LIBRA WEALTH LLC
SEC Form 13F institutional filer · CIK 0001925385
13F-HR · 35 reported holdings · 2026-03-31
Reported long-US-equity value
$0.17B
Top-10 concentration
90.5%
LIBRA WEALTH LLC — $169M AUM allocation strategy
LIBRA WEALTH LLC files SEC Form 13F and reports $169M of long US equity value across 35 reported holdings for 2026-03-31.
Its largest sector bet is Financials 26.3%, followed by Information Technology 13.0% and Communication Services 4.8%.
The top 10 holdings account for 91% 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.
LIBRA WEALTH LLC — latest SEC 13F insights
Reported long-US-equity value (13F AUM)
$169M
total across 35 reported holdings · 2026-03-31 · excludes shorts, cash, non-US
Top-10 concentration
91% of value
higher = narrower conviction; lower = spread / hedging
Biggest adds (shares)
+$VTI +7.99K sh · −$493K+$CSCO +21 sh · +$3.92K+$INTU +2 sh · −$126K
Biggest trims (shares)
−$SCHW −66.7K sh · −$1.96M−$IWM −538 sh · −$194K−$IVV −485 sh · −$375K
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)
- Investment Banking & Brokerage26.3%—
- Semiconductors6.7%—
- Technology Hardware, Storage & Peripherals3.4%—
- Movies & Entertainment3.0%—
- Systems Software2.4%—
- Interactive Media & Services1.8%—
- Automobile Manufacturers1.1%—
- Broadline Retail0.5%—
- Other holdings54.9%—
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
7 of 7 rows · sorted by Value ↓
| Ticker | Holding | Shares | Value | Δ QoQ | Weight |
|---|---|---|---|---|---|
| $SCHW | Charles Schwab Corporation | 1.66M | $41.3M | -66.7K | 24.4% |
| $NVDA | NVIDIA Corporation | 57.7K | $10.1M | +0 | 5.9% |
| $AAPL | Apple Inc | 22.9K | $5.8M | -263 | 3.4% |
| $NFLX | Netflix Inc | 52.8K | $5.07M | +0 | 3.0% |
| $MSFT | Microsoft Corporation | 11K | $4.09M | -21 | 2.4% |
| $HOOD | Robinhood Markets Inc | 44.8K | $3.1M | +0 | 1.8% |
| $GOOGL | Alphabet Inc | 7.76K | $2.23M | +0 | 1.3% |
…and 28 more holdings in the full 13F filing (top positions only shown).
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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