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UPRO ETF Analytics

Fund Profile · Cost · Size · Liquidity · Exposure

Financial ServicesAsset Management - LeveragedScore data as of Sep 4, 2026

UPRO

ETF Analytics
ProShares - UltraPro S&P500
Financial Services· Asset Management - Leveraged
AIQ Score
NeutralAIQ Edge 3/10
Low Priority
Relative Laggard
Score data as of Sep 4, 2026
Last price
$151.88
-$1.85 (-1.20%)
Latest market quote
Momentum57
Value37
Quality59
Risk Resilience35
Sentiment
View financial data

ETF Analytics Snapshot

Current ETF evidence uses fund profile, cost, size, distribution, momentum, and risk fields.

Price
$151.88
As of Sep 4, 2026
Fund size
$5.45B
Expense ratio
0.89%
Distribution yield
1.08%
ProShares ETF evidence

ETF pages use fund-native profile fields for cost, size, liquidity, holdings breadth, NAV, issuer, and launch date.

Review ETF analytics
Holdings
522
NAV
$149.06
Average volume
4.36M
Inception
Jun 23, 2009
Asset class
Equity
Primary exposure
Basic Materials (0.94%)
Beta
3.03
Momentum score
57/100

ETF Fundamentals Overview

Fund-native evidence replaces stock-only quarterly statement fields for ETF pages.

Fund profile

FieldValue
Fund nameProShares - UltraPro S&P500
IssuerProShares
Asset classEquity
Primary exposureBasic Materials (0.94%)
DomicileUS
Inception dateJun 23, 2009
Websitehttps://www.proshares.com/our-etfs/leveraged-and-inverse/upro

Current ETF metrics

FieldValue
Fund size$5.45B
Expense ratio0.89%
Holdings count522
NAV$149.06
Average volume4.36M
Distribution yield1.08%
Beta3.03

Top Holdings

517 reported holdings; top five weight 58.30%.

SymbolHoldingWeightMarket value
UPRONet Other Assets (Liabilities)26.32%$1.48B
IQMMPROSHARES GENIUS MNY MKT ETF19.98%$1.13B
UPROTREASURY BILL4.33%$244.17M
NVDANVIDIA CORP4.10%$231.12M
AAPLAPPLE INC3.57%$201.35M
MSFTMICROSOFT CORP2.81%$158.28M
AMZNAMAZON.COM INC1.88%$105.86M
GOOGLALPHABET INC-CL A1.49%$83.82M
AVGOBROADCOM INC1.25%$70.63M
GOOGALPHABET INC-CL C1.19%$66.9M

ETF Exposure

Sector and country weights from ETF snapshot data where available.

Sector exposure
FieldValue
Basic Materials0.94%
Cash & Others28.94%
Communication Services4.77%
Consumer Cyclical4.61%
Consumer Defensive2.25%
Energy1.77%
Financial Services26.70%
Healthcare4.65%
Country exposure
FieldValue
United States75.75%
Other23.05%
Ireland0.59%
United Kingdom0.22%
Switzerland0.15%
Singapore0.14%
Netherlands0.04%
Bermuda0.04%

ETF Risk-Adjusted Context

Risk and return-efficiency metrics sit beside fund structure rather than company financial statements.

AIQ Score
48/100

Composite research read.

Sharpe Ratio
1.1

Return per unit of total volatility.

Sortino Ratio

Return per unit of downside volatility.

Max Drawdown
-26.95%

Largest trailing drawdown in the risk window.

Momentum
57/100

Trend and price behavior.

Value Exposure
37/100

Relative valuation/exposure context.

Risk
35/100

Volatility and downside resilience.

Annual Volatility
38.36%

Annualized realized volatility.

ETF analytics context
How to read UPRO's ETF profile

Read cost, fund size, liquidity, holdings breadth, NAV, distribution yield, and exposure together. ETF analytics should not be judged by company-only fields such as revenue, EPS, margins, or payout ratio when those rows are not applicable.

Analysis tools

Export and portfolio tools complement the ETF evidence above.

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See how ETF evidence contributes to the full analysis workspace.

How to Read a Fundamental Profile

Fundamental analysis is the discipline of estimating what a business is worth by examining the financial evidence it produces: how much it earns, how efficiently it converts revenue to cash, how much capital it uses to produce those earnings, and whether the current price compensates an investor for the risks of holding it. The metrics on this page are organized into six evidence buckets -- valuation, profitability, leverage, growth, efficiency, and company size -- because each bucket answers a different question. Valuation multiples answer whether the market price is cheap or expensive relative to underlying earnings power. Profitability answers whether the business model is inherently strong or thin. Leverage answers whether the balance sheet is durable under stress. No single ratio tells a complete story; the analysis is about how the full set hangs together.

The single most diagnostic question in fundamental analysis is whether a business generates returns on invested capital above its cost of capital. A business that earns 20% ROIC while its cost of capital is 9% is compounding value for shareholders at an 11-point spread -- and the market will typically pay a meaningful premium to book value for that privilege. A business that earns 8% ROIC against a 10% cost of capital is destroying economic value even if reported earnings are growing, because growth at below-cost returns dilutes per-share value rather than building it. This is why ROIC and gross margin -- which measures the inherent advantage in the product before overhead -- are the highest-signal fundamental metrics for evaluating business quality at the model level.

Valuation multiples (P/E, EV/EBITDA, P/S, P/FCF) measure what the market currently demands per unit of earnings, sales, or cash flow. They are not independently actionable: a low P/E can indicate value or distress, and a high P/E can indicate genuine quality or speculative excess. The interpretive work is contextual -- comparing a multiple to sector peers, to the company's own history, and to the underlying growth rate. The PEG ratio (P/E divided by earnings growth rate) is a simple first-order adjustment; EV/EBITDA is more reliable for cross-capital-structure comparisons because it normalizes for debt. FCF yield (FCF / market cap) is the cleanest single valuation signal for mature businesses because it is harder to manipulate than GAAP earnings.

Growth metrics deserve careful handling. Revenue growth that outpaces earnings growth signals margin compression -- revenue expansion without profitability improvement. EPS growth that outpaces revenue growth often reflects share buybacks rather than operational leverage, which is worth distinguishing. The highest-quality growth signature is expanding ROIC alongside revenue growth: the business is finding new markets without sacrificing the economics that made the existing business attractive. Declining ROIC with accelerating revenue growth is the opposite -- scale without economics, often the precursor to a valuation reset.

How to Read This Table

  • Valuation multiples (P/E, EV/EBITDA): Compare within sector and against the company's own 5-year history before concluding cheap or expensive.
  • ROIC vs WACC spread: The most important single quality signal. Sustained ROIC above cost of capital is the foundation of durable long-term returns.
  • Gross margin: Measures inherent product economics before overhead. Declining gross margin at scale is an early warning sign.
  • Debt-to-Equity and Interest Coverage: Frame balance sheet durability. Interest coverage below 3x reduces resilience in stress.
  • FCF yield: Divide trailing free cash flow by market cap. Yields above 4-5% are generally constructive; negative FCF yield requires a clear path to conversion.
  • Revenue growth vs. EPS growth: The gap between them tells you whether scale is creating or consuming margin.

These are analytical tools, not investment recommendations. Historical patterns do not guarantee future results.

UPRO ETF Analytics FAQ

What is UPRO's expense ratio?

UPRO's expense ratio shows the annual fund cost when available. Compare it with holdings, tracking exposure, liquidity, dividend yield, and volatility.

What is UPRO's dividend yield?

UPRO's dividend or distribution yield helps investors compare income potential. It should be weighed against fund strategy, expense ratio, and risk.

How diversified is UPRO?

UPRO's diversification depends on holdings count, top-position concentration, and sector exposure. Fund size and liquidity do not automatically mean broad diversification.

Is UPRO overvalued or undervalued?

ETF valuation depends on the valuation of its underlying holdings, sector exposure, and market regime. Use fund fundamentals with risk and technical context.