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SLV ETF vs the S&P 500: Returns, Risk and Crash History

iShares Silver Trust (market value $28.4 billion): how it compared with the S&P 500, how it behaved in every crash since 2008, its risk‑adjusted returns. Data as of Oct 30, 2026.

Published Updated 4 min readHow we research

What changed since Oct 26

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+1.3% 1‑year return through Oct 30 (was +28.7%)

Key takeaways

  • SLV returned +101.9% over the 5 years to Oct 30, 2026 versus +75.9% for the S&P 500: it beat the index.
  • Its 5-year Sharpe ratio was 0.48 against 0.58 for the S&P 500.
  • Its deepest crisis drawdown was −57.1% in the global financial crisis (2007–09) (S&P 500: −56.5%).
  • Five‑year volatility was 37.1% and beta 0.54.

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Did SLV beat the S&P 500?

Over the 5 years to Oct 30, 2026, iShares Silver Trust (SLV) returned +101.9% including dividends, versus +75.9% for the S&P 500 (SPY). It beat the index by 26.0 percentage points, or +15.1% a year against +12.0%.

PeriodSLVS&P 500SLV per yearS&P 500 per yearResult
1 year+1.3%+12.0%+1.3%+12.0%Lagged
3 years+112.6%+87.4%+28.6%+23.3%Beat
5 years+101.9%+75.9%+15.1%+12.0%Beat
10 years+162.8%+316.3%+10.1%+15.3%Lagged
  • 1 year
    SLV
    +1.3%
    S&P 500
    +12.0%
    SLV per year
    +1.3%
    S&P 500 per year
    +12.0%
    Result
    Lagged
  • 3 years
    SLV
    +112.6%
    S&P 500
    +87.4%
    SLV per year
    +28.6%
    S&P 500 per year
    +23.3%
    Result
    Beat
  • 5 years
    SLV
    +101.9%
    S&P 500
    +75.9%
    SLV per year
    +15.1%
    S&P 500 per year
    +12.0%
    Result
    Beat
  • 10 years
    SLV
    +162.8%
    S&P 500
    +316.3%
    SLV per year
    +10.1%
    S&P 500 per year
    +15.3%
    Result
    Lagged

Total return with dividends reinvested, from month-end prices to Oct 30, 2026. Beating the index on raw return is only half the story: the next section adjusts for the risk taken. See also how to beat the S&P 500.

SLV returns by year vs the S&P 500

SLV beat the S&P 500 in 3 of the 9 full calendar years shown.

YearSLVS&P 500Difference
2026 (to Oct 30, 2026)−30.8%+11.7%−42.5%
2025+144.7%+17.7%+127.0%
2024+20.9%+24.9%−4.0%
2023−1.1%+26.2%−27.3%
2022+2.4%−18.2%+20.6%
2021−12.5%+28.7%−41.2%
2020+47.3%+18.3%+29.0%
2019+14.9%+31.2%−16.3%
2018−9.2%−4.6%−4.6%
2017+5.8%+21.7%−15.9%

SLV risk-adjusted returns: Sharpe, Sortino and volatility

Over 5 years, SLV had a Sharpe ratio of 0.48 against 0.58 for the S&P 500, so it earned less return per unit of risk than the index. Its annualized volatility was 33.2% and its beta 0.54: it tended to move about 0.5× as much as the market.

MetricSLVS&P 500
Annual return+15.1%+12.0%
Volatility (annualized)33.2%15.5%
Sharpe ratio0.480.58
Sortino ratio0.770.91
Max drawdown (month-end)−47.5%−23.9%
Beta to the S&P 5000.541.00

Sharpe divides return above cash by total volatility; Sortino counts only downside volatility. Both use monthly returns and the 1–3 month T‑bill ETF (BIL) as the risk‑free rate.

How SLV behaved in past crashes

SLV’s deepest fall in the crises below was −57.1% in the global financial crisis (2007–09), against −56.5% for the S&P 500. The last column turns that into money: what a $100,000 position would have lost from peak to trough.

CrisisSLVS&P 500Loss on $100,000
Global financial crisis (2007–09)−57.1%−56.5%−$57,080
2018 trade-war selloff−5.1%−20.2%−$5,120
COVID crash (Feb–Mar 2020)−35.6%−34.1%−$35,570
2022 inflation bear market−33.0%−25.4%−$33,010
2025 tariff selloff−13.5%−19.0%−$13,540
WindowSLV max drawdown
Last 1 year−42.5%
Last 3 years−42.5%
Last 5 years−42.5%
Last 10 years−42.8%

Peak‑to‑trough declines from daily prices inside each crisis window. A crash replay does not predict the next crisis; it shows how much room a holding needs. Run the same replay on a whole portfolio with the crash test.

What moves with SLV, and what doesn’t

Correlation runs from −1 (moves opposite) to +1 (moves in lockstep). Over the last 60 months of monthly returns, SLV’s correlation with the S&P 500 was 0.25, with the Nasdaq‑100 0.19, with long Treasuries (TLT) 0.24 and with gold (GLD) 0.81.

Adding a 5% SLV position to an S&P 500 portfolio would have moved its 5‑year volatility from 15.5% to 15.2%.

Least correlated large capsCorrelationMost correlated large capsCorrelation
PANW−0.18NEM0.66
PGR−0.13SCCO0.62
NET−0.11FCX0.55
MPC−0.10VZ0.36
MRVL−0.09GOOGL0.34

Holdings that are highly correlated behave like one position in a selloff. See how to find hidden overlap.

The right benchmark for SLV

Exent matches every holding to the index with the most similar risk. For SLV that is SPY (the S&P 500). Comparing a holding with an index that carries very different risk makes good results look bad and risky ones look clever. Read why the S&P 500 is the wrong benchmark for most portfolios.

Other popular ETFs

TickerName5‑year returnVolatility (5y)
SPCXSPAC and New Issue ETF+455.5%8.3%
VTIVanguard Total Stock Market Index Fund ETF Shares+68.1%17.4%
VOOVanguard S&P 500 ETF+76.5%16.8%
IVViShares Core S&P 500 ETF+76.5%16.9%
SPYState Street SPDR S&P 500 ETF Trust+75.9%17.0%
1557.TSPDR S&P 500 ETF Trust+78.6%20.7%
VXUSVanguard Total Intl Stock Idx Fund+47.5%16.0%
QQQInvesco QQQ Trust+84.3%22.3%

Data and methodology

Returns are total returns from month‑end adjusted closing prices (dividends reinvested) through Oct 30, 2026. Crisis drawdowns and trailing maximum drawdowns use daily prices. Analyst coverage counts ratings published in the last 12 months, shown with a 30‑day delay. Full method: Exent methodology.

Holdings and weights are the fund’s latest published holdings; ETF overlap compares those holdings stock by stock.

Past performance does not guarantee future results. Historical figures are calculated by Exent from market data and are for education only; they are not investment advice or a recommendation to buy or sell any security.

See what SLV does to your own portfolio

  1. Upload a screenshot of your holdings (or a CSV, Excel, PDF or Google Sheet); no brokerage login.
  2. Exent replays your whole portfolio, SLV included, through the 2008, 2018, 2020, 2022 and 2025 selloffs and shows which holdings drive the losses.
  3. It finds holdings that move together with SLV and compares your portfolio with a risk‑matched benchmark, Sharpe and Sortino included.
  4. Use the what‑if simulator to change weights and see the effect before you trade.

Exent is our product. Educational content, not investment advice.

Frequently asked questions

No. SLV returned +162.8% (+10.1% a year) over the 10 years to Oct 30, 2026, versus +316.3% (+15.3% a year) for the S&P 500, including dividends.

SLV fell −57.1% from peak to trough during the global financial crisis (2007–09), versus −56.5% for the S&P 500.

SLV fell −35.6% from peak to trough during the covid crash (feb–mar 2020), versus −34.1% for the S&P 500.

SLV fell −33.0% from peak to trough during the 2022 inflation bear market, versus −25.4% for the S&P 500.

Over the 5 years to Oct 30, 2026, SLV’s Sharpe ratio was 0.48 and its Sortino ratio 0.77, versus 0.58 and 0.91 for the S&P 500.

SLV’s 5‑year annualized volatility was 37.1%, higher than the S&P 500’s 17.0%, with a beta of 0.54.

Among large US stocks, the lowest correlations with SLV over the last 60 months were PANW (−0.18), PGR (−0.13), NET (−0.11). Its correlation with long Treasuries (TLT) was 0.24 and with gold (GLD) 0.81.

What would SLV do to your portfolio?

Exent replays your whole portfolio through the same crashes, finds holdings that move together and compares you with a risk‑matched benchmark. Upload a screenshot; results in about a minute.

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Educational content, not investment advice. Examples are illustrative; past performance does not guarantee future results.

DISCLAIMER: Exent AI is an informational research platform and does not provide investment advice, financial advice, or act as an investment adviser, broker-dealer, or fiduciary. All content, analytics, and model outputs are provided for educational and informational purposes only and should not be relied upon as a recommendation to buy, sell, or hold any financial instrument. Investing involves risk, including the possible loss of principal. Exent AI does not execute trades, hold customer funds, or provide brokerage services. Past performance and hypothetical results are not indicative of future results. Third-party data and AI-generated outputs may be incomplete or inaccurate.