Bank of America Corporation (BAC-PP.US)

10-Year Study

BAC-PP.US · Financial Services · Preferred Stock

About Bank of America Corporation (BAC-PP.US)

Financial Services

Bank of America Corporation, through its subsidiaries, provides various financial products and services for individual consumers, small and middle-market businesses, institutional investors, large corporations, and governments worldwide. It operates through four segments: Consumer Banking, Global Wealth & Investment Management (GWIM), Global Banking, and Global Markets....

Source: EODHD Financial Datasets
Fundamentals updated: Sep 13, 2026

Fundamental Snapshot

Bank of America Corporation (BAC-PP.US) reports a gross margin of 100.0% and an operating margin of 38.3%. Quarterly revenue changed +16.8% year-over-year. Financially, its return on equity is 11.2%, current ratio stands at 0.07x, debt-to-equity ratio is 2.43x.

Executive Summary: Bank of America Corporation has compounded at -3.6% annually over the last 10 years, with a maximum drawdown of 33.0% and an annualized volatility of 22.5%.

1Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
-10.2%
3Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
+3.8%
5Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
-4.7%
10Y CAGRCAGRCompound Annual Growth Rate — the annualized rate of return over a period, accounting for compounding.Click for full definition →
-3.6%

History & Riski10-year historical performance analysis including CAGR, Max Drawdown, Sharpe & Sortino ratios, annual returns, and rolling volatility — all computed from daily market data.

10-Year Growth of $10,000

View full price history data
DateValue
2021-01-01$10,000
2021-02-01$9,856
2021-03-01$9,912
2021-04-01$10,221
2021-05-01$10,176
2021-06-01$10,576
2021-07-01$10,506
2021-08-01$10,506
2021-09-01$10,498
2021-10-01$10,328
2021-11-01$10,064
2021-12-01$10,481
2022-01-01$9,647
2022-02-01$8,864
2022-03-01$8,881
2022-04-01$7,572
2022-05-01$8,214
2022-06-01$7,850
2022-07-01$8,545
2022-08-01$7,847
2022-09-01$7,372
2022-10-01$7,082
2022-11-01$7,690
2022-12-01$7,260
2023-01-01$8,372
2023-02-01$8,111
2023-03-01$7,723
2023-04-01$8,200
2023-05-01$7,972
2023-06-01$8,196
2023-07-01$8,173
2023-08-01$7,837
2023-09-01$7,606
2023-10-01$7,304
2023-11-01$8,023
2023-12-01$8,485
2024-01-01$8,838
2024-02-01$9,034
2024-03-01$9,090
2024-04-01$8,472
2024-05-01$8,671
2024-06-01$8,728
2024-07-01$8,724
2024-08-01$9,215
2024-09-01$9,652
2024-10-01$9,176
2024-11-01$8,976
2024-12-01$8,918
2025-01-01$8,882
2025-02-01$9,070
2025-03-01$8,600
2025-04-01$8,369
2025-05-01$8,158
2025-06-01$8,524
2025-07-01$8,584
2025-08-01$8,757
2025-09-01$8,956
2025-10-01$8,981
2025-11-01$8,774
2025-12-01$8,882
2026-01-01$9,074
2026-02-01$9,158
2026-03-01$8,738
2026-04-01$8,817
2026-05-01$8,738
2026-06-01$8,827
2026-07-01$8,528
2026-08-01$8,444
2026-09-01$8,139
Max DrawdownMax DrawdownThe largest peak-to-trough decline in the asset's value over the measurement period.Click for full definition →
33.0%
Sharpe RatioSharpe RatioRisk-adjusted return: how much excess return you earn per unit of total risk (volatility).Click for full definition →
-0.40
Sortino RatioSortino RatioLike Sharpe, but only penalizes downside volatility — a more accurate risk measure for asymmetric return distributions.Click for full definition →
-0.64
Ann. VolatilityAnnualized VolatilityThe annualized standard deviation of an asset's returns — a measure of how much prices fluctuate.Click for full definition →
16.8%
Best YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2023 · +16.9%
Worst YearBest & Worst YearThe single calendar year with the highest and lowest return in the measured period.Click for full definition →
2022 · -30.7%
% Positive Years% Positive YearsThe percentage of calendar years in the measurement period where the asset delivered a positive return.Click for full definition →
40%

Annual Returns

View full annual returns data
YearReturn
2022-30.7%
202316.9%
20245.1%
2025-0.4%
2026-8.4%

Rolling 12-Month Returns

Rolling 12-Month Annualised Volatility

Historical Drawdowns

Monthly Returns

Monthly Returns Heatmap

YearJanFebMarAprMayJunJulAugSepOctNovDecAnn.
20262.20.9-4.60.9-0.91.0-3.4-1.0-3.6-8.4%
2025-0.42.1-5.2-2.7-2.54.50.72.02.30.3-2.31.2-0.4%
20244.22.20.6-6.82.40.7-0.05.64.7-4.9-2.2-0.75.1%
202315.3-3.1-4.86.2-2.82.8-0.3-4.1-3.0-4.09.85.716.9%
2022-8.0-8.10.2-14.78.5-4.48.8-8.2-6.1-3.98.6-5.6-30.7%
2021-1.40.63.1-0.43.9-0.70.0-0.1-1.6-2.64.14.8%

Risk X-RayiA 19-factor macroeconomic risk decomposition showing exactly which market forces (equity beta, rates, inflation, credit, commodity, crypto) drive this asset's volatility. Powered by multivariate regression against daily factor returns.

Factor Risk Decomposition

Share of annualised volatility attributable to each macro factor.

Total Est. Vol
22.5%
View full factor risk breakdown
FactorRisk Exposure
VTI.US-10.2%
VEA.US7.7%
VWO.US1.8%
QQQ.US4.7%
VTV.US-3.6%
IJR.US4.9%
QUAL.US2.9%
SHV.US18.4%
TLT.US-6.8%
LQD.US60.4%
HYG.US5.4%
GLD.US-0.2%
USO.US0.0%
VNQ.US4.8%
BTC-USD.CC-0.0%
CPER.US0.2%
VIX.INDX-1.9%
UUP.US-1.4%
TIP.US0.9%
Idiosyncratic12.1%

Bank of America Corporation Business Fundamentals

Reported valuation multiples, trailing margins, YoY growth, and balance-sheet liquidity.

Valuation Multiples

P/E Ratio (TTM)
4.45x
8th pct of 315 Financial Services peers · median 12.23x

Profitability & Margins

Gross Margin (TTM)
100.0%
69th pct of 344 Financial Services peers · median 100.0%
Operating Margin (TTM)
38.3%
48th pct of 352 Financial Services peers · median 38.8%
Return on Equity (ROE)
11.2%
46th pct of 367 Financial Services peers · median 11.5%

Year-over-Year Growth

Revenue Growth (YoY)
+16.8%
64th pct of 367 Financial Services peers · median +11.6%

Financial Position

Debt-to-Equity
2.43x
85th pct of 323 Financial Services peers · median 0.48x
Current Ratio
0.07x
7th pct of 309 Financial Services peers · median 1.06x

Dividend & Income Analysisi10-Year historical income simulation on a $10,000 initial investment, cumulative dividend income generated, average yield on cost, and annual payout table.

Income Simulation

Based on $10,000 initial investment.

Total Income Generated
$271
Avg Yield on Cost
2.71%
Annual Income Simulation Table
Historical Realised Yields
YearAnnual PayoutYield on CostQuality
2026$270.762.71%Moderate

Momentum & MacroiPrice momentum indicators: distance from 50/200-Day SMA, 52-Week High proximity, Golden Cross trend signal, RSI momentum gauge, Fibonacci retracement levels, and Beta (market sensitivity).

vs 50-Day SMAMoving Averages (SMA)A rolling average of an asset's price over a defined window — used to identify trends and momentum signals.Click for full definition →
-3.9%
Above/below 50-day moving average
vs 200-Day SMAMoving Averages (SMA)A rolling average of an asset's price over a defined window — used to identify trends and momentum signals.Click for full definition →
-7.1%
Above/below 200-day moving average
vs 52-Week High52-Week HighThe highest price an asset reached in the past 52 weeks — a key reference for momentum and valuation context.Click for full definition →
11.6% from high
Distance from 52-week high
BetaBetaA measure of an asset's sensitivity to broad market movements relative to a benchmark (e.g. S&P 500).Click for full definition →
1.16
Market sensitivity coefficient
Trend SignalGolden Cross & Death CrossTechnical chart patterns that occur when a short-term moving average crosses over a long-term moving average.Click for full definition →
✦ Death Cross
Bearish — 50 SMA below 200 SMA
RSI (14-Day)Relative Strength Index (RSI)A momentum oscillator that measures the speed and change of price movements to identify overbought or oversold conditions.Click for full definition →
22
OversoldNeutralOverbought
Oversold
Fibonacci LevelsFibonacci RetracementTechnical levels based on mathematical ratios that indicate potential support and resistance areas.Click for full definition →
38.2% retracement-7.5%
50.0% retracement-6.2%
61.8% retracement-4.8%
% distance of current price from each 52-week Fibonacci support level.

In-Depth Analysis

BAC-PP.US — 10-Year Return & Risk Profile

Bank of America Corporation (BAC-PP.US) has delivered negative annualized growth of 3.6% over the last 10 years. A $10,000 investment at the start of the period would have grown to approximately $6,953, representing a total return of 30%. Over this period, BAC-PP.US generated positive annual returns in 4 out of 10 calendar years (40%).

The best single calendar year for BAC-PP.US was 2023, with a return of +16.9%. The worst year was 2022, when the asset declined 30.7%. This spread between best and worst year is a useful indicator of the range of outcomes an investor might have experienced in a given 12-month window.

The asset's Sharpe ratio of -0.40 is considered poor on a risk-adjusted basis. The Sharpe ratio measures return earned above the risk-free rate per unit of total volatility — a higher reading indicates more efficient return generation relative to the risk taken. Investors focused on risk-adjusted outcomes should weigh this figure alongside absolute CAGR when making allocation decisions.

BAC-PP.US — Drawdown, Volatility & Downside Risk

BAC-PP.US's annualized volatility of 16.8% is classified as moderate relative to the long-run US equity benchmark of approximately 15%. This above-average volatility means investors in BAC-PP.US have historically experienced larger day-to-day price swings than the broader market, which requires a higher tolerance for short-term portfolio fluctuations.

The asset's maximum peak-to-trough decline over the study period was 33.0% — a significant bear-market drawdown. Drawdown magnitude is a critical consideration for investors who may need to liquidate positions during market stress, as a larger decline requires proportionally greater subsequent gains to recover to the prior peak. A 33% drawdown, for example, requires a 49% gain just to break even.

When evaluating BAC-PP.US for inclusion in a diversified US portfolio, it is important to note that historical volatility and drawdown metrics are backward-looking. They capture the risk environment of the past 10 years, which included the COVID-19 market crash (2020), the 2022 Federal Reserve rate hike cycle, and various geopolitical disruptions. Future risk may differ materially, particularly in response to structural changes in US monetary policy, sector regulation, or macroeconomic regime shifts.

BAC-PP.US — Macroeconomic Factor Risk Exposure

The macroeconomic factor model attributes 60.4% of BAC-PP.US's return variance to Investment-Grade Corporate Credit. This means that when Investment-Grade Corporate Credit rises or falls sharply, BAC-PP.US tends to move in the same direction with meaningful magnitude. Investors who already hold significant exposure to this factor — through other funds or direct equity positions — should be aware of this concentration when sizing their BAC-PP.US allocation.

The second-largest macro driver is Short-Term Interest Rates, contributing 18.4% of variance. 12.1% of BAC-PP.US's risk is attributable to idiosyncratic, stock-specific factors that are uncorrelated with the broader macro drivers. A higher idiosyncratic share generally indicates that the fund's performance is more dependent on the security selection or holdings composition of the individual underlying assets, rather than broad market forces.

For US investors building a diversified multi-asset portfolio, understanding BAC-PP.US's factor exposures helps assess its marginal contribution to overall portfolio risk. Adding BAC-PP.US alongside assets with low correlation to Investment-Grade Corporate Credit — such as US Treasury bonds, commodities, or assets with significant developed-market ex-US exposure — can reduce the overall portfolio's sensitivity to any single macroeconomic theme.

Compare this AssetiRun a head-to-head backtest and risk analysis against similar assets.

Frequently Asked Questions & Methodology

Is Bank of America Corporation a high-risk investment?

Bank of America Corporation (BAC-PP.US) has an annualized volatility of 22.5% and experienced a maximum drawdown of 33.0% over the last 10 years. Its primary macro risk driver is LQD.US.

What is the 10-year return of BAC-PP.US?

Over the past 10 years, BAC-PP.US has generated a Compound Annual Growth Rate (CAGR) of -3.6%. A $10,000 investment would have grown to approximately $6,953. It has had a positive return in 40% of calendar years.

What is BAC-PP.US's Sharpe ratio?

BAC-PP.US has a Sharpe ratio of -0.40 and a Sortino ratio of -0.64 over the 10-year period. The Sharpe ratio measures risk-adjusted return — how much excess return is earned per unit of volatility. A reading below 1.0 suggests investors were not fully compensated on a risk-adjusted basis.

What is BAC-PP.US's dividend yield?

BAC-PP.US has an average trailing dividend yield of 7.20%. On a $10,000 initial investment, it generated approximately $271 in cumulative income over the study period. All return metrics on this page use total return (dividends reinvested).

Is BAC-PP.US above its 200-day moving average?

BAC-PP.US is currently below its 200-day moving average by 7.1%. The current trend signal is: Bearish — 50 SMA below 200 SMA. The 200-day SMA is a widely used long-term trend filter — assets trading above it tend to exhibit positive price momentum.

Data Methodology & Trust

The risk and return information on this page is pre-calculated mathematically using daily market data spanning a 10-year period. Fundamentals (such as P/E Ratio, Market Cap, and Dividend Yield) represent trailing averages and may not immediately reflect real-time live market fluctuations. Advanced scoring models like the Piotroski F-Score and Altman Z-Score are proxies applied to publicly available trailing-twelve-month financial statements and may not account for recent off-balance-sheet events, qualitative company shifts, or sector-specific capital structures. Macroeconomic factor exposures are estimated via multivariate regression against standard market indices. This data is provided for quantitative insight and backtesting research, and should not be misconstrued as tailored financial advice.

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