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

Performance

IBM vs. PRU - Performance Comparison

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

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Returns By Period

In the year-to-date period, IBM achieves a -29.62% return, which is significantly lower than PRU's 8.17% return. Over the past 10 years, IBM has underperformed PRU with an annualized return of 7.27%, while PRU has yielded a comparatively higher 9.47% annualized return.


IBM

1D
-2.25%
1M
-18.42%
6M
-29.94%
YTD
-29.62%
1Y
-25.16%
3Y*
17.72%
5Y*
13.12%
10Y*
7.27%
ALL TIME*
6.94%

PRU

1D
0.22%
1M
9.78%
6M
11.52%
YTD
8.17%
1Y
20.23%
3Y*
13.31%
5Y*
8.78%
10Y*
9.47%
ALL TIME*
9.21%
*Multi-year figures are annualized to reflect compound growth (CAGR)

Liquidity Comparison


PositionAvg. Volume Value (2W)Avg. Volume Value (1M)Avg. Volume Value (3M)
$4.16B$3.21B$2.77B
$197.49M$193.37M$203.54M

IBM vs. PRU - Yearly Performance Comparison


2026 (YTD)202520242023202220212020201920182017
IBM
International Business Machines Corporation
-29.62%38.23%39.27%21.85%10.64%16.65%-1.16%23.58%-22.56%-3.99%
PRU
Prudential Financial, Inc.
8.17%0.18%19.46%10.09%-3.86%45.32%-11.40%20.10%-26.46%13.65%

Correlation

The correlation between IBM and PRU is 0.30, which is low. Their price movements are largely independent, making them effective diversification partners.


Correlation
Correlation (1Y)
Calculated over the trailing 1-year period

0.30

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

0.31

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

0.41

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

0.47

Correlation (All Time)
Calculated using the full available price history since Dec 13, 2001

0.47

The correlation between IBM and PRU shifts across timeframes, from 0.30 (1 year) to 0.47 (10 years), reflecting how their relationship changes across market environments.

Fundamentals

Market Cap

IBM:

$193.40B

PRU:

$41.24B

EPS

IBM:

$11.27

PRU:

$9.88

PE Ratio

IBM:

18.26

PRU:

12.03

PEG Ratio

IBM:

0.22

PRU:

0.50

PS Ratio

IBM:

2.83

PRU:

0.88

Total Revenue (TTM)

IBM:

$69.10B

PRU:

$47.43B

Gross Profit (TTM)

IBM:

$40.57B

PRU:

$14.72B

EBITDA (TTM)

IBM:

$14.95B

PRU:

$4.02B

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Return for Risk

IBM vs. PRU — Risk / Return Rank

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

IBM
IBM Risk / Return Rank: 1818
Overall Rank
IBM Sharpe Ratio Rank: 2222
Sharpe Ratio Rank
IBM Sortino Ratio Rank: 2424
Sortino Ratio Rank
IBM Omega Ratio Rank: 2222
Omega Ratio Rank
IBM Calmar Ratio Rank: 2020
Calmar Ratio Rank
IBM Martin Ratio Rank: 44
Martin Ratio Rank

PRU
PRU Risk / Return Rank: 6767
Overall Rank
PRU Sharpe Ratio Rank: 7373
Sharpe Ratio Rank
PRU Sortino Ratio Rank: 6565
Sortino Ratio Rank
PRU Omega Ratio Rank: 6565
Omega Ratio Rank
PRU Calmar Ratio Rank: 6666
Calmar Ratio Rank
PRU Martin Ratio Rank: 6666
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.

IBM vs. PRU - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for International Business Machines Corporation (IBM) and Prudential Financial, Inc. (PRU). 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.


IBMPRUDifference
Sharpe ratioReturn per unit of total volatility

-1.41

Sortino ratioReturn per unit of downside risk

-1.69

Omega ratioGain probability vs. loss probability

0.93

1.17

-0.24

Calmar ratioReturn relative to maximum drawdown

-0.67

0.95

-1.62

Martin ratioReturn relative to average drawdown

-1.61

2.05

-3.66

IBM vs. PRU - Sharpe Ratio Comparison

The current IBM Sharpe Ratio is -0.52, which is lower than the PRU Sharpe Ratio of 0.89. The chart below compares the historical Sharpe Ratios of IBM and PRU, 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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Drawdowns

IBM vs. PRU - Drawdown Comparison

The maximum IBM drawdown since its inception was -69.40%, smaller than the maximum PRU drawdown of -88.53%. Use the drawdown chart below to compare losses from any high point for IBM and PRU.


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Drawdown Indicators


IBMPRUDifference

Max Drawdown

Largest peak-to-trough decline

-69.40%

-88.53%

+19.13%

Max Drawdown (1Y)

Largest decline over 1 year

-37.50%

-21.46%

-16.04%

Max Drawdown (3Y)

Largest decline over 3 years

-37.50%

-25.66%

-11.84%

Max Drawdown (5Y)

Largest decline over 5 years

-37.50%

-33.11%

-4.39%

Max Drawdown (10Y)

Largest decline over 10 years

-40.59%

-65.89%

+25.30%

Current Drawdown

Current decline from peak

-37.50%

-0.83%

-36.67%

Average Drawdown

Average peak-to-trough decline

-20.12%

-18.26%

-1.86%

Ulcer Index

Depth and duration of drawdowns from previous peaks

15.64%

9.88%

+5.76%

Volatility

IBM vs. PRU - Volatility Comparison

International Business Machines Corporation (IBM) has a higher volatility of 31.68% compared to Prudential Financial, Inc. (PRU) at 6.41%. This indicates that IBM's price experiences larger fluctuations and is considered to be riskier than PRU based on this measure. The chart below showcases a comparison of their rolling one-month volatility.


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Volatility by Period


IBMPRUDifference

Volatility (1M)

Calculated over the trailing 1-month period

31.68%

6.41%

+25.27%

Volatility (6M)

Calculated over the trailing 6-month period

46.08%

17.44%

+28.64%

Volatility (1Y)

Calculated over the trailing 1-year period

48.33%

22.99%

+25.34%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

29.88%

25.58%

+4.30%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

27.98%

31.67%

-3.69%

Dividends

IBM vs. PRU - Dividend Comparison

IBM's dividend yield for the trailing twelve months is around 3.27%, less than PRU's 4.63% yield.


PositionTTM20252024202320222021202020192018201720162015
IBM
International Business Machines Corporation
3.27%2.27%3.03%4.05%4.68%4.74%5.17%4.80%5.46%3.85%3.31%3.63%
PRU
Prudential Financial, Inc.
4.63%4.78%4.39%4.82%4.83%4.25%5.64%4.27%4.41%2.61%2.69%3.00%

Financials

IBM vs. PRU - Financials Comparison

This section allows you to compare key financial metrics between International Business Machines Corporation and Prudential Financial, Inc.. 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
17.16B
0
(IBM) Total Revenue
(PRU) Total Revenue
Values in USD except per share items

Frequently Asked Questions


IBM and PRU have a correlation of 0.30, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.

IBM has higher volatility (31.68%) compared to PRU (6.41%). In terms of maximum drawdown, IBM dropped -69.40% vs PRU's -88.53%.

PRU currently has the higher Sharpe Ratio (0.89 vs -0.52), 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

Find the right allocation for IBM and PRU

Add both to a portfolio and optimize allocations for your target — whether that's maximizing returns, minimizing drawdowns, or balancing risk across holdings.

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