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

Performance

MSFT vs. SHOP - Performance Comparison

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

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Returns By Period

In the year-to-date period, MSFT achieves a -11.24% return, which is significantly higher than SHOP's -29.84% return. Over the past 10 years, MSFT has underperformed SHOP with an annualized return of 25.03%, while SHOP has yielded a comparatively higher 43.94% annualized return.


MSFT

1D
-3.17%
1M
3.54%
YTD
-11.24%
6M
-10.15%
1Y
-6.96%
3Y*
9.26%
5Y*
12.17%
10Y*
25.03%

SHOP

1D
-3.48%
1M
-11.45%
YTD
-29.84%
6M
-29.41%
1Y
7.45%
3Y*
24.67%
5Y*
-1.30%
10Y*
43.94%
*Multi-year figures are annualized to reflect compound growth (CAGR)

MSFT vs. SHOP - Yearly Performance Comparison


2026 (YTD)202520242023202220212020201920182017
MSFT
Microsoft Corporation
-11.24%15.58%12.93%58.19%-28.02%52.48%42.53%57.56%20.80%40.73%
SHOP
Shopify Inc.
-29.84%51.39%36.50%124.43%-74.80%21.68%184.71%187.17%37.08%135.60%

Correlation

The correlation between MSFT and SHOP is 0.46, which is low. Their price movements are largely independent, making them effective diversification partners.


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

0.46

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

0.47

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

0.52

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

0.51

Correlation (All Time)
Calculated using the full available price history since May 22, 2015

0.48

The correlation between MSFT and SHOP has been stable across timeframes, ranging from 0.46 to 0.52 - a consistent structural relationship.

Fundamentals

Market Cap

MSFT:

$3.18T

SHOP:

$147.20B

EPS

MSFT:

$16.79

SHOP:

$1.02

PE Ratio

MSFT:

25.45

SHOP:

110.87

PEG Ratio

MSFT:

1.78

SHOP:

0.21

PS Ratio

MSFT:

10.01

SHOP:

16.06

PB Ratio

MSFT:

7.68

SHOP:

11.78

Total Revenue (TTM)

MSFT:

$318.27B

SHOP:

$9.20B

Gross Profit (TTM)

MSFT:

$217.41B

SHOP:

$5.93B

EBITDA (TTM)

MSFT:

$200.96B

SHOP:

$1.60B

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Return for Risk

MSFT vs. SHOP — Risk / Return Rank

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

MSFT
MSFT Risk / Return Rank: 2929
Overall Rank
MSFT Sharpe Ratio Rank: 2929
Sharpe Ratio Rank
MSFT Sortino Ratio Rank: 2525
Sortino Ratio Rank
MSFT Omega Ratio Rank: 2525
Omega Ratio Rank
MSFT Calmar Ratio Rank: 3333
Calmar Ratio Rank
MSFT Martin Ratio Rank: 3333
Martin Ratio Rank

SHOP
SHOP Risk / Return Rank: 4444
Overall Rank
SHOP Sharpe Ratio Rank: 4545
Sharpe Ratio Rank
SHOP Sortino Ratio Rank: 4444
Sortino Ratio Rank
SHOP Omega Ratio Rank: 4343
Omega Ratio Rank
SHOP Calmar Ratio Rank: 4444
Calmar Ratio Rank
SHOP Martin Ratio Rank: 4444
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.

MSFT vs. SHOP - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for Microsoft Corporation (MSFT) and Shopify Inc. (SHOP). 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.


MSFTSHOPDifference
Sharpe ratioReturn per unit of total volatility

-0.41

Sortino ratioReturn per unit of downside risk

-0.82

Omega ratioGain probability vs. loss probability

0.97

1.07

-0.10

Calmar ratioReturn relative to maximum drawdown

-0.21

0.16

-0.37

Martin ratioReturn relative to average drawdown

-0.44

0.35

-0.79

MSFT vs. SHOP - Sharpe Ratio Comparison

The current MSFT Sharpe Ratio is -0.28, which is lower than the SHOP Sharpe Ratio of 0.13. The chart below compares the historical Sharpe Ratios of MSFT and SHOP, 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


MSFTSHOPDifference

Sharpe Ratio (1Y)

Calculated over the trailing 1-year period

-0.28

0.13

-0.41

Sharpe Ratio (5Y)

Calculated over the trailing 5-year period

0.46

-0.02

+0.48

Sharpe Ratio (10Y)

Calculated over the trailing 10-year period

0.93

0.75

+0.18

Sharpe Ratio (All Time)

Calculated using the full available price history

0.75

0.69

+0.05

Drawdowns

MSFT vs. SHOP - Drawdown Comparison

The maximum MSFT drawdown since its inception was -69.38%, smaller than the maximum SHOP drawdown of -84.82%. Use the drawdown chart below to compare losses from any high point for MSFT and SHOP.


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Drawdown Indicators


MSFTSHOPDifference

Max Drawdown

Largest peak-to-trough decline

-69.38%

-84.82%

+15.44%

Max Drawdown (1Y)

Largest decline over 1 year

-33.91%

-46.71%

+12.80%

Max Drawdown (3Y)

Largest decline over 3 years

-33.91%

-46.71%

+12.80%

Max Drawdown (5Y)

Largest decline over 5 years

-37.15%

-84.82%

+47.67%

Max Drawdown (10Y)

Largest decline over 10 years

-37.15%

-84.82%

+47.67%

Current Drawdown

Current decline from peak

-20.67%

-36.91%

+16.24%

Average Drawdown

Average peak-to-trough decline

-21.78%

-28.21%

+6.43%

Ulcer Index

Depth and duration of drawdowns from previous peaks

15.95%

21.36%

-5.41%

Volatility

MSFT vs. SHOP - Volatility Comparison

The current volatility for Microsoft Corporation (MSFT) is 9.95%, while Shopify Inc. (SHOP) has a volatility of 24.71%. This indicates that MSFT experiences smaller price fluctuations and is considered to be less risky than SHOP based on this measure. The chart below showcases a comparison of their rolling one-month volatility.


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Volatility by Period


MSFTSHOPDifference

Volatility (1M)

Calculated over the trailing 1-month period

9.95%

24.71%

-14.76%

Volatility (6M)

Calculated over the trailing 6-month period

22.34%

43.60%

-21.26%

Volatility (1Y)

Calculated over the trailing 1-year period

25.12%

57.17%

-32.05%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

26.63%

65.51%

-38.88%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

27.04%

59.05%

-32.01%

Dividends

MSFT vs. SHOP - Dividend Comparison

MSFT's dividend yield for the trailing twelve months is around 0.83%, while SHOP has not paid dividends to shareholders.


PositionTTM20252024202320222021202020192018201720162015
MSFT
Microsoft Corporation
0.83%0.70%0.73%0.74%1.06%0.68%0.94%1.20%1.69%1.86%2.37%2.33%
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

MSFT vs. SHOP - Financials Comparison

This section allows you to compare key financial metrics between Microsoft Corporation and Shopify 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


0.0020.00B40.00B60.00B80.00B20222023202420252026
82.89B
0
(MSFT) Total Revenue
(SHOP) Total Revenue
Values in USD except per share items

Frequently Asked Questions


MSFT and SHOP have a correlation of 0.46, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.

SHOP has higher volatility (24.71%) compared to MSFT (9.95%). In terms of maximum drawdown, MSFT dropped -69.38% vs SHOP's -84.82%.

SHOP currently has the higher Sharpe Ratio (0.13 vs -0.28), 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 MSFT and SHOP

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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