How much AUM does IWF have?

iShares Russell 1000 Growth ETF manages approximately $111.8B in assets under management.

How many holdings does IWF have?

iShares Russell 1000 Growth ETF holds 389 securities. The top holding is NVIDIA CORPORATION at 12.9% weight.

What is IWF's weighted P/E ratio?

The holdings-weighted P/E ratio for iShares Russell 1000 Growth ETF is 33.9x, calculated from constituent stock valuations.

How concentrated is IWF?

iShares Russell 1000 Growth ETF has an HHI concentration score of 498. This indicates a well-diversified portfolio.

ETF · Large Growth

iShares Russell 1000 Growth ETF(IWF)

$128.29

-0.37%

—

Expense Ratio

$111.8B

Total AUM

—

Holdings

—

Inception

Active Share vs VOO

Moderate

0%20%60%100%

41.9%

AI Look-Through Summary

AI Generated

The iShares Russell 1000 Growth ETF maintains a pronounced bias toward large-cap growth equities, with technology dominating the portfolio at nearly half of its total assets. This sectoral concentration is driven by an exceptionally heavy weighting in mega-cap names such as Nvidia, Apple, and Microsoft, which collectively account for over thirty percent of the fund's exposure alone. The top ten holdings are heavily skewed toward these three sectors, leaving significant portions of the Russell 1000 Growth index underrepresented relative to their broader market relevance. Consequently, the ETF exhibits a distinct geographic tilt that mirrors its sectoral focus; since these dominant technology and consumer cyclical firms are predominantly US-based headquarters entities with global revenue streams but no separate international weighting provided in the data, the fund's performance will be intrinsically tied to the valuation trajectories of American innovation leaders rather than diversified global markets.

Quantitatively, the sheer scale of asset management at over one hundred billion dollars indicates that this vehicle serves as a primary proxy for aggressive growth strategies within the large-cap universe. The high concentration in semiconductor and software giants suggests that returns will correlate strongly with capital expenditure cycles in artificial intelligence and digital infrastructure, while simultaneously introducing elevated idiosyncratic risk if these specific leaders face regulatory headwinds or earnings misses. With communication services and healthcare providing only modest diversification buffers at roughly seven to eleven percent each, the fund lacks significant exposure to defensive sectors like utilities or consumer staples that typically stabilize portfolios during economic downturns. The data reflects a pure-play approach where portfolio volatility is likely amplified by the movement of just a handful of constituent stocks rather than being smoothed out across a broader industrial base.

Generated by Qwen-32B from constituent-level data. Not investment advice. Updated: 2026-05-24 01:11:01.351197+00

🔍 Theme Alignment Audit

AI GeneratedPurity: 95/100

The investment theme implied by the fund's name, which targets large-cap U.S. growth equities, aligns almost perfectly with its actual portfolio composition. The top holdings are dominated by industry leaders in technology and consumer cyclical sectors, specifically NVIDIA, Apple, Microsoft, Amazon, Tesla, Google, Meta, and Netflix. These companies represent the quintessential high-growth drivers within their respective industries, confirming that the fund successfully captures the intended investment style without significant deviation into unrelated value-oriented or defensive stocks. The portfolio structure relies heavily on mega-cap names to stabilize returns while maintaining a clear focus on firms with substantial revenue expansion potential, ensuring the underlying assets match the broad growth mandate suggested by its classification.

Sector weights demonstrate strong coherence with the stated objective of capturing large-cap growth, as technology constitutes nearly half of the total allocation at 48.8%. This heavy weighting is consistent with historical performance patterns for U.S. growth indices where software and semiconductor leaders often drive market returns. The secondary allocations in consumer cyclical and communication services further reinforce this thematic consistency, while healthcare and financial services provide necessary diversification without diluting the core growth narrative. Although the fund tracks a broad index rather than offering unique differentiation from general large-cap strategies, its construction remains faithful to the definition of Russell 1000 Growth. The high concentration in the top ten holdings reflects the inherent nature of such indices where market leaders naturally accumulate significant weight, resulting in a portfolio that is both thematically pure and structurally consistent with standard growth investing principles.

AI analysis of holdings alignment vs fund theme. Not investment advice. Updated: 2026-05-24 02:22:07.894122+00

⚠️ Systemic Risk Synthesis

AI Generated

The newly disclosed risk factors across the top holdings of this growth-oriented fund highlight a convergence of three primary systemic threats. A significant portion of these disclosures centers on regulatory compliance regarding climate change and environmental standards, suggesting that macro-level policy shifts could materially impact financial conditions for major technology and healthcare players simultaneously. Furthermore, there is a pronounced emphasis on cybersecurity and data privacy requirements, indicating that operational costs may rise as companies navigate increasingly stringent digital governance frameworks. Finally, the specific inclusion of AI regulation risks by key constituents points to an emerging uncertainty where future compliance mandates could alter competitive dynamics within high-growth sectors.

The concentration of these risk categories among the largest weighted positions signals a potential for correlated downside exposure. With NVIDIA alone accounting for nearly 13% of the portfolio and flagging all three major regulatory themes, combined with similar disclosures from other top-tier holdings like Apple and Microsoft in cybersecurity and environmental areas, the fund lacks sufficient diversification against these specific policy vectors. If regulators enact broad measures affecting data privacy or AI deployment across the tech sector, a substantial portion of this ETF's value could be subject to synchronized headwinds rather than isolated company-specific events. This clustering suggests that macro-regulatory developments in technology and sustainability are becoming a dominant source of variance for the fund's performance profile.

While systemic risks loom large over the entire portfolio, certain disclosures carry disproportionate weight due to their allocation size. NVIDIA's 12.9% stake means that any material adverse impact from climate regulations or AI compliance costs would directly translate into significant volatility for the fund as a whole. Similarly, while other holdings like Amazon and Meta also face cybersecurity and operational cost pressures stemming from data privacy laws, their lower individual weights relative to NVIDIA mean these factors are less likely to drive singular portfolio movements on their own. The interplay between high-weight specific vulnerabilities and broader sector-wide regulatory trends creates a complex risk landscape where macro policy decisions could have amplified effects through the fund's largest single position.

Synthesized from constituent 10-K risk factor disclosures. Not investment advice. Updated: 2026-05-24 11:32:41.491854+00

🏢 Sector Analysis

AI Generated

The iShares Russell 1000 Growth ETF exhibits a pronounced sector bias toward technology, which accounts for nearly half of the portfolio's total allocation. This heavy weighting is further reinforced by an extreme concentration within the top five holdings, all of which are major technology leaders, resulting in a combined exposure that significantly outweighs any other single industry group. The fund also maintains meaningful positions in consumer cyclical and communication services sectors, both of which historically correlate with growth-oriented equities, while healthcare provides a moderate diversification buffer despite its relatively small share. In contrast, traditional defensive sectors such as utilities, energy, basic materials, and real estate represent negligible portions of the portfolio, indicating that the fund is not constructed to provide stability during market downturns driven by interest rate sensitivity or commodity price fluctuations.

This allocation structure strongly suggests an investment thesis centered on capturing capital appreciation from large-cap companies with high growth potential rather than income generation or value preservation. The aggressive tilt toward mega-cap technology firms implies a belief in continued expansion of digital infrastructure, software adoption, and semiconductor demand. However, the top-ten concentration metric reveals substantial idiosyncratic risk; performance will be heavily influenced by the specific operational outcomes of just a handful of issuers rather than broad market trends across diverse industries. While this approach may amplify returns during bull markets driven by innovation cycles, it simultaneously exposes the fund to heightened volatility if these leading names face regulatory headwinds or earnings disappointments that disproportionately impact their stock prices relative to smaller peers in less concentrated sectors.

AI-generated sector analysis from constituent-level data. Not investment advice. Updated: 2026-05-22 04:00:19.454076+00

Flow Driver Analysis

2-Step Circle

Which larger ETFs share IWF's holdings — and mechanically drive its price through index rebalancing flows?

Approximately 100% of IWF's weight flows through these larger ETFs

Driver ETF	AUM	Expense	Shared Stocks	Weight Overlap
ITOTiShares Core S&P Total U.S. Stock Market ETF	$80B	—	365	98.9%
SCHBSchwab U.S. Broad Market ETF	$37B	—	358	98.1%
SCHXSCHX	$61B	—	289	97.6%
URTHiShares MSCI World ETF	$7B	—	227	97.3%
ACWIiShares MSCI ACWI ETF	$28B	—	227	97.3%

99% of IWF's portfolio by weight is also held by ITOT. When ITOT receives inflows, it mechanically buys these shared stocks — dragging IWF's NAV along regardless of any thematic or sector catalyst. Combined, the top 5 overlapping ETFs control exposure to 100% ofIWF's weight.

Overlap computed from constituent-level holdings data across 5 ETFs. Price co-movement with driver ETFs is structural, not coincidental. Not investment advice.

ETF Look-Through Dashboard

Replaces $249/yr Morningstar

Peer through the ETF wrapper to see exactly what you own. Every metric is computed from constituent-level data.

33.9x

Weighted P/E

Harmonic weighted-average P/E across constituents. Excludes negative earnings. Resistant to outlier distortion.

20.89x

Weighted P/B

Weighted-average price-to-book ratio of constituent holdings.

0.40%

Dividend Yield

$2.2T

Wtd Avg Market Cap

Weighted metrics calculated based on 93% of fund assets with available data.

Herfindahl-Hirschman Concentration Index

Well Diversified

Top 5: 42.7%Top 10: 59.3%

Morningstar-Style Box

Value

Blend

Growth

Large

Mid

Small

Large Growth

Sector & Cap Explorer

Visualization Mode

ETF Fundamental Radar

Total Analysis

93% Weight

Market Cap

Mega

Risk Profile

Low Risk

Operational health is mixed, with the bulk of weight in the mid-range (4–6) Piotroski scores.

Piotroski F-Score (Operational Health)

Score 0-9: Measures Profitability, Leverage, and Efficiency

↑ Weight (%)100%80%60%40%20%

0–3 Weak

60%

4–6 Average

33%

7–9 Strong

Based on 93% of fund weight with Piotroski data.

Computed by rolling up individual stock Piotroski F-Scores, Altman Z-Scores, and Beneish M-Scores weighted by each constituent's allocation. Data that Vanguard and BlackRock don't surface.

Dividend Safety True-Up

Deterministic

27%

Wtd FCF Payout Ratio

0.35%

TTM Yield

Very Safe

Dividend Durability

27% of FCF

0% (retains all cash)50%100% (pays out everything)

The dividend-paying companies inside IWF collectively pay out 27% of their Free Cash Flow to maintain the current yield. This leaves a substantial cash buffer, making dividend cuts unlikely even in a downturn. Based on 73% of fund weight in dividend-paying stocks.

FCF Payout Ratio = Dividends Paid / Free Cash Flow, weighted by constituent allocation. Not investment advice.

Earnings vs. Price Decomposition

Proprietary

-68.2%

ETF 1Y Return

+43.9%

Wtd Earnings Growth

-112.1%

Multiple Contraction

IWF is down 68.2% over the last 12 months. The underlying weighted earnings growth of its constituents is +43.9%. Despite earnings growth, valuations have contracted by 112.1% — the market is paying less per dollar of earnings than a year ago.

Earnings growth = weighted average YoY EPS growth of all constituents (capped at ±500% to limit outlier distortion). Based on 92% of fund weight with earnings data. Not investment advice.

Value Creation Map

ROIC vs WACC

What percentage of IWF's weight is allocated to companies that create economic value (ROIC > WACC) vs. destroy it?

87% Creators

13% Destroyers

Value Creators (ROIC > WACC)78.6%

Value Destroyers11.7%

Of IWF's analyzed weight, 87% is invested in companies earning more than their cost of capital — genuine value creators. The remaining 13% consists of companies whose ROIC falls below their WACC, effectively destroying shareholder value with every dollar invested.

ROIC-WACC spread for 90% of fund weight with available data. Not investment advice.

Concentration Risk Monitor

HIGH

12.9%

Largest Holding

NVDA

33.4%

Top 3 Weight

Effective # of Stocks

33%

Top Stock Var. Share

Portfolio weight concentration

NVDA

AAPL

MSFT

Other 45 stocks

NVDA at 12.9% contributes an estimated 33% of portfolio variance.IWF holds 50 stocks but behaves like an 20-stock portfolio due to weight concentration in the top holdings.

Effective # of Stocks = 1 / HHI (Herfindahl-Hirschman Index). Variance share approximated as w² / Σw². Not investment advice.

Passive Crowding Score

MODERATE

How much of each constituent's market cap is structurally locked in passive ETFs — a proxy for liquidity fragility during sell-offs.

Wtd Avg Passive Ownership11.1%

Most Crowded HoldingZTS (21.8%)

Least CrowdedGOOG (4.3%)

Coverage90% of fund weight

0 — Low255075100 — Extreme

IWF has a Passive Crowding Score of 37/100. On average, 11.1% of the market capitalization of IWF's underlying holdings is structurally locked in passive ETF vehicles. This indicates moderate passive ownership density. Index rebalances and ETF creation/redemption activity can amplify short-term volatility in the underlying holdings.

Passive $ = Σ(ETF AUM × holding weight) across all 52 tracked ETFs. Actual passive ownership is higher (includes mutual funds, pension funds). Not investment advice.

Under the Hood — Top 15 Constituents

Top 10 Concentration58.9%

#	Ticker	Company	Weight	P/E	F-Score
1	NVDA	NVIDIA CORPORATION Technology	12.92%	32.4x	4/9
2	AAPL	APPLE INC. Technology	11.64%	37.7x	8/9
3	MSFT	MICROSOFT CORPORATION Technology	8.82%	26.8x	5/9
4	AVGO	BROADCOM INC. Technology	4.79%	86.9x	8/9
5	AMZN	AMAZON.COM, INC. Consumer Cyclical	4.66%	31.7x	6/9
6	TSLA	TESLA, INC. Consumer Cyclical	3.55%	399.8x	5/9
7	GOOGL	ALPHABET INC. Communication Services	3.54%	29.0x	6/9
8	META	META PLATFORMS, INC. Communication Services	3.46%	23.0x	5/9
9	GOOG	ALPHABET INC. Communication Services	2.87%	28.7x	6/9
10	LLY	ELI LILLY AND COMPANY Healthcare	2.66%	39.2x	7/9
11	V	VISA INC. Financial Services	1.84%	28.5x	6/9
12	COST	COSTCO WHOLESALE CORPORATION Consumer Defensive	1.60%	49.8x	6/9
13	NFLX	NETFLIX, INC. Communication Services	1.47%	27.7x	6/9
14	MA	MASTERCARD INCORPORATED Financial Services	1.45%	28.6x	8/9
15	ABBV	ABBVIE INC. Healthcare	1.39%	106.2x	7/9

The bottom 374 stocks in IWF account for only 33.4% of the total fund weight.Only the top 50 holdings are shown. Total holdings: 389.

Historical Holdings Snapshots

Browse how IWF’s holdings have changed across SEC filing dates. Showing top holdings per snapshot.

2026-05-24

15 holdings · 66.6% tracked weight

#	Ticker	Weight	Shares	Market Value
1	NVDA	12.92%	82,834,542	$14.4B
2	AAPL	11.64%	51,256,314	$13.0B
3	MSFT	8.82%	26,639,324	$9.9B
4	AVGO	4.79%	17,296,146	$5.4B
5	AMZN	4.66%	25,000,999	$5.2B
6	TSLA	3.55%	10,670,928	$4.0B
7	GOOGL	3.54%	13,741,862	$4.0B
8	META	3.46%	6,753,477	$3.9B
9	GOOG	2.87%	11,189,213	$3.2B
10	LLY	2.66%	3,230,456	$3.0B
11	V	1.84%	6,787,836	$2.1B
12	COST	1.60%	1,789,799	$1.8B
13	NFLX	1.47%	17,089,449	$1.6B
14	MA	1.45%	3,243,868	$1.6B
15	ABBV	1.39%	7,143,618	$1.6B

2026-05-23

15 holdings · 66.6% tracked weight

#	Ticker	Weight	Shares	Market Value
1	NVDA	12.92%	82,834,542	$14.4B
2	AAPL	11.64%	51,256,314	$13.0B
3	MSFT	8.82%	26,639,324	$9.9B
4	AVGO	4.79%	17,296,146	$5.4B
5	AMZN	4.66%	25,000,999	$5.2B
6	TSLA	3.55%	10,670,928	$4.0B
7	GOOGL	3.54%	13,741,862	$4.0B
8	META	3.46%	6,753,477	$3.9B
9	GOOG	2.87%	11,189,213	$3.2B
10	LLY	2.66%	3,230,456	$3.0B
11	V	1.84%	6,787,836	$2.1B
12	COST	1.60%	1,789,799	$1.8B
13	NFLX	1.47%	17,089,449	$1.6B
14	MA	1.45%	3,243,868	$1.6B
15	ABBV	1.39%	7,143,618	$1.6B

2026-05-22

15 holdings · 66.7% tracked weight

#	Ticker	Weight	Shares	Market Value
1	NVDA	12.21%	82,454,537	$15.4B
2	AAPL	11.11%	51,503,305	$14.0B
3	MSFT	10.13%	26,389,700	$12.8B
4	AVGO	4.73%	17,233,744	$6.0B
5	AMZN	4.53%	24,717,705	$5.7B
6	TSLA	3.81%	10,660,136	$4.8B
7	META	3.64%	6,954,043	$4.6B
8	GOOGL	3.43%	13,815,837	$4.3B
9	LLY	2.86%	3,350,683	$3.6B
10	GOOG	2.80%	11,249,447	$3.5B
11	V	1.96%	7,040,489	$2.5B
12	MA	1.52%	3,364,612	$1.9B
13	ABBV	1.34%	7,409,476	$1.7B
14	NFLX	1.32%	17,725,488	$1.7B
15	PLTR	1.29%	9,135,831	$1.6B

2026-05-21

15 holdings · 66.7% tracked weight

#	Ticker	Weight	Shares	Market Value
1	NVDA	12.21%	82,454,537	$15.4B
2	AAPL	11.11%	51,503,305	$14.0B
3	MSFT	10.13%	26,389,700	$12.8B
4	AVGO	4.73%	17,233,744	$6.0B
5	AMZN	4.53%	24,717,705	$5.7B
6	TSLA	3.81%	10,660,136	$4.8B
7	META	3.64%	6,954,043	$4.6B
8	GOOGL	3.43%	13,815,837	$4.3B
9	LLY	2.86%	3,350,683	$3.6B
10	GOOG	2.80%	11,249,447	$3.5B
11	V	1.96%	7,040,489	$2.5B
12	MA	1.52%	3,364,612	$1.9B
13	ABBV	1.34%	7,409,476	$1.7B
14	NFLX	1.32%	17,725,488	$1.7B
15	PLTR	1.29%	9,135,831	$1.6B

2026-05-20

15 holdings · 66.7% tracked weight

#	Ticker	Weight	Shares	Market Value
1	NVDA	12.21%	82,454,537	$15.4B
2	AAPL	11.11%	51,503,305	$14.0B
3	MSFT	10.13%	26,389,700	$12.8B
4	AVGO	4.73%	17,233,744	$6.0B
5	AMZN	4.53%	24,717,705	$5.7B
6	TSLA	3.81%	10,660,136	$4.8B
7	META	3.64%	6,954,043	$4.6B
8	GOOGL	3.43%	13,815,837	$4.3B
9	LLY	2.86%	3,350,683	$3.6B
10	GOOG	2.80%	11,249,447	$3.5B
11	V	1.96%	7,040,489	$2.5B
12	MA	1.52%	3,364,612	$1.9B
13	ABBV	1.34%	7,409,476	$1.7B
14	NFLX	1.32%	17,725,488	$1.7B
15	PLTR	1.29%	9,135,831	$1.6B

2026-05-19

15 holdings · 66.7% tracked weight

#	Ticker	Weight	Shares	Market Value
1	NVDA	12.21%	82,454,537	$15.4B
2	AAPL	11.11%	51,503,305	$14.0B
3	MSFT	10.13%	26,389,700	$12.8B
4	AVGO	4.73%	17,233,744	$6.0B
5	AMZN	4.53%	24,717,705	$5.7B
6	TSLA	3.81%	10,660,136	$4.8B
7	META	3.64%	6,954,043	$4.6B
8	GOOGL	3.43%	13,815,837	$4.3B
9	LLY	2.86%	3,350,683	$3.6B
10	GOOG	2.80%	11,249,447	$3.5B
11	V	1.96%	7,040,489	$2.5B
12	MA	1.52%	3,364,612	$1.9B
13	ABBV	1.34%	7,409,476	$1.7B
14	NFLX	1.32%	17,725,488	$1.7B
15	PLTR	1.29%	9,135,831	$1.6B

Source: SEC filings and fund provider disclosures. Shows last 6 snapshot dates, top 15 holdings per date by weight.

Risk Profile

22.4%

Annual Volatility

1.18

Sharpe (1Y)

-16.0%

Max Drawdown (5Y)

Sharpe = risk-adjusted return (higher is better). Computed from 1,200+ trading days with 5% risk-free rate.

Fama-French 5-Factor Exposure

Academic factor model decomposition — what's really driving this ETF's returns.

1.13

Market β

-0.099

Size (SMB)

Neutral

-0.267

Value (HML)

Growth tilt

+0.066

Profit (RMW)

Neutral

-0.181

Invest (CMA)

Aggressive

Alpha (annual): -1.00%

R²: 98.2%of variance explained by 5 factors

Fama-French 5-Factor Model. Data: Kenneth French Data Library. Regression over 3 years of daily returns.

Price Chart with Moving Averages

Loading chart...

What Drove IWF Today?

Daily return attribution — which holdings contributed most (and least) to the fund's move.

Fund move:-0.37%(2026-06-02)

Top Contributors

AAPL

+0.146%

TSLA

+0.069%

LLY

+0.060%

Top Detractors

AMZN

-0.037%

GOOGL

-0.043%

NVDA

-0.246%

Attribution = holding weight × stock daily return. Only the top contributors and detractors are shown.

Technical Setup

AI Generated

The iShares Russell 1000 Growth ETF is currently trading at $125.00, presenting a snapshot of its valuation within the large growth sector without explicit directional bias from this single data point. To fully assess momentum and trend strength, one would typically examine whether this price sits above or below key moving averages; however, with only the current price provided, the position relative to these dynamic benchmarks remains undefined in this specific summary. The absence of average data prevents a definitive conclusion on whether short-term trends are bullish or bearish based solely on mean reversion principles. Regarding short-term momentum indicators like the Relative Strength Index (RSI), no numerical value is available to determine if the asset is experiencing overbought conditions, oversold states, or neutral consolidation phases. Without this metric, it is impossible to gauge the velocity of recent price changes or identify potential exhaustion in current moves. Consequently, while the stock resides firmly within the large growth classification at its stated level, a comprehensive technical assessment requires additional layers of data such as moving average crossovers and oscillator readings to contextualize the $125.00 figure against broader market dynamics.

Underwater (Drawdown from Peak)

How far below the all-time high the price has been over time. Deeper = more pain for holders.

Loading drawdown chart...

Rolling 60-Day Beta vs S&P 500 (VOO)

How the ETF's sensitivity to market moves changes over time. β > 1 = more volatile than the market.

Loading beta chart...

Rolling Beta Market (β = 1.0)

Yield & Income

0.35%

TTM Yield

—

30-Day SEC Yield

—

5Y Div CAGR

Sector Drift Over Time

How IWF’s sector allocation has shifted across snapshots. Use the slider to travel through time.

Technology48.5%

Consumer Cyclical11.8%

Communication Services11.8%

Other7.2%

Healthcare7.2%

Financial Services4.9%

Industrials4.4%

Consumer Defensive2.8%

Real Estate0.4%

Energy0.3%

Basic Materials0.3%

Utilities0.3%

Change since 2026-03-26

Industrials

+0.6%

Consumer Defensive

+0.5%

Financial Services

-0.4%

Technology

-0.3%

Other

-0.3%

Consumer Cyclical

-0.1%

2026-03-262026-05-24

Active Conviction Tracker

Shares bought and sold between the latest two data snapshots — reveals what the fund manager is actually doing.

No position changes detected between snapshots.

AUM & Capital Flow Tracker

Estimated assets under management derived from SEC filings and daily price movements — tracks how the fund's value evolves over time.

Total Net Assets

$112.40B

Est. AUM Change (90d)

$-305.70B

Price Change (90d)

-72.60%

Filing Snapshots

Estimated AUMTNA Filing Date

Estimated AUM derived from the latest SEC N-PORT filing TNA ($112.40B) scaled by daily price changes. Filing snapshots update when new regulatory filings are published (quarterly for most funds, daily for ARK).

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Quant metrics computed deterministically from financial statements and price data. Updated: 2026-06-02.

SecuritiesDB is for informational purposes only. Not investment advice.