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Compare Okta, Inc. (OKTA) vs Invesco S&P 500 High Div Low Volatility ETF (SPHD) Price & Performance

Okta, Inc.Trade
Invesco S&P 500 High Div Low Volatility ETFTrade

Price performance (Past 24H)

Key statistics

Okta, Inc. vs Invesco S&P 500 High Div Low Volatility ETF — how do they compare? Okta, Inc. trades at $231.91 (market cap $38.50B), while Invesco S&P 500 High Div Low Volatility ETF trades at $48.79 (market cap $3.14B). The key difference: Okta, Inc. is far larger — about 12.3× Invesco S&P 500 High Div Low Volatility ETF's market cap, and Okta, Inc. is trading nearer its 52-week high, Invesco S&P 500 High Div Low Volatility ETF nearer its low. Which is the better fit depends on your goals — on Pluang, investors hold Okta, Inc. for 44 Days and Invesco S&P 500 High Div Low Volatility ETF for 125 Days on average.

OKTASPHD
Market Cap
$38.50B$3.14B
Volume
2,479,6211,461,349
Sector
Technology—
52-Week High
$220.21$53.55
52-Week Low
$62.93$46.96
Typical Hold Time
44 Days125 Days
Enterprise Value
$36.25B—

Aura AI Summary

Signals from Pluang's Aura AI — not financial advice

Okta, Inc.

Okta's stock trades at $228.38, up 4.76% in the last 24 hours, reflecting strong momentum. The company has beaten earnings estimates for three consecutive quarters, with Q3 2026 results pending. Revenue growth is robust, rising from $1.3B in 2022 to $2.6B in 2025, and profitability has improved significantly, turning a net loss into a $28M profit. Technical indicators show a bullish trend, with the current price near resistance at $228. Recent news highlights Okta's strategic focus on AI agent security, positioning it for future growth in the cybersecurity sector.

The outlook for Okta is positive, driven by strong earnings performance, revenue expansion, and strategic initiatives in AI. However, risks include high valuation multiples, such as a P/E of 132.66, and competitive pressures in the cybersecurity space. Analyst consensus is overwhelmingly bullish, with 73.58% recommending Buy, but investors should monitor execution risks and market volatility.

Invesco S&P 500 High Div Low Volatility ETF

SPHD trades at $48.71, up 1.08% with a bearish technical outlook showing 17 sell signals versus 4 buys. The ETF focuses on high dividend yield and low volatility S&P 500 stocks, offering monthly income distribution. Recent dividend payments of $0.20-$0.21 demonstrate consistent income generation, though technical indicators suggest near-term pressure.

While SPHD provides attractive monthly dividends for income-focused investors, the bearish technical signals and concerns about total return performance compared to peers like SCHD present near-term headwinds. The fund's low volatility mandate may provide defensive positioning during market uncertainty, but investors should weigh income benefits against potential capital appreciation limitations.

Returns comparison

Trailing returns across standard periods

Investor sentiment on Pluang

What Pluang investors did over the last 30 days

OKTA
43% Buy57% Sell
Avg holding period · 44 Days
SPHD
82% Buy18% Sell
Avg holding period · 125 Days

Top news

Latest headlines on both assets

About Okta, Inc.

Okta is a cloud-native security company that focuses on identity and access management. The San Francisco-based firm went public in 2017 and focuses on two key client stakeholder groups: workforces and customers. Okta's workforce offerings enable a company's employees to securely access its cloud-based and on-premises resources. The firm's customer offerings allow its clients' customers to securely access the client's applications.

Read more on OKTA →

About Invesco S&P 500 High Div Low Volatility ETF

The fund generally will invest at least 90% of its total assets in the securities that comprise the underlying index. Strictly in accordance with its guidelines and mandated procedures, S&P Dow Jones Indices LLC (the “index Provider”) compiles, maintains and calculates the underlying index, which is designed to measure the performance of 50 least volatile high yielding constituents of the S&P 500 ® Index in the past year.

Read more on SPHD →