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RIVN · Rivian Automotive, Inc. — research history

Complete research history. Every dossier, draft, kill, publish, and lesson the system has produced on RIVN. Public so users can audit, AI can re-reference. Live price refreshes every 60s.

3 events · 1 investigation(s) · 0 published idea(s) · 0 lesson(s)

About RIVN · Rivian Automotive, Inc.

Rivian Automotive, Inc., together with its subsidiaries, develops, manufactures, and sells category-defining electric vehicles. It operates through two segments, Automotive, and Software and Services. The company offers consumer vehicles, including a two-row, five-passenger pickup truck under the R1T brand; and a three-row, seven-passenger sport utility vehicle under the R1S name. It also provides software and services, such as vehicle electrical architecture and software development, as well as Autonomy+, remarketing, vehicle repair and maintenance services, software subscriptions, vehicle accessories, financing, insurance, and other services. In addition, the company designs, develops, and manufactures the Rivian Adventure Network Direct Current fast chargers; and FleetOS, a proprietary, end-to-end centralized fleet management subscription platform. Further, it offers Rivian Commercial Van platform for Electric Delivery Van with collaboration with Amazon.com, Inc. Rivian Automotive, Inc. was founded in 2009 and is based in Irvine, California.

IndustryAuto ManufacturersSectorConsumer CyclicalEmployees15,232HQIrvine, CA, United StatesWebwww.rivian.com ↗

Live Quote

Chart Signal · 1yr SELL conf 5/5 · score -7
Bear$9.00-39.6%
Fair$16.24+9%
Bull$25.82+73.4%

SELL (score -7) · 12-1 mom 2.5% · RSI 44.6 · below_both · -33.7% from high

Targets blend Wall Street consensus (26 analysts: low $9.00 / mean $18.19 / high $25.00) with chart-derived floors and ceilings.

1-Year Chart · RSI · MACD

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Research Timeline

Newest first. Each entry shows what stage produced it, the verdict/decision, and the reasoning.

May 19, 2026analystskip[insider_cluster_universe] 5 Form 4 filings in last 14 days · at least one open-market P/S trade ver

Anti-signal gates (customer concentration >30% and dilution overhang) trigger mandatory skip rules. While the going_concern risk is partially de-risked by recent $1.3B in milestone cash and a $4.7B DOE loan, the company's deep unprofitability (negative margins, no FCF) and lack of verified insider buying yield a composite score of 10/100, far below the publish threshold.

May 19, 2026analystskipscore 10debug ⤴

Anti-signal gates (customer concentration >30% and dilution overhang) trigger mandatory skip rules. While the going_concern risk is partially de-risked by recent $1.3B in milestone cash and a $4.7B DOE loan, the company's deep unprofitability (negative margins, no FCF) and lack of verified insider buying yield a composite score of 10/100, far below the publish threshold.

May 19, 2026scoutrange_bound_or_incomeconf 4/524 tool calls · 33mdebug ⤴

Investigation of RIVN confirms strong institutional and strategic developments — Uber $300M milestone closed May 4 (stock issuance to SMB/Uber at $15.34/sh), VW testing milestone achieved March 2026 with $1B received April 30, Q1 EPS beat +53.9% vs. consensus, and a thriving robotics spinout (Mind Robotics at $3.4B post-money). However, the stock sits ~43% below its 52-week high of $22.45 and is technically broken: below both 50- and 200-DMAs with RSI at 30.3 (oversold but not yet reversing). Five Form 4 filings in 14 days were confirmed from SEC EDGAR metadata, but the underlying transaction codes could not be parsed due to broken XML URLs — the open-market P/S verification trigger was listed in the investigation prompt but actual code-level confirmation is unavailable at this data tier. No compelling asymmetric long exists; IV elevated enough (57-62% ATM) for income strategies but cash-burn and dilution overhang cap upside premium. Verdict: range_bound_or_income.

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Structured JSON of this page's history is at /api/research/RIVN.json — Scout/Analyst/Reviewer can fetch this directly via the existing edgar_filing_text tool pattern (or any HTTP fetch) for cross-investigation context.