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BNY vs. GOOGL
Performance
Return for Risk
Drawdowns
Volatility
Dividends
Financials

Performance

BNY vs. GOOGL - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in The Bank of New York Mellon Corporation (BNY) and Alphabet Inc Class A (GOOGL). The values are adjusted to include any dividend payments, if applicable.

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Returns By Period

In the year-to-date period, BNY achieves a 22.11% return, which is significantly higher than GOOGL's 14.77% return. Over the past 10 years, BNY has underperformed GOOGL with an annualized return of 15.90%, while GOOGL has yielded a comparatively higher 25.69% annualized return.


BNY

1D
-0.50%
1M
6.59%
YTD
22.11%
6M
25.35%
1Y
60.34%
3Y*
52.65%
5Y*
25.33%
10Y*
15.90%

GOOGL

1D
-0.79%
1M
-6.33%
YTD
14.77%
6M
12.47%
1Y
116.77%
3Y*
42.66%
5Y*
24.78%
10Y*
25.69%
*Multi-year figures are annualized to reflect compound growth (CAGR)

BNY vs. GOOGL - Yearly Performance Comparison


2026 (YTD)202520242023202220212020201920182017
BNY
The Bank of New York Mellon Corporation
22.11%54.45%51.90%18.52%-19.14%40.55%-12.91%9.56%-10.85%15.68%
GOOGL
Alphabet Inc Class A
14.77%65.99%36.01%58.32%-39.09%65.30%30.85%28.18%-0.80%32.93%

Correlation

The correlation between BNY and GOOGL 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

0.24

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

0.34

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

0.33

Correlation (All Time)
Calculated using the full available price history since Aug 20, 2004

0.37

The correlation between BNY and GOOGL shifts across timeframes, from 0.24 (3 years) to 0.37 (all time), reflecting how their relationship changes across market environments.

Fundamentals

Market Cap

BNY:

$98.14B

GOOGL:

$4.39T

EPS

BNY:

$8.43

GOOGL:

$13.11

PE Ratio

BNY:

16.67

GOOGL:

27.37

PEG Ratio

BNY:

0.82

GOOGL:

1.35

PS Ratio

BNY:

2.44

GOOGL:

10.38

PB Ratio

BNY:

2.49

GOOGL:

9.18

Total Revenue (TTM)

BNY:

$40.65B

GOOGL:

$422.57B

Gross Profit (TTM)

BNY:

$20.54B

GOOGL:

$255.12B

EBITDA (TTM)

BNY:

$8.96B

GOOGL:

$174.08B

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Return for Risk

BNY vs. GOOGL — Risk / Return Rank

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

BNY
BNY Risk / Return Rank: 9494
Overall Rank
BNY Sharpe Ratio Rank: 9595
Sharpe Ratio Rank
BNY Sortino Ratio Rank: 9393
Sortino Ratio Rank
BNY Omega Ratio Rank: 9393
Omega Ratio Rank
BNY Calmar Ratio Rank: 9393
Calmar Ratio Rank
BNY Martin Ratio Rank: 9494
Martin Ratio Rank

GOOGL
GOOGL Risk / Return Rank: 9696
Overall Rank
GOOGL Sharpe Ratio Rank: 9797
Sharpe Ratio Rank
GOOGL Sortino Ratio Rank: 9898
Sortino Ratio Rank
GOOGL Omega Ratio Rank: 9696
Omega Ratio Rank
GOOGL Calmar Ratio Rank: 9393
Calmar Ratio Rank
GOOGL Martin Ratio Rank: 9595
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.

BNY vs. GOOGL - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for The Bank of New York Mellon Corporation (BNY) and Alphabet Inc Class A (GOOGL). 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.


BNYGOOGLDifference

Sharpe ratio

Return per unit of total volatility

3.06

4.03

-0.96

Sortino ratio

Return per unit of downside risk

3.78

5.33

-1.56

Omega ratio

Gain probability vs. loss probability

1.50

1.65

-0.15

Calmar ratio

Return relative to maximum drawdown

5.98

5.77

+0.21

Martin ratio

Return relative to average drawdown

16.93

21.31

-4.38

BNY vs. GOOGL - Sharpe Ratio Comparison

The current BNY Sharpe Ratio is 3.06, which is comparable to the GOOGL Sharpe Ratio of 4.03. The chart below compares the historical Sharpe Ratios of BNY and GOOGL, 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


BNYGOOGLDifference

Sharpe Ratio (1Y)

Calculated over the trailing 1-year period

3.06

4.03

-0.96

Sharpe Ratio (5Y)

Calculated over the trailing 5-year period

1.04

0.80

+0.24

Sharpe Ratio (10Y)

Calculated over the trailing 10-year period

0.59

0.89

-0.30

Sharpe Ratio (All Time)

Calculated using the full available price history

0.36

0.84

-0.48

Drawdowns

BNY vs. GOOGL - Drawdown Comparison

The maximum BNY drawdown since its inception was -72.28%, which is greater than GOOGL's maximum drawdown of -65.29%. Use the drawdown chart below to compare losses from any high point for BNY and GOOGL.


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Drawdown Indicators


BNYGOOGLDifference

Max Drawdown

Largest peak-to-trough decline

-72.28%

-65.29%

-6.99%

Max Drawdown (1Y)

Largest decline over 1 year

-10.15%

-20.37%

+10.22%

Max Drawdown (3Y)

Largest decline over 3 years

-17.58%

-29.81%

+12.23%

Max Drawdown (5Y)

Largest decline over 5 years

-40.45%

-44.32%

+3.87%

Max Drawdown (10Y)

Largest decline over 10 years

-50.49%

-44.32%

-6.17%

Current Drawdown

Current decline from peak

-1.42%

-10.84%

+9.42%

Average Drawdown

Average peak-to-trough decline

-18.72%

-13.02%

-5.70%

Ulcer Index

Depth and duration of drawdowns from previous peaks

3.58%

5.50%

-1.92%

Volatility

BNY vs. GOOGL - Volatility Comparison

The current volatility for The Bank of New York Mellon Corporation (BNY) is 4.87%, while Alphabet Inc Class A (GOOGL) has a volatility of 8.29%. This indicates that BNY experiences smaller price fluctuations and is considered to be less risky than GOOGL based on this measure. The chart below showcases a comparison of their rolling one-month volatility.


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Volatility by Period


BNYGOOGLDifference

Volatility (1M)

Calculated over the trailing 1-month period

4.87%

8.29%

-3.42%

Volatility (6M)

Calculated over the trailing 6-month period

15.73%

20.56%

-4.83%

Volatility (1Y)

Calculated over the trailing 1-year period

19.79%

29.22%

-9.43%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

24.58%

31.29%

-6.71%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

27.04%

29.10%

-2.06%

Dividends

BNY vs. GOOGL - Dividend Comparison

BNY's dividend yield for the trailing twelve months is around 1.51%, more than GOOGL's 0.23% yield.


PositionTTM20252024202320222021202020192018201720162015
BNY
The Bank of New York Mellon Corporation
1.51%1.72%2.32%3.04%3.12%2.24%2.92%2.34%2.21%1.60%1.52%1.65%
GOOGL
Alphabet Inc Class A
0.23%0.27%0.32%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%

Financials

BNY vs. GOOGL - Financials Comparison

This section allows you to compare key financial metrics between The Bank of New York Mellon Corporation and Alphabet Inc Class A. 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


0.0020.00B40.00B60.00B80.00B100.00B120.00B20222023202420252026
9.86B
109.90B
(BNY) Total Revenue
(GOOGL) Total Revenue
Values in USD except per share items

BNY vs. GOOGL - Profitability Comparison

The chart below illustrates the profitability comparison between The Bank of New York Mellon Corporation and Alphabet Inc Class A over time, highlighting three key metrics: Gross Profit Margin, Operating Margin, and Net Profit Margin.

Gross Margin
Operating Margin
Net Margin
Quarterly
Annual

40.0%50.0%60.0%70.0%80.0%90.0%100.0%20222023202420252026
54.9%
62.5%
Portfolio components
BNY - Gross Margin

Gross margin is calculated as gross profit divided by revenue. For the three months ending on Jun 2026, The Bank of New York Mellon Corporation reported a gross profit of 5.42B and revenue of 9.86B. Therefore, the gross margin over that period was 54.9%.

GOOGL - Gross Margin

Gross margin is calculated as gross profit divided by revenue. For the three months ending on Jun 2026, Alphabet Inc Class A reported a gross profit of 68.63B and revenue of 109.90B. Therefore, the gross margin over that period was 62.5%.

BNY - Operating Margin

Operating margin is calculated as operating income divided by revenue. For the three months ending on Jun 2026, The Bank of New York Mellon Corporation reported an operating income of 2.02B and revenue of 9.86B, resulting in an operating margin of 20.4%.

GOOGL - Operating Margin

Operating margin is calculated as operating income divided by revenue. For the three months ending on Jun 2026, Alphabet Inc Class A reported an operating income of 39.70B and revenue of 109.90B, resulting in an operating margin of 36.1%.

BNY - Net Margin

Net margin is calculated as net income divided by revenue. For the three months ending on Jun 2026, The Bank of New York Mellon Corporation reported a net income of 1.63B and revenue of 9.86B, resulting in a net margin of 16.6%.

GOOGL - Net Margin

Net margin is calculated as net income divided by revenue. For the three months ending on Jun 2026, Alphabet Inc Class A reported a net income of 62.58B and revenue of 109.90B, resulting in a net margin of 56.9%.


Frequently Asked Questions


BNY and GOOGL 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.

GOOGL has higher volatility (8.29%) compared to BNY (4.87%). In terms of maximum drawdown, BNY dropped -72.28% vs GOOGL's -65.29%.

GOOGL currently has the higher Sharpe Ratio (4.03 vs 3.06), 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.

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