ETF · Large Blend

State Street SPDR S&P 500 ETF Trust(SPY)

$743.29
-0.99%
0.09%
Expense Ratio
$640.0B
Total AUM
504
Holdings
Inception
Active Share vs VOO
Closet Indexer
0%20%60%100%
4.8%

AI Look-Through Summary

AI Generated

The portfolio's sector allocation reveals a significant overweight in Technology, which accounts for nearly 38% of its holdings. This is particularly notable given the sector's already substantial representation within the broader S&P 500 index. In contrast, sectors such as Energy and Materials are underrepresented, with combined allocations of less than 2%. The weighted P/E ratio of 27.7x suggests that the fund's underlying equities are trading at a premium to their historical averages.

The top holdings list is dominated by FAANG stocks, led by NVDA and AAPL, which together account for over 14% of the portfolio's weight. This concentration in high-growth technology names may be beneficial during periods of rapid technological advancements or economic expansion, but could also pose risks if these sectors experience a downturn. The sector mix is more growth-oriented than the broader S&P 500 index, which may make it more sensitive to changes in interest rates and macroeconomic conditions.

Generated by Qwen-32B from constituent-level data. Not investment advice. Updated: 2026-07-13 07:17:48.52614+00

🔍 Theme Alignment Audit

AI GeneratedPurity: 10/100

The investment theme implied by the name "SPDR S&P 500 ETF Trust" is a broad-based replication of the largest U.S. publicly traded companies, rather than exposure to any specific industry or factor. The actual holdings align perfectly with this mandate, as the portfolio consists entirely of constituents from diverse sectors including technology, financial services, healthcare, and energy. There are no unrelated assets that deviate from the stated objective of tracking a major market index, nor is there an over-reliance on thematic naming conventions to obscure a narrow focus; instead, the fund maintains strict adherence to its benchmark composition through a wide dispersion across sixty-nine holdings in technology alone alongside significant representation in other industries.

Sector weights demonstrate high coherence with the goal of capturing the overall performance of the U.S. equity market rather than isolating specific growth drivers or defensive plays. While Technology represents a substantial portion at 37.3%, this concentration reflects the current capitalization-weighted reality of the S&P 500 index itself, ensuring the fund remains differentiated from sector-specific strategies while still mirroring the aggregate behavior of the broader economy. The presence of major players across financials, communication services, and industrials confirms that the vehicle functions as a genuine market proxy rather than an attempt to mimic broad-market returns through narrow thematic selection, thereby fulfilling its structural role within the investment landscape without deviation from its defined scope.

AI analysis of holdings alignment vs fund theme. Not investment advice. Updated: 2026-05-22 12:14:50.209058+00

⚠️ Systemic Risk Synthesis

AI Generated

The newly disclosed risk factors across the top holdings of the State Street SPDR S&P 500 ETF Trust reveal a distinct convergence around regulatory headwinds in three critical areas: climate change compliance, data privacy and cybersecurity, and artificial intelligence governance. A significant portion of the fund's largest positions explicitly flag that adherence to evolving environmental regulations could materially impact their financial conditions, while simultaneously noting that stricter AI usage rules may increase operational costs or alter competitive dynamics. These disclosures indicate a broad macro-level threat where external regulatory frameworks are becoming primary drivers of potential cost escalation and strategic uncertainty for major technology and industrial leaders within the portfolio.

The concentration of these specific risk categories among the fund's highest-weighted assets suggests a high degree of correlated downside exposure should regulators implement stringent new mandates in these sectors. With NVIDIA, Apple, Microsoft, Amazon, Google, Meta, Broadcom, AMD, and Tesla all representing substantial portions of the total net asset value, any systemic tightening regarding carbon emissions reporting, cross-border data transfer laws, or AI liability standards could simultaneously pressure earnings across a wide swath of the index. This clustering implies that the fund is not insulated from regulatory shifts in these domains; rather, its performance may be tightly linked to how effectively this specific group of companies can navigate an increasingly complex and costly compliance landscape without eroding margins or market share.

While systemic risks dominate the current disclosures, company-specific factors also warrant attention due to their heavy weighting. NVIDIA's singular 8.3% allocation means that any material adverse impact from climate regulations or AI liability rules carries disproportionate significance for the fund compared to smaller constituents like Exxon Mobil or Johnson & Johnson. Although these other companies face similar macro trends, they are not currently highlighted with the same frequency in the provided risk factors as the technology giants. Consequently, regulatory developments targeting specific aspects of semiconductor manufacturing or generative AI could create outsized volatility within this ETF relative to a more diversified basket of equities that does not rely so heavily on these particular names.

Synthesized from constituent 10-K risk factor disclosures. Not investment advice. Updated: 2026-05-24 05:09:57.821997+00

🏢 Sector Analysis

AI Generated

The State Street SPDR S&P 500 ETF Trust exhibits a sector allocation heavily skewed toward growth-oriented industries, with Technology comprising over one-third of the total portfolio value. This significant weighting is reinforced by an investment thesis that prioritizes exposure to large-cap innovators driving digital transformation and artificial intelligence advancements. The top five holdings alone account for nearly 38% of assets under management, all concentrated within just three sectors: Technology, Consumer Cyclical, and Communication Services. Such a structure indicates a fund design intended to capture the performance of market leaders rather than providing broad industrial diversification, as these mega-cap tech names dominate both sector weightings and individual stock influence.

This concentration creates distinct factor tilts toward large-market-capitalization growth while simultaneously introducing elevated idiosyncratic risk tied to specific company outcomes. The heavy reliance on a handful of equities means that volatility in the performance of top holdings like semiconductor or software giants will disproportionately impact overall portfolio returns compared to a more evenly distributed index fund. Furthermore, the underweighting of defensive sectors such as Utilities and Real Estate suggests the vehicle is not structured for capital preservation during economic downturns but rather aims to maximize upside potential when cyclical growth drivers outperform traditional value assets. The data reflects a passive replication strategy that inherently accepts this sector imbalance because it mirrors the current composition of the S&P 500 index, where market cap weighting naturally amplifies the influence of dominant players in high-growth industries over time.

AI-generated sector analysis from constituent-level data. Not investment advice. Updated: 2026-05-23 08:56:27.206014+00

Flow Driver Analysis

2-Step Circle

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

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

Driver ETFAUMExpenseShared StocksWeight Overlap
SPTMSPTM$12B505100.0%
VOOVanguard S&P 500 ETF$1.5T0.03%49999.0%
QUSQUS$1B45199.0%
VTIVanguard Total Stock Market Index Fund ETF Shares$2.1T0.03%42498.5%
SPLGSPLG$97B48498.2%

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

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

27.5x
Weighted P/E
14.88x
Weighted P/B
$1.5T
Wtd Avg Market Cap

Weighted metrics calculated based on 98% of fund assets with available data.

Herfindahl-Hirschman Concentration Index

01000200030004000212
Well Diversified
Top 5: 26.9%Top 10: 37.6%

Morningstar-Style Box

Value
Blend
Growth
Large
Mid
Small
Large Growth

Sector & Cap Explorer

Technology36.8%Financial Services11.7%Communication Services10.1%Consumer Cyclical9.3%Healthcare8.7%Industrials7.8%Consumer Defensive4.6%Utilities2.2%Real Estate1.9%Basic Materials1.6%
Visualization Mode

ETF Fundamental Radar

Total Analysis
85% Weight
Market Cap
Mega
Risk Profile
Elevated

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%
4%
0–3 Weak
53%
4–6 Average
28%
7–9 Strong

Based on 85% 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.

Dividend Safety True-Up

Deterministic
36%
Wtd FCF Payout Ratio
1.18%
TTM Yield
Very Safe
Dividend Durability
36% of FCF
0% (retains all cash)50%100% (pays out everything)

The dividend-paying companies inside SPY collectively pay out 36% 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 67% 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
+19.1%
ETF 1Y Return
+38.8%
Wtd Earnings Growth
-19.7%
Multiple Contraction
Earnings

SPY is up 19.1% over the last 12 months. The underlying weighted earnings growth of its constituents is +38.8%. Despite earnings growth, valuations have contracted by 19.7% — 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 83% of fund weight with earnings data. Not investment advice.

Value Creation Map

ROIC vs WACC

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

70% Creators
30% Destroyers
Value Creators (ROIC > WACC)55.2%
Value Destroyers24.0%

Of SPY's analyzed weight, 70% is invested in companies earning more than their cost of capital — genuine value creators. The remaining 30% consists of companies whose ROIC falls below their WACC, effectively destroying shareholder value with every dollar invested.

ROIC-WACC spread for 79% of fund weight with available data. 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.

36/ 100
Wtd Avg Passive Ownership10.9%
Most Crowded HoldingKLAC (17.4%)
Least CrowdedGOOG (4.2%)
Coverage75% of fund weight
0 — Low255075100 — Extreme

SPY has a Passive Crowding Score of 36/100. On average, 10.9% of the market capitalization of SPY'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 50 tracked ETFs. Actual passive ownership is higher (includes mutual funds, pension funds). Not investment advice.

Under the Hood — Top 15 Constituents

Top 10 Concentration37.6%
#TickerCompanyWeightP/EF-Score
1NVDA
NVIDIA CORP
Technology
7.75%
31.7x4/9
2AAPL
APPLE INC
Technology
7.55%
40.3x8/9
3MSFT
MICROSOFT CORP
Technology
4.60%
23.4x5/9
4AMZN
AMAZON.COM INC
Consumer Cyclical
3.78%
29.9x6/9
5GOOGL
ALPHABET INC CL A
Communication Services
3.21%
27.0x6/9
6AVGO
BROADCOM INC
Technology
2.74%
62.1x8/9
7GOOG
ALPHABET INC CL C
Communication Services
2.58%
27.0x6/9
8META
META PLATFORMS INC CLASS A
Communication Services
2.25%
24.2x5/9
9TSLA
TESLA INC
Consumer Cyclical
1.70%
349.4x5/9
10MU
MICRON TECHNOLOGY INC
Technology
1.49%
19.3x7/9
11LLY
ELI LILLY + CO
Healthcare
1.43%
41.5x7/9
12JPM
JPMORGAN CHASE + CO
Financial Services
1.42%
14.7x3/9
13BRK.B
BERKSHIRE HATHAWAY INC CL B
Financial Services
1.40%
14.7x
14AMD
ADVANCED MICRO DEVICES
Technology
1.26%
166.9x7/9
15V
VISA INC CLASS A SHARES
Financial Services
0.94%
31.8x6/9
The bottom 489 stocks in SPY account for only 55.9% of the total fund weight.Only the top 50 holdings are shown. Total holdings: 504.

Historical Holdings Snapshots

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

2026-07-19

15 holdings · 44.1% tracked weight
#TickerWeightSharesMarket Value
1NVDA7.75%296,285,166
2AAPL7.55%179,668,177
3MSFT4.60%90,872,317
4AMZN3.78%119,749,962
5GOOGL3.21%71,731,857
6AVGO2.74%57,920,835
7GOOG2.58%57,820,323
8META2.25%26,865,850
9TSLA1.70%34,442,135
10MU1.49%13,796,326
11LLY1.43%9,677,906
12JPM1.42%32,781,913
13BRK.B1.40%22,429,157
14AMD1.26%19,949,238
15V0.94%20,307,807

2026-07-18

15 holdings · 44.1% tracked weight
#TickerWeightSharesMarket Value
1NVDA7.75%296,285,166
2AAPL7.55%179,668,177
3MSFT4.60%90,872,317
4AMZN3.78%119,749,962
5GOOGL3.21%71,731,857
6AVGO2.74%57,920,835
7GOOG2.58%57,820,323
8META2.25%26,865,850
9TSLA1.70%34,442,135
10MU1.49%13,796,326
11LLY1.43%9,677,906
12JPM1.42%32,781,913
13BRK.B1.40%22,429,157
14AMD1.26%19,949,238
15V0.94%20,307,807

2026-07-17

15 holdings · 44.6% tracked weight
#TickerWeightSharesMarket Value
1NVDA7.90%295,372,891
2AAPL7.39%179,114,962
3MSFT4.51%90,592,557
4AMZN3.83%119,381,282
5GOOGL3.34%71,510,987
6AVGO2.87%57,742,540
7GOOG2.69%57,642,288
8META2.30%26,783,170
9TSLA1.71%34,336,120
10MU1.57%13,753,881
11JPM1.43%32,680,968
12LLY1.41%9,648,136
13BRK.B1.38%22,360,127
14AMD1.33%19,887,813
15XOM0.92%50,558,267

2026-07-16

15 holdings · 44.1% tracked weight
#TickerWeightSharesMarket Value
1NVDA7.91%294,362,371
2AAPL7.13%178,502,170
3MSFT4.41%90,282,669
4AMZN3.73%118,972,898
5GOOGL3.25%71,266,331
6AVGO2.84%57,545,044
7GOOG2.60%57,445,080
8META2.24%26,691,586
9TSLA1.72%34,218,688
10MU1.71%13,706,865
11JPM1.42%32,569,152
12LLY1.41%9,615,160
13BRK.B1.39%22,283,663
14AMD1.38%19,819,773
15JNJ0.94%29,261,086

2026-07-15

15 holdings · 43.8% tracked weight
#TickerWeightSharesMarket Value
1NVDA7.63%294,769,386
2AAPL7.21%178,748,989
3MSFT4.49%90,407,485
4AMZN3.75%119,137,386
5GOOGL3.20%71,364,873
6AVGO2.81%57,624,591
7GOOG2.56%57,524,511
8META2.23%26,728,474
9TSLA1.72%34,265,987
10MU1.64%13,725,802
11LLY1.45%9,628,442
12BRK.B1.41%22,314,461
13JPM1.39%32,614,189
14AMD1.35%19,847,178
15JNJ0.96%29,301,541

2026-07-14

15 holdings · 44.0% tracked weight
#TickerWeightSharesMarket Value
1NVDA7.84%291,429,056
2AAPL7.11%176,723,371
3MSFT4.39%89,383,133
4AMZN3.69%117,787,450
5GOOGL3.22%70,556,149
6AVGO2.91%56,971,757
7GOOG2.58%56,872,629
8META2.26%26,425,738
9TSLA1.76%33,877,809
10MU1.70%13,570,388
11LLY1.44%9,519,438
12AMD1.40%19,622,268
13BRK.B1.39%22,061,705
14JPM1.38%32,244,575
15JNJ0.95%28,969,531

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

Risk Profile

17.9%
Annual Volatility
1.12
Sharpe (1Y)
-13.7%
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.

1.02
Market β
-0.064
Size (SMB)
Neutral
-0.017
Value (HML)
Neutral
+0.055
Profit (RMW)
Neutral
+0.046
Invest (CMA)
Neutral
Alpha (annual): -1.05%
R²: 99.4%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

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What Drove SPY Today?

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

Fund move:-0.99%(2026-07-17)

Top Contributors

+0.015%
+0.014%
+0.012%

Top Detractors

-0.070%
-0.083%
-0.172%

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

Technical Setup

AI Generated

The SPY ETF is trading below its 50-day moving average but above the 200-day moving average, suggesting it's in a short-term downtrend relative to recent highs. The RSI reading of 37.8 indicates that momentum may be weakening and leaning towards bearish territory, though not yet oversold.

Underwater (Drawdown from Peak)

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

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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

1.18%
TTM Yield
30-Day SEC Yield
5Y Div CAGR

Sector Drift Over Time

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

2026-07-1995 snapshots
Technology36.8%
Financial Services11.7%
Communication Services10.1%
Consumer Cyclical9.3%
Healthcare8.7%
Industrials7.8%
Consumer Defensive4.6%
Energy3.2%
Utilities2.2%
Other2.1%
Real Estate1.9%
Basic Materials1.6%
0.0%
Change since 2026-03-26
Technology
+3.4%
Energy
-0.7%
Industrials
-0.6%
Consumer Cyclical
-0.5%
Consumer Defensive
-0.5%
Other
+0.4%
2026-03-262026-07-19

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.

Explore More

Quant metrics computed deterministically from financial statements and price data. Updated: 2026-07-17.

SecuritiesDB is for informational purposes only. Not investment advice.