257 essays 1,087 funds measured independent · not paid by any fund or issuer we cover

Overlap · from SEC filings

AGG vs SMH: what actually overlaps

AGG and SMH: 0% of a dollar ends up in the same companies either way (SEC Form N-PORT, 2026-05-31 and 2026-06-30), across 0 securities the two funds both hold. Every free comparison tool can list the tickers in common; this weights them, which is the part that decides whether owning both changes anything.

0%Overlap by weight
0Shared holdings
54.3Combined effective holdings
-508.4 vs AGG alone

The short version

Held alone, AGG behaves like 562.7 equally weighted positions and SMH like 13.9. Held together in equal size they behave like 54.3 — less diversified than holding AGG on its own — but not because the two funds overlap, since they share no securities at all. Effective holdings weights by money, and half of it now sits in SMH, which behaves like 13.9 on its own. That is what pulls the blend down.

Overlap here is the sum, over securities both funds hold, of the smaller of the two weights: the share of a dollar that sits in the same company either way. Matching is on CUSIP. Figures are as of each fund's own reporting date (2026-05-31 and 2026-06-30), which do not always align.

Not 50/50, or holding a third fund alongside these two? The portfolio calculator runs this same math for any weights, across up to 12 funds.

Side by side

as filed
AGGSMH
Assets$141B$77B
Holdings11,06425
Effective holdings562.713.9
Top ten weight6.3%70.27%
Largest position2.74%17.56%
Priced at market (Level 1)3.34%100%
Reporting date2026-05-312026-06-30

Each fund on its own: AGG · SMH

What the difference is made of

99.03% · 100%

99.03% of AGG sits in companies SMH does not hold at all, and 100% of SMH in companies AGG does not hold. The largest of each, by weight in its own fund:

Only in AGG (99.03%)
  • BLACKROCK CASH FUNDS
  • United States Treasury
  • United States Treasury
  • United States Treasury
  • United States Treasury
Only in SMH (100%)
  • NVIDIA Corp
  • Taiwan Semiconductor Manufacturing Co Ltd
  • Applied Materials Inc
  • Micron Technology Inc
  • Advanced Micro Devices Inc

By country of issuer

2026-05-31 · 2026-06-30

Where each fund's money sits by the issuer country its filer reported (incorporation, not revenue). Two funds can share companies and still differ here, and a pair that looks diversified by name can be one country twice.

CountryAGGSMHDifference
United States 94.37% 82.09% +12.28
Taiwan 0.00% 9.29% −9.29
Netherlands° 0.17% 7.45% −7.28
United Kingdom 0.80% 1.17% −0.37
Not stated in filing 0.96% 0.00% +0.96
Canada 0.95% 0.00% +0.95
Japan 0.50% 0.00% +0.50
Mexico 0.31% 0.00% +0.31
Germany 0.19% 0.00% +0.19
Australia 0.18% 0.00% +0.18

What each fund did last quarter

Each fund's newest filing against its previous one. A pair whose overlap is rising or falling does so because of these moves; the figures are the same ones on each fund's page and in its feed.

FundPeriodPositionsAddedDroppedTurnoverLargest increase
AGG 2026-02-28 → 2026-05-31 13,180 → 13,263 5274448.1% United States Treasury 0.05% → 0.26%
SMH 2026-03-31 → 2026-06-30 25 → 25 009.9% Marvell Technology Inc 2.36% → 4.67%

Related comparisons

8

Other pairs involving AGG or SMH, ordered by how much they overlap.

PairOverlapCombined effective
SMH vs SOXX 73.96% 18
SMH vs SOXQ 64.92% 17.5
AGG vs BND 63.53% 837.5
SMH vs XLK 50.64% 18.1
SMH vs VGT 40.51% 18.2
QQQ vs SMH 36.4% 25.6
QQQM vs SMH 32.62% 25.6
SMH vs VUG 26.75% 22.1

Sources and limits

Computed from SEC Form N-PORT (NPORT-P), the portfolio report every registered US fund files. Positions below 0.001% of net assets are dropped; weights are normalised to each filing's own total.

Unit investment trusts including SPY and DIA do not file N-PORT, so no overlap can be computed for them. Where a comparison is missing from this site, that is usually why rather than an oversight.

Overlap says what is held in common, not what will move together. Two funds with no shared holdings can still fall together, and the effective holding count takes no account of correlation. All 275 pairs are in the concentration dataset, and every fund's own history is on its fund page.