Full SpaceX Roadshow Presentation "IPO"

Company positioning & strategy (SpaceX as an integrated platform)

• Mission expansion via a “repeatable business model”: use orbital launch to enable and scale adjacent businesses—Starlink connectivity, then AI infrastructure—leveraging vertical integration across hardware, software, infrastructure, and operations.
• Core operating identity: “We are builders” and the only company building integrated hardware and software infrastructure to power multiple businesses.
• Strategic culture/process (Elon’s “algorithm” translated into execution steps):
  • Make requirements less dumb (treat questioning requirements as a core habit)
  • Delete parts / process steps to reduce complexity
  • Optimize, accelerate, automate
  • Apply improvements across product lines (e.g., engines/processes → vehicles → constellation operations → AI infrastructure)

Product / operations playbooks & concrete execution improvements

Rocket reusability as the cost + cadence lever

Reusability (Falcon / Starship) is framed as the “unlock mechanism” that reduces launch costs and increases launch rate.

Key milestones cited:

• 2008: First private liquid-fuel rocket to reach orbit (Falcon 1)
• 2012: First private company to dock with ISS
• 2015: First successful propulsive landing of an orbital-class booster (Falcon 9 first stage)
• 2017: Refly an orbital-class booster
• 2020: First private company to launch astronauts to orbit and fly to ISS

Cost and throughput targets (launch scaling economics)

• Falcon first-stage reuse: described as driving ~85% reduction vs historic launch costs (referenced against an industry baseline)
• Starship goal: “10x improvement” in cost efficiency from already industry-leading Falcon
• Throughput/capacity scaling:
  • Falcon 9: 23 metric tons → 64 metric tons (Falcon Heavy cited as current capability)
  • Starship v3: ~100 metric tons to orbit
  • Starship v4 (in design): ~200 metric tons (capacity potentially doubling again)
• Launch cadence scaling example:
  • “Hanger full of rockets” (supporting customers with supply)
  • 165 Falcon 9 launches in “last year” (context: ramp/cadence milestone)

Connectivity strategy (Starlink GTM + network KPIs)

Starlink value proposition

• High-speed, low-latency global broadband from space
• Can reach places terrestrial internet cannot

Capacity / per-launch performance metrics

• Starlink V2:
  • 96 Gbps per satellite
  • ~27 satellites per launch
• Starlink V3 step-change:
  • ~20x improvement in capacity per launch (Falcon today: V2 → “version 3”)
  • With Starship: ~60 satellites per launch
  • Each delivering roughly ~1 terabit/sec, totaling ~61 terabits/sec downlink per launch
• Network expansion translation:
  • After 20 Starship launches: ~1.2 petabytes of capacity per year (capacity scale-up target)

User growth & geographic reach (Starlink KPIs)

• End of 2024: ~4.4M users
• End of last year (YOY doubling): ~8.9M users
• End of Q1: ~10.3M users
• Growth: over 100% year-over-year
• Coverage:
  • Over 164 countries/territories
  • ~3 billion people covered
• Market adoption signals:
  • Starlink increasingly used as primary or backup for fixed-site customers prioritizing resiliency/reliability
  • Aviation: “announcement almost every week” regarding airline adoption
  • Government: Starshield (separate US government constellation)

Direct-to-handset strategy (new product line)

• Gen 1 (proof concept):
  • 650 satellites flown
  • Service turned on with 30 mobile network operators (largest noted: T-Mobile)
  • Coverage: 1.9B people
• Gen 2:
  • Target: “full 5G quality to your phone”
  • Positioned as transformational for the digital divide (“other three billion people”)

AI strategy (end-to-end value capture + infrastructure business model)

Business model

• “Own the full value chain to the end customer” by leveraging launch/space infrastructure
• Build an in-house frontier model with the aim to capture all of that value

AI compute infrastructure KPIs / assets

• Colossus 2 data center (coherent supercomputer)
• NVIDIA GB300
• First gigawatt-scale training cluster
• Gigawatt-scale megawatt-battery installation
• Deployed GB200s and 300s at significant scale
• “Gigawatt of nameplate compute draw” cited as a compelling capability

Orbital AI compute thesis & execution blockers addressed

• Positioned as future AI infrastructure that reduces concerns about AI data centers:
  • No/low operating cost rationale: power from the sun + radiative cooling from satellites
  • Distribution capability framed as not a fundamental constraint (enabled by the Starlink network)
• Technology reuse from existing systems:
  • Ion propulsion thrusters
  • Inter-satellite laser links
  • Flight computers / reaction wheels
• Differentiator claimed: only company able to do it “in any meaningful time frame”

Monetization examples (partner/customer acquisition)

• Anthropic: deal to host their model on SpaceX data center/access capacity (recently signed)
• xAI / Curser (spelled “Curser” in subtitles): deal tied to improving SpaceX coding capability using compute resources

“Cycle” concept (flywheel)

• Improved intelligence quality + lower token costs
• Monetize → reinvest into infrastructure → further improvements (flywheel)

Model differentiation + data strategy

• “Advanced truth-seeking AI” positioning
• Real-time data integration via X platform / OnX (cited as key to real-time information inputs)

Financial performance, margins, and targets (execution outcomes)

Capital allocation & value creation (historical and recent)

• Raised $9B total and generated:
  • $7.8B positive adjusted EBITDA (last year cited)
  • $3.6B R&D in the same “last year” period (investing for the future while profitable)

Topline growth milestones

• 2025: >30% YoY growth with ~$19B revenue

2025 connectivity momentum

• Connectivity segment growth: ~50% YoY in 2025

AI capex emphasis

• Capex: ~$21B last year, majority associated with AI buildout
• Monetization signals: “already” monetizing a meaningful portion via hosting deal(s)

Q1 actuals

• ~$5B topline in Q1
• Connectivity segment: ~$3B of Q1 revenue

Longer-term profitability targets (forward-looking KPIs)

• Gross margins: ~70%
• Net income (or “gap net income”) margin: ~45%
• Expected: revenue growth significantly higher than YoY (directional target; no exact number given)

Market sizing (high level only; execution emphasis preserved)

• Available market cited: ~$6T (space/connectivity/AI pieces)
• Enterprise AI market described as over $28T
• Future adjacency themes (execution direction, not investing detail):
  • Point-to-point transportation, terrestrial manufacturing/productivity
  • Asteroid mining (future possibility)
  • Lunar economy: on track to put “boots back on the moon” within “next couple of years”

Why SpaceX expects to win (business execution advantages)

• Orbital launch leadership as the enabling moat
• Unrivaled satellite/connectivity platform with vertical integration:
  • Design, manufacturing, deployment, operations
• AI advantage stack:
  • “Truth-seeking” models + real-time data from X/OnX
• Operational efficiency at scale:
  • Extreme vertical integration → high velocity + superior cost efficiency at scale
• Replicability barrier:
  • Scaling across trillion-dollar markets in space, connectivity, and AI is described as difficult to replicate without the launch platform advantage

Presenters / sources

• Brett Johnson, Chief Financial Officer (CFO) of SpaceX (presenter; described as CFO for 15 years).