What the current price and public evidence imply
Built from the ground up: market microstructure, what investors traded on, the reverse DCF, and the assumptions the price requires.
PLTR last traded at $107.27 and is down -21.5% over the past month (21 trading days). Annualized realized volatility is elevated at 54%, with downside volatility at 36%. Recent volume is in line with its average at 1.29x the trailing average. With a market beta of 1.47, the stock amplifies broad-market moves. It sits -44.8% versus its high over the window ($194.17). Decomposing that -21.5% move: with a 1.47 beta to SPY (-2.2% over the window), roughly -3.2% is explained by the broad market, leaving -18.3% idiosyncratic — this was overwhelmingly company-specific, not a market move. Its sector (XLK) returned -0.3% over the same window, so versus the industry PLTR moved -21.2% on a beta-adjusted basis.
Each meaningful move is read as a whole-company re-rating of about its own size. News mapped to a component contributes a dampened DIRECT share (60% retained) to that component; the remaining 40% is BROAD READ-THROUGH spread across the business by size. Moves with no reliable component mapping are held in an explicit UNCERTAIN bucket, never forced onto one line. Weights accumulate these dampened, news-driven shares across 21 considered move(s). Dampening factor: 60% direct retained.
| Component | Attention weight | Size-based | Attribution | Why |
|---|---|---|---|---|
| AIP-driven U.S. commercial demand and adoption | 18% | 8% | Direct | AIP-driven U.S. commercial demand and adoption carries ~18% of attention-driven price formation: 86% from 8 price move(s) that traced directly to AIP-driven U.S. commercial demand and adoption news, 14% from broad read-through. The single-name share is dampened (a 40% read-through haircut) so a big move is not booked 100% to this line. |
| Operating leverage and lean talent-focused model | 0% | 0% | Broad Read Through | Operating leverage and lean talent-focused model carries ~0% of attention-driven price formation, mostly broad read-through (0%): it was seldom the direct subject of price-moving news, so most of its weight comes from market-wide re-ratings rather than single-name attribution. |
| U.S. government / defense AI software demand | 10% | 8% | Direct | U.S. government / defense AI software demand carries ~10% of attention-driven price formation: 76% from 5 price move(s) that traced directly to U.S. government / defense AI software demand news, 24% from broad read-through. The single-name share is dampened (a 40% read-through haircut) so a big move is not booked 100% to this line. |
| Net dollar retention from existing-customer expansion | 3% | 8% | Broad Read Through | Net dollar retention from existing-customer expansion carries ~3% of attention-driven price formation, mostly broad read-through (73%): it was seldom the direct subject of price-moving news, so most of its weight comes from market-wide re-ratings rather than single-name attribution. |
| Ontology / two-decade platform differentiation enabling enterprise LLM value | 7% | 8% | Direct | Ontology / two-decade platform differentiation enabling enterprise LLM value carries ~6% of attention-driven price formation: 62% from 3 price move(s) that traced directly to Ontology / two-decade platform differentiation enabling enterprise LLM value news, 38% from broad read-through. The single-name share is dampened (a 40% read-through haircut) so a big move is not booked 100% to this line. |
| Large deal closings and TCV bookings | 2% | 8% | Broad Read Through | Large deal closings and TCV bookings carries ~2% of attention-driven price formation, mostly broad read-through (100%): it was seldom the direct subject of price-moving news, so most of its weight comes from market-wide re-ratings rather than single-name attribution. |
| Boot camp go-to-market motion | 2% | 8% | Broad Read Through | Boot camp go-to-market motion carries ~2% of attention-driven price formation, mostly broad read-through (100%): it was seldom the direct subject of price-moving news, so most of its weight comes from market-wide re-ratings rather than single-name attribution. |
| International / U.K. government and commercial demand | 2% | 8% | Broad Read Through | International / U.K. government and commercial demand carries ~2% of attention-driven price formation, mostly broad read-through (100%): it was seldom the direct subject of price-moving news, so most of its weight comes from market-wide re-ratings rather than single-name attribution. |
| Maven/ShipOS/Warp Speed defense platform deployments | 4% | 8% | Broad Read Through | Maven/ShipOS/Warp Speed defense platform deployments carries ~4% of attention-driven price formation, mostly broad read-through (63%): it was seldom the direct subject of price-moving news, so most of its weight comes from market-wide re-ratings rather than single-name attribution. |
| Product credibility, reputation, and customer references | 2% | 8% | Broad Read Through | Product credibility, reputation, and customer references carries ~2% of attention-driven price formation, mostly broad read-through (100%): it was seldom the direct subject of price-moving news, so most of its weight comes from market-wide re-ratings rather than single-name attribution. |
| Partnership/FedStart ecosystem strategy | 5% | 8% | Direct | Partnership/FedStart ecosystem strategy carries ~5% of attention-driven price formation: 54% from 2 price move(s) that traced directly to Partnership/FedStart ecosystem strategy news, 46% from broad read-through. The single-name share is dampened (a 40% read-through haircut) so a big move is not booked 100% to this line. |
| Excess demand exceeding delivery capacity | 2% | 8% | Broad Read Through | Excess demand exceeding delivery capacity carries ~2% of attention-driven price formation, mostly broad read-through (100%): it was seldom the direct subject of price-moving news, so most of its weight comes from market-wide re-ratings rather than single-name attribution. |
| Replacement of legacy enterprise software | 6% | 8% | Direct | Replacement of legacy enterprise software carries ~6% of attention-driven price formation: 61% from 3 price move(s) that traced directly to Replacement of legacy enterprise software news, 39% from broad read-through. The single-name share is dampened (a 40% read-through haircut) so a big move is not booked 100% to this line. |
| Continued investment in AIP and technical hiring | 3% | 0% | Direct | Continued investment in AIP and technical hiring carries ~3% of attention-driven price formation: 100% from 2 price move(s) that traced directly to Continued investment in AIP and technical hiring news, 0% from broad read-through. The single-name share is dampened (a 40% read-through haircut) so a big move is not booked 100% to this line. |
| Talent attraction and retention via high-impact AI work | 5% | 0% | Direct | Talent attraction and retention via high-impact AI work carries ~5% of attention-driven price formation: 100% from 2 price move(s) that traced directly to Talent attraction and retention via high-impact AI work news, 0% from broad read-through. The single-name share is dampened (a 40% read-through haircut) so a big move is not booked 100% to this line. |
Across price-moving news: 44% direct attribution · 29% broad read-through · 27% uncertain / unclassified. 7 move(s) (~27% of attention mass) could not be reliably mapped to a named component (no public driver found, or news not about a tracked line) and are held here rather than attributed to a single component.
- What specific catalysts (if any) drove the unattributed moves in Dec 2025–Mar 2026, versus pure momentum/valuation-driven flows?
- At what multiple does the market consider PLTR's growth fairly priced, given it is 'overvalued by every conventional multiple' yet still growing 85%+ Y/Y?
- How durable is the U.S. commercial/AIP acceleration, and will boot-camp-led conversion and large-deal TCV growth sustain the raised FY 2026 guidance?
- How much of the drawdown is attributable to Michael Burry's short and momentum unwind versus a fundamental re-rating that could persist?
- Unresolved move on 2025-12-17
- Unresolved move on 2026-01-02
- Unresolved move on 2026-01-28
- Unresolved move on 2026-02-09
- Unresolved move on 2026-04-10
- Unresolved move on 2026-06-02
- Unresolved move on 2026-06-15
- Unresolved move on 2026-06-25
| Line item | Low % | Mid % | High % |
|---|---|---|---|
| Revenue | 20.5 | 30.4 | 41.5 |
| Cost Of Revenue | 11.3 | 23.9 | 33.6 |
| Operating Expense | 0.5 | 5.7 | 22.0 |
| D And A | -4.7 | 5.3 | 36.4 |
| Capex | -34.0 | 9.3 | 149.0 |
| Driver | Line item | Size share | Attention weight | PV contribution | Allocation confidence |
|---|---|---|---|---|---|
| AIP-driven U.S. commercial demand and adoption | Revenue | 8% | 18% | $20.36B | High |
| Operating leverage and lean talent-focused model | Operating Expense | 0% | 0% | — | Low |
| U.S. government / defense AI software demand | Revenue | 8% | 10% | $20.36B | High |
| Net dollar retention from existing-customer expansion | Revenue | 8% | 3% | $20.36B | High |
| Ontology / two-decade platform differentiation enabling enterprise LLM value | Revenue | 8% | 7% | $20.36B | High |
| Large deal closings and TCV bookings | Revenue | 8% | 2% | $20.36B | High |
| Boot camp go-to-market motion | Revenue | 8% | 2% | $20.36B | High |
| International / U.K. government and commercial demand | Revenue | 8% | 2% | $20.36B | High |
| Maven/ShipOS/Warp Speed defense platform deployments | Revenue | 8% | 4% | $20.36B | High |
| Product credibility, reputation, and customer references | Revenue | 8% | 2% | $20.36B | High |
| Partnership/FedStart ecosystem strategy | Revenue | 8% | 5% | $20.36B | High |
| Excess demand exceeding delivery capacity | Revenue | 8% | 2% | $20.36B | High |
| Replacement of legacy enterprise software | Revenue | 8% | 6% | $20.36B | High |
| Continued investment in AIP and technical hiring | Operating Expense | 0% | 3% | — | Low |
| Talent attraction and retention via high-impact AI work | Operating Expense | 0% | 5% | — | Low |
| Assumption | Line item | Required |
|---|---|---|
| Market price implies AIP-driven U.S. commercial demand and adoption delivers ~30.4% revenue_growth_pct over 10y. | Revenue | 30.4 |
| Market price implies Operating leverage and lean talent-focused model delivers ~5.69% operating_expense_growth_pct over 10y. | Operating Expense | 5.69 |
| Market price implies U.S. government / defense AI software demand delivers ~30.4% revenue_growth_pct over 10y. | Revenue | 30.4 |
| Market price implies Net dollar retention from existing-customer expansion delivers ~30.4% revenue_growth_pct over 10y. | Revenue | 30.4 |
| Market price implies Ontology / two-decade platform differentiation enabling enterprise LLM value delivers ~30.4% revenue_growth_pct over 10y. | Revenue | 30.4 |
| Market price implies Large deal closings and TCV bookings delivers ~30.4% revenue_growth_pct over 10y. | Revenue | 30.4 |
| Market price implies Boot camp go-to-market motion delivers ~30.4% revenue_growth_pct over 10y. | Revenue | 30.4 |
| Market price implies International / U.K. government and commercial demand delivers ~30.4% revenue_growth_pct over 10y. | Revenue | 30.4 |