← 실적 발표
PLTR FY2026 Q1 상향

Palantir Technologies Inc. 실적 발표

May 04, 2026 · 17:00 ET Alex KarpDave GlazerRyan Taylor earningscall_biz
Buzzberg 분석

Raises FY26 revenue guidance to 71% annual growth

Palantir reported an exceptional Q1 2026, with 85% YoY revenue growth and 104% growth in the U.S., leading to a significant raise in full-year guidance. The company emphasizes a strong focus on operational AI and direct value creation, particularly in national security and manufacturing. Revenue growth accelerated for the 11th consecutive quarter, reaching 85% YoY.

Buzzberg 분석 Raises FY26 revenue guidance to 71% annual growth Palantir reported an exceptional Q1 2026, with 85% YoY revenue growth and 104% growth in the U.S., leading to a significant raise in full-year guidance. The company emphasizes a strong focus on operational AI and direct value creation, particularly in national security and manufacturing. Revenue growth accelerated for the 11th consecutive quarter, reaching 85% YoY. 전체 분석 보기분석 접기

Palantir reported an exceptional Q1 2026, with 85% YoY revenue growth and 104% growth in the U.S., leading to a significant raise in full-year guidance. The company emphasizes a strong focus on operational AI and direct value creation, particularly in national security and manufacturing. Revenue growth accelerated for the 11th consecutive quarter, reaching 85% YoY.

  • Rule of 40 score expanded to 145, driven by strong growth and high profitability.
  • U.S. commercial growth hit 133% YoY, with impactful customer transitions and new partnerships.
  • U.S. government segment grew 84% YoY, with Maven usage doubling and deployment across services and commands.
매출$1.6326B+16% 전분기 대비
US_COMMERCIAL 매출$0.595B보고값
US_GOVERNMENT 매출$0.687B보고값
주당순이익(EPS)$0.33+32% 전분기 대비
근거 있는 핵심 내용 6개

지금 중요한 점

이번 발표에서 가장 의미 있는 변화를 정리했습니다.

01
Guidance

Raises FY26 revenue guidance to 71% annual growth

02
Demand

U.S. business surpassed 100% YoY growth for first time since GPO

03
Government

Maven usage doubled in four months and quadrupled in twelve

핵심 내용 3개 더 보기
04
AI

AIP positioned as only no-slop production AI platform

05
Product

Palantir replaced legacy CRM with AIP in a few months

06
AI

Management frames cheaper tokens as expanding AI workloads via Jevons paradox

보고 기간

보고 실적

지표보고값변화
매출$1.6326B+16% 전분기 대비
US_COMMERCIAL 매출$0.595B보고값
US_GOVERNMENT 매출$0.687B보고값
주당순이익(EPS)$0.33+32% 전분기 대비
매출총이익률86.78%보고값
영업이익률46.18%보고값
향후 전망

향후 가이던스

지표기간범위중간값상태
잉여현금흐름FY2026$4.2B–$4.4B컨센서스 상회$4.3B상향
영업이익률FY20264.44%–4.452%컨센서스 상회4.446%상향
매출FY2026$7.65B–$7.662B컨센서스 상회$7.656B상향
매출FY2026 Q2$1.797B–$1.801B컨센서스 상회$1.799B상향
AI, 자본지출 및 수요 분석

경영진 분석

Bullish

Alex Karp framed the results as proof Palantir's differentiated approach is winning, with demand exceeding capacity and a record guidance raise.

AI

경영진의 AI 분석

Management cast AIP as the only production-grade 'no-slop' AI platform, with demand outstripping their ability to scale and cheaper tokens expanding use cases. They see AI labs as creating market awareness but lacking the ontology and governance required to deliver real enterprise value.

아래에 언급된 기업 7개 모두 표시

기업발표 이후 수익률

고객

고객

GE Aerospace's deepened partnership signals expanding AIP deployment in production and military aviation supply chain, indicating strong demand and operational value from Palantir's platform.

근거
“on the back of the 26% increase in engine production with AIP, GE Aerospace deepened their partnership with Palantir last quarter to deploy agentic AI-powered solutions across their production system”
Ryan Taylor

경쟁사

OPENAI
경쟁사

Palantir's AIP coupled with frontier models (e.g., OpenAI's) is driving a security 'Sputnik moment,' which increases reliance on Palantir's Apollo for remediation, creating growth tailwinds.

근거
“Nethos and Spud and even other current generation models with AIP are capable of finding novel vulnerabilities in complex cyber kill chains. They have discovered thousands of zero days in major operating systems and browsers.”
Alex Karp
ANTHROPIC
경쟁사

Palantir positions itself as the only viable enterprise AI platform, implying that offerings from labs like Anthropic are not effective for production deployments.

근거
“almost every single highlighted example of AI actually producing results in the U.S. is actually Palantir by Palantir. One of the ways to pen test what we're saying is just dig into the examples of AI actually transforming an enterprise.”
Alex Karp

공급망

공급망

Declining token costs are a key demand driver for Palantir's AIP. This trend benefits NVIDIA as AI adoption expands, potentially increasing demand for their GPUs.

근거
“GPT-4 equivalent performance that costs $20 per million tokens in early 2023 is now approximately 1,000 times cheaper three years later.”
Shyam Sankar
공급망

A successful U.S. commercial customer program transitioned to a U.S. government customer, masking the commercial segment's true growth. — The transition shows Palantir's unique ability to convert federal R&D into military contracts, potentially impacting competitiveness over time, especially with defense-focused suppliers.

근거
“As Ryan noted, we had a successful U.S. commercial customer program transition to a U.S. government customer. Absent this transition, U.S. commercial growth would have been 143% year-over-year and 22% sequentially.”
Dave Glazer
공급망

Palantir is replacing its own legacy CRM software with an internal AIP-based solution, highlighting the technology's ability to disrupt traditional enterprise software. — Palantir's own dogfooding suggests an accelerated shift from incumbents to AI-native solutions, potentially impacting the long-term growth of legacy CRM and software providers.

근거
“This quarter, we replaced our old, expensive CRM with an AI-first solution built on AIP in a few months that users absolutely love.”
Shyam Sankar
외부 신호

공급망 알파 · 2발표 이후 수익률

A1

A successful U.S. commercial customer program transitioned to a U.S. government customer, masking the commercial segment's true growth.

A2

Palantir is replacing its own legacy CRM software with an internal AIP-based solution, highlighting the technology's ability to disrupt traditional enterprise software.

방법론 및 범위

경영진 발언만 분석합니다. 검증된 기업 언급 7개를 모두 표시하며, 보고 실적과 향후 가이던스를 분리합니다. 공개 근거는 화자가 표시된 짧은 인용문 8개로 제한됩니다. AI 분석은 불완전하거나 틀릴 수 있으므로 중요한 주장은 원문에서 확인하세요.