Think Investments LP
SEC Form 13F institutional filer · CIK 0001635999
13F-HR · 10 reported holdings · 2026-03-31
Reported long-US-equity value
$0.25B
Top-10 concentration
100.0%
Think Investments LP — $248M AUM allocation strategy
Think Investments LP files SEC Form 13F and reports $248M of long US equity value across 10 reported holdings for 2026-03-31.
Its largest sector bet is Information Technology 36.6%, followed by Consumer Discretionary 31.7% and Financials 20.4%.
The top 10 holdings account for 100% of reported value — a conviction-weighted book concentrated in its best ideas. The sector and industry splits below are of the same reported value. Track quarter-over-quarter adds, trims, new positions and exits below — sourced from SEC 13F filings, public domain.
Think Investments LP — latest SEC 13F insights
Reported long-US-equity value (13F AUM)
$248M
total across 10 reported holdings · 2026-03-31 · excludes shorts, cash, non-US
Top-10 concentration
100% of value
higher = narrower conviction; lower = spread / hedging
Exited to nil (held last quarter, gone now)
None this quarter
Sector allocation (share of reported value)
each slice is a share of the reported long-US-equity value — smaller sectors and the rest of the book roll into “Other holdings”
Qtr shift = share-point change vs the prior quarter's filing — first period tracked for this filer; the column fills in with the next quarterly refresh.
Industry allocation (share of reported value)
- Broadline Retail31.7%—
- Semiconductors20.6%—
- Investment Banking & Brokerage15.5%—
- Application Software10.8%—
- Interactive Media & Services7.9%—
- Systems Software5.2%—
- Diversified Banks4.9%—
- Health Care Equipment3.4%—
the finer GICS cut of the same book — same denominator — smaller industries roll into “Other holdings”
Qtr shift = share-point change vs the prior quarter's filing — first period tracked for this filer; the column fills in with the next quarterly refresh.
Top S&P 500 holdings
10 of 10 rows · sorted by Value ↓
| Ticker | Holding | Shares | Value | Δ QoQ | Weight |
|---|---|---|---|---|---|
| $AMZN | Amazon.com Inc | 377K | $78.6M | +52K | 31.7% |
| $MRVL | Marvell Technology Inc | 515K | $51M | -233K | 20.6% |
| $CRM | Salesforce Inc | 198K | $26.7M | +0 | 10.8% |
| $META | Meta Platforms Inc | 34K | $19.5M | — | 7.9% |
| $SCHW | Charles Schwab Corporation | 146K | $13.7M | — | 5.5% |
| $GS | Goldman Sachs Group Inc | 16K | $13.5M | — | 5.5% |
| $MSFT | Microsoft Corporation | 35K | $13M | — | 5.2% |
| $C | Citigroup Inc | 107K | $12.1M | — | 4.9% |
| $MS | Morgan Stanley | 67.8K | $11.2M | — | 4.5% |
| $BSX | Boston Scientific Corporation | 136K | $8.53M | — | 3.4% |
SEC Form 13F data sets · public domain · 45-day filing lag · >$100M AUM managers · as reported
← All 13F filers·← QuantOrb.pro
How to read Δ QoQ — the five insight categories, and the caveats
The categories. Analysts, quants and retail traders look past total portfolio value to isolate actionable signals. Five categories matter.
Conviction & concentration shifts
New positions vs complete exits — a brand-new stock signals high conviction; a full liquidation suggests a broken thesis or tax-loss harvesting. Aggressive sizing — look at share count, not dollars: a 20% share increase during a drawdown is strong dip-buying. Concentration — a narrowing top-5/10 means conviction; spreading capital across more names means hedging.
Sector & macro allocation rotations
Aggregating Δ QoQ moves across sectors shows where smart money is leaning in or sneaking out — rotating out of growth into defensives or energy, for example. The fund's total long equity exposure quarter-over-quarter is a proxy for overall institutional risk appetite.
Crowding & smart-money consensus
When several managers initiate or expand the same stock in the same quarter, that is institutional consensus. Contrarian reads: top pickers buying hard into a beaten-down name the market is selling.
Derivative & option overlays
Reported call/put changes indicate whether managers are adding downside hedges or leveraging upside exposure. Note: a long increase may be half of a market-neutral pair trade.
Who reads this
| Retail "cloners" | High-conviction ideas to replicate ~45 days after quarter-end. |
| Corporate IR | Which funds bought or dumped the stock, before the next call. |
| Quant / algo traders | Cross-sectional factor inputs: flow, momentum, ownership. |
Four caveats before you trade on it
- 45-day lag — holdings are quarter-end; positions may already be closed.
- Long-only — 13Fs miss shorts, pair trades and cash.
- No non-US / fixed income — the picture is US equities plus options.
- Corporate actions — splits and spinoffs distort raw share deltas.
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