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ORCL vs. ADP
Performance
Return for Risk
Drawdowns
Volatility
Dividends
Financials

Performance

ORCL vs. ADP - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in Oracle Corporation (ORCL) and Automatic Data Processing, Inc. (ADP). The values are adjusted to include any dividend payments, if applicable.

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Returns By Period

In the year-to-date period, ORCL achieves a -37.12% return, which is significantly lower than ADP's 0.81% return. Both investments have delivered pretty close results over the past 10 years, with ORCL having a 13.12% annualized return and ADP not far behind at 12.78%.


ORCL

1D
-3.98%
1M
-33.91%
6M
-36.04%
YTD
-37.12%
1Y
-49.98%
3Y*
2.24%
5Y*
7.68%
10Y*
13.12%
ALL TIME*
21.29%

ADP

1D
-0.01%
1M
16.86%
6M
-0.44%
YTD
0.81%
1Y
-13.07%
3Y*
4.84%
5Y*
6.86%
10Y*
12.78%
ALL TIME*
14.07%
*Multi-year figures are annualized to reflect compound growth (CAGR)

ORCL vs. ADP - Yearly Performance Comparison


2026 (YTD)202520242023202220212020201920182017
ORCL
Oracle Corporation
-37.12%18.13%59.99%30.94%-4.65%36.89%24.25%19.34%-2.97%24.94%
ADP
Automatic Data Processing, Inc.
0.81%-10.18%28.41%-0.25%-1.29%42.60%5.86%32.71%14.25%16.54%

Correlation

The correlation between ORCL and ADP is -0.00, 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

-0.00

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

0.15

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

0.28

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

0.37

Correlation (All Time)
Calculated using the full available price history since Mar 12, 1986

0.35

The correlation between ORCL and ADP shifts across timeframes, from -0.00 (1 year) to 0.37 (10 years), reflecting how their relationship changes across market environments.

Fundamentals

Market Cap

ORCL:

$349.60B

ADP:

$102.03B

EPS

ORCL:

$5.86

ADP:

$10.74

PE Ratio

ORCL:

20.71

ADP:

23.77

PEG Ratio

ORCL:

0.85

ADP:

1.79

PS Ratio

ORCL:

5.25

ADP:

4.78

PB Ratio

ORCL:

8.22

ADP:

16.17

Total Revenue (TTM)

ORCL:

$67.36B

ADP:

$21.60B

Gross Profit (TTM)

ORCL:

$79.58B

ADP:

$10.26B

EBITDA (TTM)

ORCL:

$6.20B

ADP:

$6.51B

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Return for Risk

ORCL vs. ADP — Risk / Return Rank

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

ORCL
ORCL Risk / Return Rank: 1212
Overall Rank
ORCL Sharpe Ratio Rank: 1212
Sharpe Ratio Rank
ORCL Sortino Ratio Rank: 1010
Sortino Ratio Rank
ORCL Omega Ratio Rank: 1313
Omega Ratio Rank
ORCL Calmar Ratio Rank: 1313
Calmar Ratio Rank
ORCL Martin Ratio Rank: 1313
Martin Ratio Rank

ADP
ADP Risk / Return Rank: 2626
Overall Rank
ADP Sharpe Ratio Rank: 2222
Sharpe Ratio Rank
ADP Sortino Ratio Rank: 2020
Sortino Ratio Rank
ADP Omega Ratio Rank: 2121
Omega Ratio Rank
ADP Calmar Ratio Rank: 3434
Calmar Ratio Rank
ADP Martin Ratio Rank: 3333
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.

ORCL vs. ADP - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for Oracle Corporation (ORCL) and Automatic Data Processing, Inc. (ADP). 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.


ORCLADPDifference
Sharpe ratioReturn per unit of total volatility

-0.26

Sortino ratioReturn per unit of downside risk

-0.62

Omega ratioGain probability vs. loss probability

0.87

0.93

-0.06

Calmar ratioReturn relative to maximum drawdown

-0.80

-0.34

-0.46

Martin ratioReturn relative to average drawdown

-1.28

-0.61

-0.67

ORCL vs. ADP - Sharpe Ratio Comparison

The current ORCL Sharpe Ratio is -0.77, which is lower than the ADP Sharpe Ratio of -0.51. The chart below compares the historical Sharpe Ratios of ORCL and ADP, 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

ORCL vs. ADP - Drawdown Comparison

The maximum ORCL drawdown since its inception was -84.19%, which is greater than ADP's maximum drawdown of -59.51%. Use the drawdown chart below to compare losses from any high point for ORCL and ADP.


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Drawdown Indicators


ORCLADPDifference

Max Drawdown

Largest peak-to-trough decline

-84.19%

-59.51%

-24.68%

Max Drawdown (1Y)

Largest decline over 1 year

-62.61%

-38.07%

-24.54%

Max Drawdown (3Y)

Largest decline over 3 years

-62.61%

-40.78%

-21.83%

Max Drawdown (5Y)

Largest decline over 5 years

-62.61%

-40.78%

-21.83%

Max Drawdown (10Y)

Largest decline over 10 years

-62.61%

-40.78%

-21.83%

Current Drawdown

Current decline from peak

-62.61%

-19.33%

-43.28%

Average Drawdown

Average peak-to-trough decline

-29.16%

-12.62%

-16.54%

Ulcer Index

Depth and duration of drawdowns from previous peaks

39.16%

21.50%

+17.66%

Volatility

ORCL vs. ADP - Volatility Comparison

Oracle Corporation (ORCL) has a higher volatility of 13.67% compared to Automatic Data Processing, Inc. (ADP) at 9.64%. This indicates that ORCL's price experiences larger fluctuations and is considered to be riskier than ADP based on this measure. The chart below showcases a comparison of their rolling one-month volatility.


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Volatility by Period


ORCLADPDifference

Volatility (1M)

Calculated over the trailing 1-month period

13.67%

9.64%

+4.03%

Volatility (6M)

Calculated over the trailing 6-month period

42.95%

22.23%

+20.72%

Volatility (1Y)

Calculated over the trailing 1-year period

65.37%

25.78%

+39.59%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

42.65%

22.47%

+20.18%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

35.47%

24.63%

+10.84%

Dividends

ORCL vs. ADP - Dividend Comparison

ORCL's dividend yield for the trailing twelve months is around 1.65%, less than ADP's 2.60% yield.


PositionTTM20252024202320222021202020192018201720162015
ADP
Automatic Data Processing, Inc.
2.60%2.46%1.96%2.21%1.83%1.55%2.08%1.92%2.14%2.00%2.10%2.36%
ORCL
Oracle Corporation
1.65%0.97%0.96%1.44%1.57%1.38%1.48%1.72%1.68%1.52%1.56%1.56%

Financials

ORCL vs. ADP - Financials Comparison

This section allows you to compare key financial metrics between Oracle Corporation and Automatic Data Processing, 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


5.00B10.00B15.00B20.00B20222023202420252026
19.18B
5.94B
(ORCL) Total Revenue
(ADP) Total Revenue
Values in USD except per share items

Frequently Asked Questions


ORCL and ADP have a correlation of -0.00, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.

ORCL has higher volatility (13.67%) compared to ADP (9.64%). In terms of maximum drawdown, ORCL dropped -84.19% vs ADP's -59.51%.

ADP currently has the higher Sharpe Ratio (-0.51 vs -0.77), 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 ORCL and ADP

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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