ETF Overlap Tool

SCHG vs QQQM ETF Overlap

Snapshot overlap answer

SCHG and QQQM share 47 matched holdings in the stored snapshots. Their weighted holdings overlap is 58.8%. SCHG has 66.7% in common holdings, while QQQM has 63.9%. The holdings dates are Jul 28, 2026 and Jul 29, 2026.

Compare ETF holdings

Enter two different ETF tickers. The base comparison uses a 50% and 50% model, which you can change after the result loads.

Examples: VOO and VTI, QQQ and VGT, or SCHD and VYM.

Data dates and coverage

Complete

Each ETF keeps its own FMP update time. Pineify does not replace different timestamps with a single date. Result retrieved Jul 30, 2026, 05:02 AM UTC.

SCHG
Updated Jul 28, 2026, 10:07 PM UTC
Identified coverage: 100.0%
Positive long weight: 100.0%. Identified long: 100.0%.
Signed source weight: 100.0%. Unmatched long: 0.0%.
QQQM
Updated Jul 29, 2026, 03:07 AM UTC
Identified coverage: 99.8%
Positive long weight: 100.1%. Identified long: 100.0%.
Signed source weight: 100.0%. Unmatched long: 0.2%.
Excluded negative weight: 0.1%.
Shared holdings
47
Resolved holding identities present in both ETF snapshots.
Weighted overlap
58.8%
Sum of the smaller weight for each shared holding.
SCHG common exposure
66.7%
Share of SCHG invested in holdings that also appear in QQQM.
QQQM common exposure
63.9%
Share of QQQM invested in holdings that also appear in SCHG.

Top shared holdings

Ranked by the smaller weight contributed by the two ETFs.

Complete
Shared holdings for SCHG and QQQM
HoldingSCHG weightQQQM weightOverlap slice
AAPLAPPLE INC10.54%8.42%8.42%
NVDANVIDIA CORP10.07%8.04%8.04%
MSFTMICROSOFT CORP6.16%4.93%4.93%
AMZNAMAZON COM INC4.77%4.19%4.19%
GOOGLALPHABET INC CLASS A4.13%3.28%3.28%
GOOGALPHABET INC CLASS C3.32%3.06%3.06%
AVGOBROADCOM INC3.81%3.05%3.05%
METAMETA PLATFORMS INC CLASS A2.75%2.96%2.75%
AMDADVANCED MICRO DEVICES INC2.42%3.45%2.42%
TSLATESLA INC2.10%2.59%2.10%
COSTCOSTCO WHOLESALE CORP1.75%2.00%1.75%
NFLXNETFLIX INC1.24%1.42%1.24%
PLTRPALANTIR TECHNOLOGIES INC CLASS A1.16%1.32%1.16%
PANWPALO ALTO NETWORKS INC1.05%1.21%1.05%
KLACKLA CORP1.01%1.16%1.01%

Top unique holdings

These resolved holdings appear on one side of the current snapshots, not both.

Unique to SCHG

  • LLYELI LILLY3.27%
  • VVISA INC CLASS A2.48%
  • MAMASTERCARD INC CLASS A1.85%
  • UNHUNITEDHEALTH GROUP INC1.59%
  • GEGE AEROSPACE1.54%
  • GEVGE VERNOVA INC1.03%
  • TMOTHERMO FISHER SCIENTIFIC INC0.87%
  • ANETARISTA NETWORKS INC0.71%
  • DISWALT DISNEY0.70%
  • BLKBLACKROCK INC0.64%

Unique to QQQM

  • MUMicron Technology Inc4.31%
  • WMTWalmart Inc2.57%
  • CSCOCisco Systems Inc2.12%
  • INTCIntel Corp2.02%
  • AMATApplied Materials Inc1.76%
  • LRCXLam Research Corp1.57%
  • TXNTexas Instruments Inc1.17%
  • SPCXSpace Exploration Technologies Corp1.04%
  • AMGNAmgen Inc0.99%
  • PEPPepsiCo Inc0.91%

Sector overlap

Sector weights are compared by normalized provider labels. Unknown weight is not reassigned.

78.1%Complete
SCHG classification coverage
Classified ratio: 100.0%. Unknown weight: 0.0%.
QQQM classification coverage
Classified ratio: 100.0%. Unknown weight: 0.0%.
Sector overlap for SCHG and QQQM
BucketSCHGQQQMOverlap
Information Technology44.04%60.93%44.04%
Communication Services14.05%13.07%13.07%
Consumer Discretionary11.22%10.68%10.68%
Health Care9.95%3.56%3.56%
Industrials7.61%2.70%2.70%
Consumer Staples1.89%6.25%1.89%
Materials1.60%1.04%1.04%
Utilities0.45%1.14%0.45%
Energy0.85%0.45%0.45%
Financials7.74%0.17%0.17%
Cash & Others0.03%0.01%0.01%
Real Estate0.57%0.00%0.00%

Country overlap

Country exposure uses the current provider classification for each ETF.

95.6%Complete
SCHG classification coverage
Classified ratio: 100.0%. Unknown weight: 0.0%.
QQQM classification coverage
Classified ratio: 100.0%. Unknown weight: 0.0%.
Country overlap for SCHG and QQQM
BucketSCHGQQQMOverlap
United States98.07%94.22%94.22%
United Kingdom1.03%1.81%1.03%
Ireland0.67%0.25%0.25%
Canada0.05%0.80%0.05%
Netherlands0.02%1.45%0.02%
Singapore0.00%0.88%0.00%
Uruguay0.00%0.42%0.00%
Cayman Islands0.16%0.00%0.00%
Other0.00%0.15%0.00%

Market-cap style overlap

Applicable equity holdings are grouped by Pineify v1 market-cap thresholds. Bonds, cash, and derivatives are excluded.

98.9%Complete
SCHG classification coverage
Classified ratio: 99.9%. Unknown weight: 0.1%.
QQQM classification coverage
Classified ratio: 99.3%. Unknown weight: 0.7%.
Market-cap style overlap for SCHG and QQQM
BucketSCHGQQQMOverlap
Large cap99.37%98.93%98.93%
Unclassified0.05%0.68%0.00%
Mid cap0.57%0.00%0.00%
Small cap0.01%0.00%0.00%

Model your whole-portfolio exposure

Enter each ETF as a share of the whole portfolio. Pineify keeps any remainder unmodeled and does not rescale the inputs.

0% remains outside this two-ETF model.

Shared exposure
65.3%
Combined exposure to holdings present in both ETFs.
Duplicate slice
29.4%
The smaller scaled position for every shared holding.
Unmodeled remainder
0.0%
Portfolio weight outside the two entered ETFs.

Method

  • Weighted overlap is the sum of the smaller holding weight for every matched security.
  • Pineify retains valid ISIN, CUSIP, and symbol aliases. Matching proceeds in stages and only accepts unique, non-conflicting identities. Names are not fuzzy matched.
  • Common exposure is calculated separately for each ETF. It is not the same metric as weighted overlap.
  • Negative weights are reported separately and excluded from the long-only overlap calculation.
  • Market-cap style uses Pineify methodology v1: small below $2 billion, mid from $2 billion to below $10 billion, and large at $10 billion or more. Market-cap data older than seven days is stale and the affected weight remains unclassified.

Methodology version: holdings-overlap-v1

Sources and warnings

  • FMP etf-holdings for SCHGProvider time: Jul 28, 2026, 10:07 PM UTC. Retrieved Jul 30, 2026, 05:02 AM UTC.
  • FMP etf-info for SCHGProvider time: Jul 30, 2026, 04:34 AM UTC. Retrieved Jul 30, 2026, 05:02 AM UTC.
  • FMP etf-sector-weightings for SCHGProvider time: No provider timestamp. Retrieved Jul 30, 2026, 05:02 AM UTC.
  • FMP etf-country-weightings for SCHGProvider time: No provider timestamp. Retrieved Jul 30, 2026, 05:02 AM UTC.
  • FMP etf-holdings for QQQMProvider time: Jul 29, 2026, 03:07 AM UTC. Retrieved Jul 30, 2026, 05:02 AM UTC.
  • FMP etf-info for QQQMProvider time: Jul 30, 2026, 03:10 AM UTC. Retrieved Jul 30, 2026, 05:02 AM UTC.
  • FMP etf-sector-weightings for QQQMProvider time: No provider timestamp. Retrieved Jul 30, 2026, 05:02 AM UTC.
  • FMP etf-country-weightings for QQQMProvider time: No provider timestamp. Retrieved Jul 30, 2026, 05:02 AM UTC.
  • FMP market-capitalization-batchProvider time: No provider timestamp. Retrieved Jul 30, 2026, 05:02 AM UTC.

Data notes

  • Negative holding weight is reported separately and excluded from long-only overlap.
  • Some positive holding weight did not have a reliable security identity.
  • Holding tables show the highest-weight rows; calculations use every resolved holding.
  • 2 market-cap observations were too old for current style classification.
  • 1 applicable symbols did not have a current market-cap observation.
  • The two ETF holdings snapshots have different FMP update times.

What this SCHG and QQQM result means

Holding count and weight answer different questions

The shared count shows how many resolved holding identities appear on both sides. Weighted overlap shows how much of the smaller position lines up for each shared security.

This is not a performance comparison

The page does not compare fees, liquidity, tracking error, taxes, or historical returns. Use those factors in a separate fund review before making an investment decision.

ETF overlap questions

A next step after overlap

Put the duplicate exposure in research context

ETF overlap explains portfolio composition. Finance Agent can help you inspect the funds, sectors, and holdings behind the result. It does not turn overlap into a buy or sell recommendation.

Pineify ETF Overlap is an information tool, not investment advice. The analysis does not compare fees, liquidity, past performance, or expected returns, and it does not recommend one ETF over another. Data can be incomplete or delayed. No tool or AI system can predict ETF prices or guarantee a return.