etfipo
Case study no. 05 — Forced buying·2026

The day Databricks lists, 4 ETFs must buy $479.5M of it.

$5.4B revenue with 65% YoY growth and FCF positive. Most 'ready' of the megacaps. Profitable, which matters for S&P 500.

$134.00B
$40B$268B

Base case: $134.00B (Reported financials, $5B funding round). Use the slider to stress-test upside or downside scenarios.

12%
$3B$25B

Base case: 12%. Mega-IPOs typically float 5-15% initially. Lower float = higher demand vs supply imbalance.

Implied float $
$16.08B
ETF forced buying
$479.5M
% of float ETFs must absorb
3.0%
ETFs forced to act
4
QQQInvesco QQQ Trust

Top 100 non-financial Nasdaq-listed stocks by market cap. Annual reconstitution in December. Quarterly rebalancing.

AUM
$327.00B
Expense
20 bps
Est. entry weight
0.07%
Forced buying
$239.0M
Top 10 holdings — dollar outflow from dilution
Show full dilution math →
TickerNameOld wtNew wtΔ wt (bps)$ outflow
NVDANVIDIA8.750%8.744%-0.6-$20.9M
AAPLApple7.340%7.335%-0.5-$17.5M
MSFTMicrosoft5.100%5.096%-0.4-$12.2M
AMZNAmazon4.720%4.717%-0.3-$11.3M
MUMicron Technology3.880%3.877%-0.3-$9.3M
AVGOBroadcom3.650%3.647%-0.3-$8.7M
GOOGLAlphabet Class A3.010%3.008%-0.2-$7.2M
METAMeta Platforms2.890%2.888%-0.2-$6.9M
TSLATesla2.410%2.408%-0.2-$5.8M
COSTCostco2.230%2.228%-0.2-$5.3M
VTIVanguard Total Stock Market

Holds substantially all investable US equities. New IPOs added at quarterly rebalance after seasoning. Float-adjusted.

AUM
$480.00B
Expense
3 bps
Est. entry weight
0.03%
Forced buying
$140.3M
Top 10 holdings — dollar outflow from dilution
Show full dilution math →
TickerNameOld wtNew wtΔ wt (bps)$ outflow
NVDANVIDIA6.200%6.198%-0.2-$8.7M
AAPLApple5.800%5.798%-0.2-$8.1M
MSFTMicrosoft5.300%5.298%-0.2-$7.4M
AMZNAmazon3.400%3.399%-0.1-$4.8M
GOOGLAlphabet A+C3.200%3.199%-0.1-$4.5M
METAMeta Platforms2.500%2.499%-0.1-$3.5M
TSLATesla1.800%1.799%-0.1-$2.5M
BRK.BBerkshire Hathaway1.500%1.500%-0.0-$2.1M
AVGOBroadcom1.400%1.400%-0.0-$2.0M
JPMJPMorgan Chase1.300%1.300%-0.0-$1.8M
VGTVanguard Information Technology

Sector classification matters. GICS reclassified Amazon, Meta, Google away from Tech years ago. SpaceX likely classified as Industrials/Aerospace, NOT Tech — so likely excluded from VGT despite being innovative.

AUM
$92.00B
Expense
9 bps
Est. entry weight
0.09%
Forced buying
$82.2M
Top 10 holdings — dollar outflow from dilution
Show full dilution math →
TickerNameOld wtNew wtΔ wt (bps)$ outflow
NVDANVIDIA18.400%18.384%-1.6-$15.1M
AAPLApple15.100%15.087%-1.3-$12.4M
MSFTMicrosoft14.200%14.187%-1.3-$11.7M
AVGOBroadcom6.100%6.095%-0.5-$5.0M
ORCLOracle2.900%2.897%-0.3-$2.4M
CRMSalesforce2.400%2.398%-0.2-$2.0M
CSCOCisco2.100%2.098%-0.2-$1.7M
AMDAMD2.000%1.998%-0.2-$1.6M
ACNAccenture1.900%1.898%-0.2-$1.6M
ADBEAdobe1.800%1.798%-0.2-$1.5M
Eligibility matrix

Six ETFs. Six different inclusion timelines.

QQQ● Eligible

Nasdaq listing + market cap easily clears Nasdaq-100 threshold. Fast-track entry possible if market cap exceeds existing constituent (top 25% rule).

Timing: Next quarterly rebal or special inclusion ~3-5 days post-IPO if mega-cap
IPO● Eligible

Renaissance IPO ETF adds large US IPOs ~5 trading days after listing. Will likely enter as a top-3 holding given mega-cap size.

Timing: ~5 trading days post-IPO
VTI● Eligible

CRSP US Total Market includes all US-listed common stocks. Added at next quarterly rebalance (typ. ~30-90 day lag).

Timing: Next quarterly rebalance
SPY● Excluded

Multi-class structure historically blocks/delays inclusion (Snap precedent in 2017)

Timing: Blocked until criteria met
VGT● Eligible

GICS classification likely Information Technology — would be added at MSCI rebalance.

Timing: MSCI quarterly rebalance
ARKK● Conditional

Active fund — Cathie Wood's stated convictions strongly favor frontier-AI and space themes. Position size at PM discretion.

Timing: Any time post-listing
The playbook

Three trades the inclusion math points to.

i.

Most index-ready of the megacap pipeline

Databricks is the only mega-IPO with both profitability and 4+ profitable quarters, meaning S&P 500 inclusion is plausible at the first review post-listing — unlike OpenAI or Anthropic. This is a rare 'eligible from day one' setup.

ii.

Snowflake comparable trade

Direct public comp is SNOW. At Databricks' growth rate (65% YoY), market would likely award a premium multiple to SNOW. Pair trade: long DBX vs short SNOW on listing day captures the multiple expansion.

iii.

AI data layer rerating

Databricks' listing forces a rerating of the entire AI/data stack: SNOW, MDB, ESTC, NET, DDOG. Watch for sympathy moves and ETF rebalancing across IGV and CLOU.