Palantir
Sorbet currently classifies Palantir as the leader in its Regulated & federal bucket. The detailed selection note is not yet available.
No recent material read
Based on 0 material signals in the last 30 days: 0 positive, 0 negative.
Evidence summary, not a buy / sell rating
Latest approved decision: hold · 2026-07-29
The role and pillars explain what job this holding has inside the System-of-Record basket—not whether it suits an individual investor.
Palantir is the portfolio's leader in the Regulated & Federal bucket because it owns the most battle-hardened substrate for durable, auditable records in high-stakes environments — intelligence workflows, defense operations, healthcare adjudication, and critical-infrastructure oversight — precisely where agent trust cannot be assumed and must be structurally earned. Its Ontology layer (the backbone of AIP) is the thesis instantiation of P1 and P3 in their strongest form: every object — asset, entity, case, mission event — is a typed, owned record with explicit provenance, not a free-text artifact. P4 is embodied through Palantir's pipeline and transform primitives, which surface domain operations as named, auditable verbs that agents can invoke without ambiguity. P5 is satisfied by the platform's immutable audit trail, which is not a feature but a contractual and regulatory requirement baked into every federal deployment. As the bucket leader, Palantir anchors the 40% allocation weight and sets the quality bar against which challengers are measured: regulatory moat by construction, records ownership at the mission layer, and a deployment footprint in the customers — federal agencies, allied governments, large regulated enterprises — that are simultaneously the most agent-hungry and the most trust-constrained.
The bucket's primary paper position: the company Sorbet currently treats as the clearest expression of this workflow category.
The thesis properties this holding is selected to test. These labels are portfolio classifications, not standalone proof.
Durable records
Typed ownership
Structural verbs
Queryable history
The thesis for Palantir breaks structurally — not merely underperforms — if one or more of the following concrete signals fires. First, if a foundation-model provider (OpenAI, Anthropic, Google DeepMind) ships a sovereign-deployable, air-gapped data platform that bundles ontology management, access-control enforcement, and full audit-log queryability into a commodity model API, Palantir's core claim — that building and maintaining a compliant, permissioned data substrate is intractably hard — collapses at its root. Second, if Palantir's U.S. Government and commercial agent-SKU revenues (AIP bookings) decelerate in absolute dollar terms across two consecutive reported quarters while peer ITSM and ERP platforms continue to grow their agent ARR mix, that is direct evidence the company is failing to monetise the very records it holds — the central bet for any SoR leader. Third, if a hyperscaler (Microsoft Azure Government, AWS GovCloud, or Google Public Sector) bundles a regulated-SoR stack — structured records, RBAC, immutable audit trail, FedRAMP authorization — into existing enterprise agreements at marginal pricing, Palantir's government pricing power erodes by construction rather than by competition, since the moat here is regulatory certification and incumbency, not switching cost alone. Fourth, watch for a meaningful shift in classified-contract renewals away from Palantir toward in-house agency builds: federal agencies internalising the ontology and pipeline layer would signal that the structural verb library (P4) and queryable history (P5) Palantir provides are now replicable without the vendor, which is the open-source-clone invalidator translated into the federal context. A drawdown in share price, a lost contract in a single domain, or a quarter of slowing seat growth are not falsifiers; the signal to act on is a documented structural displacement of Palantir's records and permissions layer by a credible substitute that meets the same regulatory bar.
Daily closes are shown for context. Reference levels are deterministic outputs of Sorbet's published ATR method, not analyst targets or advice.
2025-07-28 → 2026-08-31
$186.38
Short-term levels use 14d ATR and the 200d average. The 3y projection compounds the current revenue-growth rate with no multiple expansion. Missing inputs stay blank.
Revenue growth + FCF yield, not the conventional FCF-margin formulation. Visible for judgment, but not wired into selection.
The available history does not support a directional trend classification.
| Quarter | Revenue YoY | Gross margin | FCF margin | Operating margin |
|---|---|---|---|---|
| 2026-03-31 | 83.42% | 86.78% | 54.62% | 46.18% |
| 2025-12-31 | 67.00% | 84.65% | 54.31% | 40.90% |
| 2025-09-30 | 55.73% | 82.45% | 42.41% | 33.30% |
| 2025-06-30 | 39.46% | 80.78% | 52.97% | 26.83% |
| 2025-03-31 | 30.99% | 80.43% | 34.40% | 19.92% |
| 2024-12-31 | 26.32% | 78.91% | 55.25% | 1.33% |
Palantir's trajectory is defined by its ability to convert deep government classification relationships into the dominant runtime for agentic workflows in regulated and federal environments, where data residency, chain-of-custody, and human-in-the-loop audit requirements are non-negotiable entry tickets that most agent platforms simply cannot clear. The critical execution test over the next three years is whether the AIP platform — already wrapping Palantir's ontology and pipeline machinery in an agent-legible interface — can sustain expansion from defence and intelligence customers into civil agencies and regulated commercial verticals such as financial services and healthcare, compounding seat and consumption revenue without sacrificing the security posture that constitutes its moat. What remains unproven is whether Palantir can translate its bespoke, high-touch deployment model into a scalable, lower-friction onboarding motion: the current land-and-expand cycle is long and personnel-intensive, which constrains how quickly the installed base can grow relative to the pace of federal AI adoption. The open structural question is P2 — Palantir's ontology-driven approach approximates a state machine for complex operational objects, but explicit, enforced state transitions comparable to those in purpose-built ITSM or issue-tracking platforms are not yet a first-class product primitive, and closing that gap would meaningfully deepen its claim as the backbone of autonomous agent workflows in classified and compliance-bound environments.
No material signals for PLTR in this period.
positive signal but thin coverage (only P5) — hold for confirmation.
positive signal but thin coverage (only P5) — hold for confirmation.
Earnings in 0 day(s). Defer trim/add proposals through the print.
131.0%
Reviewed disclosure · quarter ending 2021-12-31