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STX vs. IBM
Performance
Return for Risk
Drawdowns
Volatility
Dividends
Financials

Performance

STX vs. IBM - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in Seagate Technology plc (STX) and International Business Machines Corporation (IBM). The values are adjusted to include any dividend payments, if applicable.

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Returns By Period

In the year-to-date period, STX achieves a 218.93% return, which is significantly higher than IBM's -3.95% return. Over the past 10 years, STX has outperformed IBM with an annualized return of 49.93%, while IBM has yielded a comparatively lower 11.34% annualized return.


STX

1D
3.46%
1M
12.03%
YTD
218.93%
6M
208.54%
1Y
599.43%
3Y*
149.84%
5Y*
59.24%
10Y*
49.93%

IBM

1D
-1.41%
1M
22.22%
YTD
-3.95%
6M
-7.98%
1Y
7.12%
3Y*
31.74%
5Y*
18.84%
10Y*
11.34%
*Multi-year figures are annualized to reflect compound growth (CAGR)

STX vs. IBM - Yearly Performance Comparison


2026 (YTD)202520242023202220212020201920182017
STX
Seagate Technology plc
218.93%225.26%4.06%69.12%-51.42%87.50%10.14%62.14%-2.90%16.67%
IBM
International Business Machines Corporation
-3.95%38.23%39.27%21.85%10.64%16.65%-1.16%23.58%-22.56%-3.99%

Correlation

The correlation between STX and IBM is 0.10, 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

0.10

Correlation (3Y)
Calculated over the trailing 3-year period

0.24

Correlation (5Y)
Calculated over the trailing 5-year period

0.31

Correlation (10Y)
Calculated over the trailing 10-year period

0.38

Correlation (All Time)
Calculated using the full available price history since Dec 12, 2002

0.39

Over the past year, the correlation between STX and IBM has dropped to 0.10 - well below their long-term average of 0.39, suggesting their price drivers have been diverging.

Fundamentals

Market Cap

STX:

$199.90B

IBM:

$267.37B

EPS

STX:

$10.58

IBM:

$11.32

PE Ratio

STX:

82.87

IBM:

24.81

PEG Ratio

STX:

0.99

IBM:

0.30

PS Ratio

STX:

17.90

IBM:

3.87

PB Ratio

STX:

182.56

IBM:

8.11

Total Revenue (TTM)

STX:

$11.01B

IBM:

$68.91B

Gross Profit (TTM)

STX:

$4.57B

IBM:

$40.64B

EBITDA (TTM)

STX:

$2.59B

IBM:

$15.71B

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Return for Risk

STX vs. IBM — Risk / Return Rank

Compare risk-adjusted metric ranks to identify better-performing investments over the past 12 months.

STX
STX Risk / Return Rank: 9999
Overall Rank
STX Sharpe Ratio Rank: 100100
Sharpe Ratio Rank
STX Sortino Ratio Rank: 9999
Sortino Ratio Rank
STX Omega Ratio Rank: 9898
Omega Ratio Rank
STX Calmar Ratio Rank: 100100
Calmar Ratio Rank
STX Martin Ratio Rank: 100100
Martin Ratio Rank

IBM
IBM Risk / Return Rank: 4747
Overall Rank
IBM Sharpe Ratio Rank: 4848
Sharpe Ratio Rank
IBM Sortino Ratio Rank: 4444
Sortino Ratio Rank
IBM Omega Ratio Rank: 4545
Omega Ratio Rank
IBM Calmar Ratio Rank: 4848
Calmar Ratio Rank
IBM Martin Ratio Rank: 4848
Martin Ratio Rank
The rank (0–100) shows how this investment's returns compare to the risk taken. Higher = better. Based on the past 12 months of data, combining Sharpe, Sortino, and other metrics used by quantitative funds and institutional investors.

STX vs. IBM - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for Seagate Technology plc (STX) 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.


STXIBMDifference
Sharpe ratioReturn per unit of total volatility

+9.36

Sortino ratioReturn per unit of downside risk

+5.65

Omega ratioGain probability vs. loss probability

1.80

1.07

+0.72

Calmar ratioReturn relative to maximum drawdown

28.81

0.23

+28.58

Martin ratioReturn relative to average drawdown

84.36

0.50

+83.86

STX vs. IBM - Sharpe Ratio Comparison

The current STX Sharpe Ratio is 9.54, which is higher than the IBM Sharpe Ratio of 0.18. The chart below compares the historical Sharpe Ratios of STX and IBM, calculated using daily returns over the previous 12 months. A higher Sharpe Ratio indicates better risk-adjusted performance relative to the risk-free rate.


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Sharpe Ratios by Period


STXIBMDifference

Sharpe Ratio (1Y)

Calculated over the trailing 1-year period

9.54

0.18

+9.36

Sharpe Ratio (5Y)

Calculated over the trailing 5-year period

1.34

0.70

+0.64

Sharpe Ratio (10Y)

Calculated over the trailing 10-year period

1.19

0.43

+0.76

Sharpe Ratio (All Time)

Calculated using the full available price history

0.53

0.29

+0.24

Drawdowns

STX vs. IBM - Drawdown Comparison

The maximum STX drawdown since its inception was -88.74%, which is greater than IBM's maximum drawdown of -69.40%. Use the drawdown chart below to compare losses from any high point for STX and IBM.


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Drawdown Indicators


STXIBMDifference

Max Drawdown

Largest peak-to-trough decline

-88.74%

-69.40%

-19.34%

Max Drawdown (1Y)

Largest decline over 1 year

-21.00%

-30.96%

+9.96%

Max Drawdown (3Y)

Largest decline over 3 years

-40.00%

-30.96%

-9.04%

Max Drawdown (5Y)

Largest decline over 5 years

-56.99%

-30.96%

-26.03%

Max Drawdown (10Y)

Largest decline over 10 years

-56.99%

-40.59%

-16.40%

Current Drawdown

Current decline from peak

-6.80%

-14.70%

+7.90%

Average Drawdown

Average peak-to-trough decline

-26.45%

-20.12%

-6.33%

Ulcer Index

Depth and duration of drawdowns from previous peaks

7.16%

14.23%

-7.07%

Volatility

STX vs. IBM - Volatility Comparison

The current volatility for Seagate Technology plc (STX) is 17.98%, while International Business Machines Corporation (IBM) has a volatility of 21.84%. This indicates that STX 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


STXIBMDifference

Volatility (1M)

Calculated over the trailing 1-month period

17.98%

21.84%

-3.86%

Volatility (6M)

Calculated over the trailing 6-month period

49.95%

34.54%

+15.41%

Volatility (1Y)

Calculated over the trailing 1-year period

63.55%

39.53%

+24.02%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

44.63%

27.15%

+17.48%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

42.18%

26.59%

+15.59%

Dividends

STX vs. IBM - Dividend Comparison

STX's dividend yield for the trailing twelve months is around 0.33%, less than IBM's 2.40% yield.


PositionTTM20252024202320222021202020192018201720162015
IBM
International Business Machines Corporation
2.40%2.27%3.03%4.05%4.68%4.74%5.17%4.80%5.46%3.85%3.31%3.63%
STX
Seagate Technology plc
0.33%1.05%3.27%3.28%5.32%2.40%4.21%4.27%6.53%6.02%6.60%6.14%

Financials

STX vs. IBM - Financials Comparison

This section allows you to compare key financial metrics between Seagate Technology plc and International Business Machines Corporation. You can select fields from income statements, balance sheets, and cash flow statements to easily visualize and compare the financial health of both companies.


Quarterly
Annual

Total Revenue: Total amount of money received from sales and other business activities


0.005.00B10.00B15.00B20.00B20222023202420252026
3.11B
15.92B
(STX) Total Revenue
(IBM) Total Revenue
Values in USD except per share items

STX vs. IBM - Profitability Comparison

The chart below illustrates the profitability comparison between Seagate Technology plc and International Business Machines Corporation over time, highlighting three key metrics: Gross Profit Margin, Operating Margin, and Net Profit Margin.

Gross Margin
Operating Margin
Net Margin
Quarterly
Annual

10.0%20.0%30.0%40.0%50.0%60.0%20222023202420252026
46.5%
56.2%
Portfolio components
STX - Gross Margin

Gross margin is calculated as gross profit divided by revenue. For the three months ending on Jun 2026, Seagate Technology plc reported a gross profit of 1.45B and revenue of 3.11B. Therefore, the gross margin over that period was 46.5%.

IBM - Gross Margin

Gross margin is calculated as gross profit divided by revenue. For the three months ending on Jun 2026, International Business Machines Corporation reported a gross profit of 8.95B and revenue of 15.92B. Therefore, the gross margin over that period was 56.2%.

STX - Operating Margin

Operating margin is calculated as operating income divided by revenue. For the three months ending on Jun 2026, Seagate Technology plc reported an operating income of 982.00M and revenue of 3.11B, resulting in an operating margin of 31.6%.

IBM - Operating Margin

Operating margin is calculated as operating income divided by revenue. For the three months ending on Jun 2026, International Business Machines Corporation reported an operating income of 1.22B and revenue of 15.92B, resulting in an operating margin of 7.6%.

STX - Net Margin

Net margin is calculated as net income divided by revenue. For the three months ending on Jun 2026, Seagate Technology plc reported a net income of 748.00M and revenue of 3.11B, resulting in a net margin of 24.0%.

IBM - Net Margin

Net margin is calculated as net income divided by revenue. For the three months ending on Jun 2026, International Business Machines Corporation reported a net income of 1.22B and revenue of 15.92B, resulting in a net margin of 7.6%.


Frequently Asked Questions


STX and IBM have a correlation of 0.10, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.

IBM has higher volatility (21.84%) compared to STX (17.98%). In terms of maximum drawdown, STX dropped -88.74% vs IBM's -69.40%.

STX currently has the higher Sharpe Ratio (9.54 vs 0.18), 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.

Portfolio Optimizer

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