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SHOP vs. JNJ
Performance
Return for Risk
Drawdowns
Volatility
Dividends
Financials

Performance

SHOP vs. JNJ - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in Shopify Inc. (SHOP) and Johnson & Johnson (JNJ). The values are adjusted to include any dividend payments, if applicable.

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Returns By Period

In the year-to-date period, SHOP achieves a -31.18% return, which is significantly lower than JNJ's 13.43% return. Over the past 10 years, SHOP has outperformed JNJ with an annualized return of 44.31%, while JNJ has yielded a comparatively lower 10.06% annualized return.


SHOP

1D
1.13%
1M
0.34%
YTD
-31.18%
6M
-30.07%
1Y
-0.57%
3Y*
21.77%
5Y*
-1.84%
10Y*
44.31%

JNJ

1D
-0.26%
1M
5.50%
YTD
13.43%
6M
16.43%
1Y
53.49%
3Y*
16.56%
5Y*
10.04%
10Y*
10.06%
*Multi-year figures are annualized to reflect compound growth (CAGR)

SHOP vs. JNJ - Yearly Performance Comparison


2026 (YTD)202520242023202220212020201920182017
SHOP
Shopify Inc.
-31.18%51.39%36.50%124.43%-74.80%21.68%184.71%187.17%37.08%135.60%
JNJ
Johnson & Johnson
13.43%47.48%-4.81%-8.58%5.97%11.44%10.82%16.22%-5.13%24.43%

Correlation

The correlation between SHOP and JNJ is -0.19, meaning they tend to move in opposite directions. This is especially valuable for risk management - when one declines, the other has historically tended to hold steady or rise.


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

-0.19

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

-0.10

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

-0.02

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

0.06

Correlation (All Time)
Calculated using the full available price history since May 21, 2015

0.06

The correlation between SHOP and JNJ shifts across timeframes, from -0.19 (1 year) to 0.06 (all time), reflecting how their relationship changes across market environments.

Fundamentals

Market Cap

SHOP:

$144.39B

JNJ:

$567.68B

EPS

SHOP:

$1.02

JNJ:

$8.65

PE Ratio

SHOP:

108.75

JNJ:

26.85

PEG Ratio

SHOP:

0.21

JNJ:

0.89

PS Ratio

SHOP:

15.75

JNJ:

5.86

PB Ratio

SHOP:

11.55

JNJ:

6.99

Total Revenue (TTM)

SHOP:

$9.20B

JNJ:

$96.36B

Gross Profit (TTM)

SHOP:

$5.93B

JNJ:

$66.60B

EBITDA (TTM)

SHOP:

$1.60B

JNJ:

$31.62B

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Return for Risk

SHOP vs. JNJ — Risk / Return Rank

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

SHOP
SHOP Risk / Return Rank: 4141
Overall Rank
SHOP Sharpe Ratio Rank: 4242
Sharpe Ratio Rank
SHOP Sortino Ratio Rank: 4040
Sortino Ratio Rank
SHOP Omega Ratio Rank: 4040
Omega Ratio Rank
SHOP Calmar Ratio Rank: 4242
Calmar Ratio Rank
SHOP Martin Ratio Rank: 4141
Martin Ratio Rank

JNJ
JNJ Risk / Return Rank: 9595
Overall Rank
JNJ Sharpe Ratio Rank: 9696
Sharpe Ratio Rank
JNJ Sortino Ratio Rank: 9797
Sortino Ratio Rank
JNJ Omega Ratio Rank: 9595
Omega Ratio Rank
JNJ Calmar Ratio Rank: 9292
Calmar Ratio Rank
JNJ Martin Ratio Rank: 9393
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.

SHOP vs. JNJ - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for Shopify Inc. (SHOP) and Johnson & Johnson (JNJ). 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.


SHOPJNJDifference
Sharpe ratioReturn per unit of total volatility

-3.20

Sortino ratioReturn per unit of downside risk

-4.25

Omega ratioGain probability vs. loss probability

1.05

1.57

-0.52

Calmar ratioReturn relative to maximum drawdown

-0.01

4.91

-4.92

Martin ratioReturn relative to average drawdown

-0.03

14.52

-14.54

SHOP vs. JNJ - Sharpe Ratio Comparison

The current SHOP Sharpe Ratio is -0.01, which is lower than the JNJ Sharpe Ratio of 3.19. The chart below compares the historical Sharpe Ratios of SHOP and JNJ, 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


SHOPJNJDifference

Sharpe Ratio (1Y)

Calculated over the trailing 1-year period

-0.01

3.19

-3.20

Sharpe Ratio (5Y)

Calculated over the trailing 5-year period

-0.03

0.60

-0.63

Sharpe Ratio (10Y)

Calculated over the trailing 10-year period

0.75

0.55

+0.21

Sharpe Ratio (All Time)

Calculated using the full available price history

0.69

0.54

+0.15

Drawdowns

SHOP vs. JNJ - Drawdown Comparison

The maximum SHOP drawdown since its inception was -84.82%, which is greater than JNJ's maximum drawdown of -50.67%. Use the drawdown chart below to compare losses from any high point for SHOP and JNJ.


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Drawdown Indicators


SHOPJNJDifference

Max Drawdown

Largest peak-to-trough decline

-84.82%

-50.67%

-34.15%

Max Drawdown (1Y)

Largest decline over 1 year

-46.71%

-10.96%

-35.75%

Max Drawdown (3Y)

Largest decline over 3 years

-46.71%

-15.95%

-30.76%

Max Drawdown (5Y)

Largest decline over 5 years

-84.82%

-18.41%

-66.41%

Max Drawdown (10Y)

Largest decline over 10 years

-84.82%

-27.37%

-57.45%

Current Drawdown

Current decline from peak

-38.12%

-6.06%

-32.06%

Average Drawdown

Average peak-to-trough decline

-28.22%

-11.88%

-16.34%

Ulcer Index

Depth and duration of drawdowns from previous peaks

21.74%

3.70%

+18.04%

Volatility

SHOP vs. JNJ - Volatility Comparison

Shopify Inc. (SHOP) has a higher volatility of 17.86% compared to Johnson & Johnson (JNJ) at 5.80%. This indicates that SHOP's price experiences larger fluctuations and is considered to be riskier than JNJ based on this measure. The chart below showcases a comparison of their rolling one-month volatility.


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Volatility by Period


SHOPJNJDifference

Volatility (1M)

Calculated over the trailing 1-month period

17.86%

5.80%

+12.06%

Volatility (6M)

Calculated over the trailing 6-month period

43.67%

12.41%

+31.26%

Volatility (1Y)

Calculated over the trailing 1-year period

57.27%

16.87%

+40.40%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

65.57%

16.87%

+48.70%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

59.09%

18.47%

+40.62%

Dividends

SHOP vs. JNJ - Dividend Comparison

SHOP has not paid dividends to shareholders, while JNJ's dividend yield for the trailing twelve months is around 2.26%.


PositionTTM20252024202320222021202020192018201720162015
JNJ
Johnson & Johnson
2.26%2.48%3.40%3.00%2.52%2.45%2.53%2.57%2.74%2.38%2.73%2.87%
SHOP
Shopify Inc.
0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%

Financials

SHOP vs. JNJ - Financials Comparison

This section allows you to compare key financial metrics between Shopify Inc. and Johnson & Johnson. 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


0.005.00B10.00B15.00B20.00B25.00B202220232024202520260
24.06B
(SHOP) Total Revenue
(JNJ) Total Revenue
Values in USD except per share items

Frequently Asked Questions


SHOP and JNJ have a correlation of -0.19, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.

SHOP has higher volatility (17.86%) compared to JNJ (5.80%). In terms of maximum drawdown, SHOP dropped -84.82% vs JNJ's -50.67%.

JNJ currently has the higher Sharpe Ratio (3.19 vs -0.01), 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 SHOP and JNJ

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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