PortfoliosLab logoPortfoliosLab logo
SLB vs. MSFT
Performance
Return for Risk
Drawdowns
Volatility
Dividends
Financials

Performance

SLB vs. MSFT - Performance Comparison

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

Loading charts...

Returns By Period

In the year-to-date period, SLB achieves a 48.99% return, which is significantly higher than MSFT's -14.48% return. Over the past 10 years, SLB has underperformed MSFT with an annualized return of -0.41%, while MSFT has yielded a comparatively higher 24.64% annualized return.


SLB

1D
3.06%
1M
6.71%
YTD
48.99%
6M
49.53%
1Y
71.52%
3Y*
8.69%
5Y*
12.03%
10Y*
-0.41%

MSFT

1D
-1.18%
1M
-0.60%
YTD
-14.48%
6M
-15.77%
1Y
-11.77%
3Y*
8.85%
5Y*
11.09%
10Y*
24.64%
*Multi-year figures are annualized to reflect compound growth (CAGR)

SLB vs. MSFT - Yearly Performance Comparison


2026 (YTD)202520242023202220212020201920182017
SLB
Schlumberger Limited
48.99%3.27%-24.47%-0.78%81.15%40.30%-43.81%17.73%-44.66%-17.37%
MSFT
Microsoft Corporation
-14.48%15.58%12.93%58.19%-28.02%52.48%42.53%57.56%20.80%40.73%

Correlation

The correlation between SLB and MSFT is -0.07, 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

-0.07

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

0.03

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

0.08

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

0.14

Correlation (All Time)
Calculated using the full available price history since Mar 14, 1986

0.22

The correlation between SLB and MSFT shifts across timeframes, from -0.07 (1 year) to 0.22 (all time), reflecting how their relationship changes across market environments.

Fundamentals

EPS

SLB:

$3.04

MSFT:

$16.79

PE Ratio

SLB:

18.57

MSFT:

24.52

PEG Ratio

SLB:

0.87

MSFT:

1.72

PS Ratio

SLB:

1.71

MSFT:

9.65

Total Revenue (TTM)

SLB:

$35.94B

MSFT:

$318.27B

Gross Profit (TTM)

SLB:

$4.90B

MSFT:

$217.41B

EBITDA (TTM)

SLB:

$5.30B

MSFT:

$200.96B

Compare stocks, funds, or ETFs

Search for stocks, ETFs, and funds for a quick comparison or use the comparison tool for more options.


Return for Risk

SLB vs. MSFT — Risk / Return Rank

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

SLB
SLB Risk / Return Rank: 8989
Overall Rank
SLB Sharpe Ratio Rank: 9090
Sharpe Ratio Rank
SLB Sortino Ratio Rank: 8787
Sortino Ratio Rank
SLB Omega Ratio Rank: 8585
Omega Ratio Rank
SLB Calmar Ratio Rank: 9292
Calmar Ratio Rank
SLB Martin Ratio Rank: 9191
Martin Ratio Rank

MSFT
MSFT Risk / Return Rank: 2424
Overall Rank
MSFT Sharpe Ratio Rank: 2121
Sharpe Ratio Rank
MSFT Sortino Ratio Rank: 2121
Sortino Ratio Rank
MSFT Omega Ratio Rank: 2020
Omega Ratio Rank
MSFT Calmar Ratio Rank: 3131
Calmar Ratio Rank
MSFT Martin Ratio Rank: 2828
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.

SLB vs. MSFT - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for Schlumberger Limited (SLB) and Microsoft Corporation (MSFT). 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.


SLBMSFTDifference
Sharpe ratioReturn per unit of total volatility

+2.59

Sortino ratioReturn per unit of downside risk

+3.24

Omega ratioGain probability vs. loss probability

1.35

0.94

+0.41

Calmar ratioReturn relative to maximum drawdown

5.03

-0.35

+5.37

Martin ratioReturn relative to average drawdown

12.70

-0.73

+13.43

SLB vs. MSFT - Sharpe Ratio Comparison

The current SLB Sharpe Ratio is 2.12, which is higher than the MSFT Sharpe Ratio of -0.47. The chart below compares the historical Sharpe Ratios of SLB and MSFT, calculated using daily returns over the previous 12 months. A higher Sharpe Ratio indicates better risk-adjusted performance relative to the risk-free rate.


Loading charts...

Sharpe Ratios by Period


SLBMSFTDifference

Sharpe Ratio (1Y)

Calculated over the trailing 1-year period

2.12

-0.47

+2.59

Sharpe Ratio (5Y)

Calculated over the trailing 5-year period

0.32

0.42

-0.10

Sharpe Ratio (10Y)

Calculated over the trailing 10-year period

-0.01

0.91

-0.92

Sharpe Ratio (All Time)

Calculated using the full available price history

0.14

0.74

-0.60

Drawdowns

SLB vs. MSFT - Drawdown Comparison

The maximum SLB drawdown since its inception was -87.64%, which is greater than MSFT's maximum drawdown of -69.38%. Use the drawdown chart below to compare losses from any high point for SLB and MSFT.


Loading charts...

Drawdown Indicators


SLBMSFTDifference

Max Drawdown

Largest peak-to-trough decline

-87.64%

-69.38%

-18.26%

Max Drawdown (1Y)

Largest decline over 1 year

-14.30%

-33.91%

+19.61%

Max Drawdown (3Y)

Largest decline over 3 years

-46.63%

-33.91%

-12.72%

Max Drawdown (5Y)

Largest decline over 5 years

-46.63%

-37.15%

-9.48%

Max Drawdown (10Y)

Largest decline over 10 years

-84.29%

-37.15%

-47.14%

Current Drawdown

Current decline from peak

-33.09%

-23.56%

-9.53%

Average Drawdown

Average peak-to-trough decline

-31.18%

-21.78%

-9.40%

Ulcer Index

Depth and duration of drawdowns from previous peaks

5.65%

16.13%

-10.48%

Volatility

SLB vs. MSFT - Volatility Comparison

Schlumberger Limited (SLB) and Microsoft Corporation (MSFT) have volatilities of 9.86% and 10.25%, respectively, indicating that both stocks experience similar levels of price fluctuations. This suggests that the risk associated with both stocks, as measured by volatility, is nearly the same. The chart below showcases a comparison of their rolling one-month volatility.


Loading charts...

Volatility by Period


SLBMSFTDifference

Volatility (1M)

Calculated over the trailing 1-month period

9.86%

10.25%

-0.39%

Volatility (6M)

Calculated over the trailing 6-month period

25.96%

22.36%

+3.60%

Volatility (1Y)

Calculated over the trailing 1-year period

33.98%

25.31%

+8.67%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

37.66%

26.64%

+11.02%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

40.43%

27.06%

+13.37%

Dividends

SLB vs. MSFT - Dividend Comparison

SLB's dividend yield for the trailing twelve months is around 2.05%, more than MSFT's 0.86% yield.


PositionTTM20252024202320222021202020192018201720162015
MSFT
Microsoft Corporation
0.86%0.70%0.73%0.74%1.06%0.68%0.94%1.20%1.69%1.86%2.37%2.33%
SLB
Schlumberger Limited
2.05%2.97%2.87%1.92%1.22%2.09%4.01%4.98%5.54%2.97%2.38%2.87%

Financials

SLB vs. MSFT - Financials Comparison

This section allows you to compare key financial metrics between Schlumberger Limited and Microsoft 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


0.0020.00B40.00B60.00B80.00B20222023202420252026
8.72B
82.89B
(SLB) Total Revenue
(MSFT) Total Revenue
Values in USD except per share items

SLB vs. MSFT - Profitability Comparison

The chart below illustrates the profitability comparison between Schlumberger Limited and Microsoft Corporation over time, highlighting three key metrics: Gross Profit Margin, Operating Margin, and Net Profit Margin.

Gross Margin
Operating Margin
Net Margin
Quarterly
Annual

0.0%20.0%40.0%60.0%80.0%202220232024202520260
67.6%
Portfolio components
SLB - Gross Margin

Gross margin is calculated as gross profit divided by revenue. For the three months ending on Jun 2026, Schlumberger Limited reported a gross profit of 0.00 and revenue of 8.72B. Therefore, the gross margin over that period was 0.0%.

MSFT - Gross Margin

Gross margin is calculated as gross profit divided by revenue. For the three months ending on Jun 2026, Microsoft Corporation reported a gross profit of 56.06B and revenue of 82.89B. Therefore, the gross margin over that period was 67.6%.

SLB - Operating Margin

Operating margin is calculated as operating income divided by revenue. For the three months ending on Jun 2026, Schlumberger Limited reported an operating income of 0.00 and revenue of 8.72B, resulting in an operating margin of 0.0%.

MSFT - Operating Margin

Operating margin is calculated as operating income divided by revenue. For the three months ending on Jun 2026, Microsoft Corporation reported an operating income of 38.40B and revenue of 82.89B, resulting in an operating margin of 46.3%.

SLB - Net Margin

Net margin is calculated as net income divided by revenue. For the three months ending on Jun 2026, Schlumberger Limited reported a net income of 752.00M and revenue of 8.72B, resulting in a net margin of 8.6%.

MSFT - Net Margin

Net margin is calculated as net income divided by revenue. For the three months ending on Jun 2026, Microsoft Corporation reported a net income of 31.78B and revenue of 82.89B, resulting in a net margin of 38.3%.


Frequently Asked Questions


SLB and MSFT have a correlation of -0.07, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.

MSFT has higher volatility (10.25%) compared to SLB (9.86%). In terms of maximum drawdown, SLB dropped -87.64% vs MSFT's -69.38%.

SLB currently has the higher Sharpe Ratio (2.12 vs -0.47), 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 SLB and MSFT

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

Open Portfolio Optimizer