms of maximum drawdown, SPY dropped -55.19% vs IBM's -69.40%.
SPY currently has the higher Sharpe Ratio (1.56 vs -0.49), 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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