Uber Technologies (UBER)

Investment Committee Summary

Investment Thesis

At $79.29 (25 August 2026) and roughly 25x forward earnings, the market is paying for a proven margin and cash-flow inflection while treating the autonomous-vehicle question as balanced rather than resolved. The engine's base path assumes mid-teens gross-bookings growth with the take rate held and a consolidated operating margin near 5.3%, producing a twelve-month base-case target of $92.23; the probability-weighted value of $81.67 also clears the quote, but the cash-flow anchor and the simulated median pull the blend down to a fair value of $75.05, -5% against spot, which leaves the shares fairly valued against our estimate of intrinsic value at a rating of HOLD. Mobility and delivery are the two segments that matter; freight contributes bookings at effectively no margin. Two facts temper the compounding story: share-based pay runs near 3.3% of revenue, a real economic cost to net against any headline margin, and net debt of ~$4.4B sits behind an asset-light narrative. The single most damaging risk is robotaxi disintermediation — if an operator scales an owned consumer network in core metropolitan markets, mobility bookings and the take rate compress together and the structural path targets a level below the 52-week low.

Narrative drafted 2026-08-16 by claude-opus-5 under supervision; reviewed by Marinus 2026-08-16.

The dashboard below is the whole argument on one page: spot ($79.29) against each valuation anchor, the scenario tree, technicals and the options-implied move.

Anti-Thesis (The Real Bear Case)

The most probable bear is not a crash but a slow disintermediation. Robotaxi operators need utilisation today and lean on Uber's demand, so the partnership looks durable — until an operator with its own fleet and app reaches enough density in a handful of metropolitan markets to route riders directly. Uber then loses the highest-frequency, highest-take-rate trips first, and the marketplace flywheel runs in reverse: fewer premium trips, weaker supply economics, thinner mobility margin. Meanwhile an adverse gig-classification ruling raises the labour cost base precisely as pricing power fades, and rising commercial insurance cost grinds against unit economics that start from an operating margin of only 5.3%. Bookings still grow, but the take rate slips and the margin inflection stalls. The multiple then de-rates from a growth platform to a challenged intermediary, and with dilution running near 3.3% of revenue the per-share arithmetic worsens while the business is still growing. That path targets a level below the 52-week low.

Key Debate

P/E Multiple explains 49% of Monte Carlo outcome variance — i.e. value is set by the multiple the market will pay, a rate/sentiment regime bet as much as an earnings bet.

What the Market Is Pricing In

At the current price, the market pays 24.2× consensus forward EPS, vs the house DCF terminal 20.0×, and a peer median 27.5×. The house DCF sits 12% below spot, so the market is pricing in more than the house case — roughly 1.4pp of revenue CAGR.

Variant perception: the house view is below-consensus, and the thesis is primarily growth-driven.

Scenario Analysis

The scenario tree spans a structural 'AV Disruption (Waymo/Tesla)' downside ($40.60) to a 'AV Partner + Freight Bull' bull case ($136); the probability-weighted blend (PWEV $81.67) is +3% versus spot.

SBC charge: scenario targets are gross per-share prices; the PWEV is reduced by one year of stock-based-compensation dilution (3.0% of shares, on SBC ≈ 4% of revenue), trimming the gross PWEV of $84.11 to $81.67 (-2.9%). SBC is charged once, as dilution — never also deducted from FCF.

Scenario rationale — the driver path behind every target:

• AV Disruption (Waymo/Tesla) (20%, $40.60). Tesla and/or Waymo scale owned robotaxi networks via their own consumer apps, disintermediating Uber's Mobility marketplace; gross-bookings growth decelerates to low-single-digits, Mobility take-rate compresses as Uber fights to retain demand, and consolidated Adj EBITDA margin on bookings stalls. The market re-rates Uber as a structurally challenged middleman; the multiple compresses toward ~9x EBITDA. Target sits below the 52-week low — a genuine structural-impairment case where the AV bear thesis plays out. Drivers — bookings growth: ~3-5%; mobility take rate: compresses to ~24%; ebitda margin on bookings: stalls ~4%; av outcome: owned robotaxi bypass; multiple: ~9x EV/EBITDA.
• Regulatory / Gig Reclassify (15%, $55.40). Adverse driver-classification rulings in one or more major markets (EU Platform Work Directive bite + a US state reversal) force employee-level labor costs and benefits, raising Mobility cost structure and compressing take-rate margin. Bookings growth holds mid-teens but EBITDA margin on bookings stays capped as labor and insurance costs absorb operating leverage; the multiple stays de-rated ~11x on margin uncertainty. Drivers — bookings growth: ~12-14%; mobility take rate: ~26% net of higher costs; ebitda margin on bookings: capped ~4.5%; labor cost: step-up; multiple: ~11x EV/EBITDA.
• Base (30%, $88.40). Gross bookings compound mid-to-high teens (Mobility ~15-18%, Delivery ~18%), take-rate holds ~28-30%, advertising attach scales, and consolidated Adj EBITDA margin on bookings expands toward ~4.5-5% as fixed-cost leverage and ad mix flow through. FCF conversion inflects positively (asset-light, low capex). AV remains a managed partner opportunity rather than a near-term threat; the multiple normalizes ~14-15x EV/EBITDA on proven margin/FCF inflection. Drivers — bookings growth: ~16%; mobility take rate: ~29%; ebitda margin on bookings: ~4.7%; ad revenue: ~$2B+ run-rate; multiple: ~14x EV/EBITDA.
• ME Bull (25%, $110). Bookings accelerate toward ~20% on MAPC growth, frequency gains and Uber One membership flywheel; advertising scales past ~$2.5B at high incremental margin, lifting consolidated Adj EBITDA margin on bookings above ~5.5%. Strong FCF generation funds buybacks; operating leverage compounds. The multiple expands ~17x EV/EBITDA as the margin/FCF inflection is fully recognized. Drivers — bookings growth: ~20%; mobility take rate: ~30%; ebitda margin on bookings: >5.5%; ad revenue: >$2.5B; multiple: ~17x EV/EBITDA.
• AV Partner + Freight Bull (10%, $136). The partner-AV thesis is vindicated: Uber becomes the dominant demand-aggregation and fleet-marketplace layer for third-party robotaxis (Waymo and others), monetizing AV miles without driver-supply cost and lifting structural Mobility margin; Freight inflects to positive Adj EBITDA on a freight-cycle recovery. Bookings compound ~20%+, EBITDA margin on bookings pushes toward ~6%+, and Uber is re-rated as the asset-light AV platform winner; multiple ~19-20x EV/EBITDA. Drivers — bookings growth: >20%; av outcome: partner-platform win; ebitda margin on bookings: >6%; freight: positive Adj EBITDA; multiple: ~19x EV/EBITDA.

Valuation Triangulation

Four weighted anchors — an intrinsic dcf, a scenario-weighted pwev, a monte carlo median (student-t + regime switching) and a peer p/e re-rate — read them with their basis in mind. The Monte Carlo, the DCF terminal and any peer re-rate key off a market multiple, so they are not fully independent; only discounted cash flows themselves are genuinely multiple-free. The discipline is to read the spread and weight the cash-based view, not to treat four numbers as four independent votes.

The house blend DECLARES five anchor weights — DCF 35%, scenario PWEV 25%, Monte Carlo 15%, sum-of-parts 15%, peer re-rate 10%. For this name sum-of-parts is not computed, so 15% of the declared weight is redistributed across the anchors that exist — which is why the weights above differ from the declared ones. The fair value is unaffected by this disclosure; the blend has always worked this way.

Peer EV/Revenue re-rate — 0% weight: it duplicates the peer-multiple information already carried by the Peer P/E anchor while ignoring margin mix; weighting both would double-count the peer view. Shown as a cross-check.

sum-of-parts excluded from the weighted blend — diverges >55% from the Monte-Carlo / scenario core. For a high-leverage equity the per-share DCF (enterprise value less large net debt) is hypersensitive to the terminal multiple; a peer re-rate across heterogeneous margins is apples-to-oranges. Shown above for reference; the blend leans on the multiple-discipline and scenario anchors.

Monte Carlo — the outcome distribution

10,000 paths, Student-t shocks (fat tails) with a regime-switching overlay. The median lands at $67.84 and 39% of paths finish above spot. The variance decomposition shows the p/e multiple is the dominant swing factor (49% of variance). Value is a multiple bet: fundamentals move the answer far less than the rating does.

DCF — the cash-flow anchor

Independent of the market multiple: a 5-year path, WACC 10.0%, 20.0x terminal FCF multiple → $69.63. This anchor is deliberately the heaviest (41%): it is the valuation least hostage to the current multiple regime.

Peer benchmarking — relative value

Against the peer cohort, re-rating to the peer-median forward multiple (P/E 27.5x) implies $88.28. A premium is only justified by superior growth/margins; otherwise it is multiple risk. Weighted just 12% so market sentiment does not set the fair value.

Sum-of-parts

Valuing each piece at the multiple it deserves (Mobility (ride-hail) 16.0x, Delivery (Uber Eats) 13.0x, Freight 1.0x) → $23.61. 'Mobility (ride-hail)' dominates at 16.0× → $34B (69% of EV) — the segment whose multiple matters most.

Across all anchors the spread is 143% of the median — wide (genuine disagreement — the blend carries low valuation confidence).

Sensitivity

DCF/share — WACC × terminal multiple

DCF/share — revenue CAGR Δ × op-margin Δ

Tornado — DCF/share swing by driver (widest first)

Company lever — SoP/share vs Mobility (ride-hail) multiple (AI re-rating) (base 16.0x)

Peer Quality & Weighting

Quality-weighted forward P/E: 28.3× (simple median 27.5×). Direct peers count 100%, segment 50%, broad 25%.

Valuation-anchor screen: Sum-of-parts (excluded (>3× or <0.3× spot)). Anchor median 68.7. Extreme/excluded anchors carry no headline weight.

Historical-range cross-check: 52-week range $65.41–$102, centre $81.70 (+3% vs spot); spot sits at the 38th percentile of the range. Low-weight mean-reversion cross-check, not a fundamental anchor.

Risk / Reward & Margin of Safety

That ratio compares triangulated upside against the probability-weighted bear target, not the extreme tail; with a leg missing it is withheld rather than computed from a magnitude. Bull case (AV Partner + Freight Bull): $136.

Company Overview & Business Model

Uber Technologies — TECHNOLOGY · SOFTWARE - APPLICATION. Uber Technologies, Inc., commonly known as Uber, is an American technology company. Its services include ride-hailing, food delivery (Uber Eats), package delivery, couriers, freight transportation, and, through a partnership with Lime, electric bicycle and motorized scooter rental.

How it makes money.

Edge. Narrow moat — The moat is a two-sided liquidity/network effect (dense supply-demand marketplace, cross-platform Mobility+Delivery+ads flywheel, membership) that is real but contestable — which supports a ~28x normalised multiple only while Uber remains the demand aggregator AV operators need. If a robotaxi operator (Waymo/Tesla) reaches self-sufficient density in enough metros and routes riders directly, the moat is narrow at the highest-frequency layer and the multiple should compress toward the mid-teens. Falsifiable: if an owned-fleet AV app takes measurable ride-hail share in 2-3 major metros, the network-effect moat does not hold 28x.

Revenue-Segment Breakdown

The company-specific drivers behind the valuation — each segment carries its own growth, margin, multiple and capex intensity. (Tags: FACT reported · ESTIMATE from disclosures · INFERENCE judgment.)

Named Exposures

Autonomous-vehicle (AV) disruption vs opportunity (ESTIMATE/INFERENCE)

Regulatory / driver classification (ESTIMATE/INFERENCE)

Industry Context — Consumer Platforms

This name sits in the Consumer Platforms cluster as a mobility/delivery platform (Rides + Eats + Freight) name. Consumer discretionary spend on rides/delivery is rate- and confidence-sensitive; but the dominant swing factors are gig-worker reclassification risk and the AV/robotaxi disruption tail (Waymo/Tesla) — partner upside vs displacement downside. Its scenarios are not guessed in isolation — they inherit a single, shared view of the cluster's driver cycle, so the names that depend on the same event are mutually consistent.

Value chain: UBER (mobility/delivery platform (Rides + Eats + Freight)) · HOOD (retail brokerage / fintech platform (equities, options, crypto))

Mapping note: name-level 'ME Bull' (25%) + 'AV Partner + Freight Bull' (10%) map to cluster Consumer Strength / Re-rate (35%) — the cluster row is the SUM of the mapped scenario probabilities, not a different estimate.

On the cluster's key downside — Consumer Recession / Regulatory (consumer pulls back + rate cuts hit NII; adverse regulatory rulings (gig reclassify / crypto crackdown)) — this name implies 15% vs the cluster house view of 22% (in line with the house). The cluster's full cross-stock reconciliation governs that the names which ride the same capex cycle assign it comparable odds.

Structure: Consumer Demand — Both depend on discretionary consumer activity — UBER on ride/delivery frequency, HOOD on retail trading engagement. Soft consumer confidence pressures both, but via different mechanisms. (INFERENCE). Rate Sensitivity — HOOD is directly rate-sensitive via net interest income on customer cash/margin balances; UBER is indirectly rate-sensitive through consumer spending power and (more importantly) the discount rate applied to a long-duration growth/AV-optionality valuation. (FACT). Regulation — UBER faces gig-worker classification risk (driver reclassification raises cost structure); HOOD faces payment-for-order-flow (PFOF) scrutiny and crypto/securities regulatory overhang. Shared theme: both are regulated consumer-facing platforms exposed to policy shifts. (FACT). Disruption Tails — UBER's tail is robotaxi/AV (Waymo/Tesla) — a partner-and-supply upside or a network-displacement downside. HOOD's tail is the crypto cycle — a structural bust that removes a high-margin revenue and engagement pillar. These tails are uncorrelated with each other. (INFERENCE).

Balance Sheet & Liquidity

Balance-sheet data as of 2025-12-31 (Alpha Vantage).

Capital Allocation

Free-Cash-Flow Quality

Accounting quality: SBC 4% of revenue; cash conversion (OCF/NI) 100% — cash-backed.

Competitive Moat

Moat sources:

• Two-sided liquidity/network density in Mobility + Delivery marketplaces
• Cross-platform flywheel: Uber One membership, ads attach (~$1.5B+ run-rate), rider/eater overlap
• Scaled supply-demand data + dispatch/routing at global density
• CONTESTED: Uber is an AV PARTNER not owner — the moat depends on AV operators needing its demand, which owned-fleet apps could bypass

Earnings-Call Disconfirmation & Sentiment

Derived signals from the MCH market-data store (Alpha Vantage transcripts + news). Quantitative tone only — a disconfirmation flag, not a substitute for reading the call.

Management vs analyst tone (2026Q2): management +0.49 vs analyst floor +0.00 → delta +0.49 (n=20 mgmt / 8 Q&A; 67th pctile across the S&P book, z +0.5).

Flag: TYPICAL — management-vs-analyst tone within the normal cross-sectional range.

News (last 365d, 1942 articles): avg ticker sentiment +0.15 (bullish 13% / bearish 2%)

Consensus & Market Expectations

_Consensus figures: Alpha Vantage sell-side aggregates. Where the house view sits materially above or below the street, the divergence is itself a datum — see the thesis.

Catalyst Calendar

• 2026-08-31 (~7d) — Uber One membership + advertising monetization milestone (authored)
• 2027-02-28 (~188d) — Gig-worker classification legal/legislative decision (EU/UK/US states) (authored)

Forecast Track Record

• EPS surprise: beat 62% of the last 8 quarters; average surprise +114.6%.
• Prior-forecast backtest (25 snapshots, 2026-04-24→2026-08-20): directional hit-rate 100%; mean predicted +28.3% vs realised +9.1%. Disconfirming track record is reported, not suppressed.

Catalyst Timeline

5 catalysts in the next 90 days (of 14 tracked). Importance 1–3; confidence 0–1.

_Sources: extended.catalysts, data/catalysts/.json, data/catalysts/macro.json, AV DIVIDENDS, opex 3rd-Friday calc.

Regulatory & Legal Risk

Probabilities and sensitivities are analyst estimates, not market-implied.

Scenario Macro & Key Risks

Scenario-macro rows withheld pending re-authoring: 1 carrying another cluster's vocabulary or a frozen figure — recorded in the narrative quarantine ledger.

Decision Rules (Machine-Checked)

Stance: Increase — 1 bullish / 0 bearish / 0 caution rules triggered of 6 evaluable (0 lacked data).

Machine-checked rules over disclosed inputs. The authored falsification triggers elsewhere in this report are analyst judgment and are NOT evaluated here. The stance is a portfolio-management signal and does not modify the published research rating.

Reasons the Thesis Could Fail (Falsifiable)

Pre-registered signals that would break the thesis — each polices a specific scenario boundary and is checked at every earnings update:

• Consolidated gross-bookings growth (YoY, constant currency) < 10% (2 consecutive prints). (rationale withheld pending re-authoring — frozen figure or verdict)
• Mobility take-rate (segment revenue / segment gross bookings) < 26% (2 consecutive prints). (rationale withheld pending re-authoring — frozen figure or verdict)
• Consolidated Adjusted EBITDA margin on gross bookings < 4.2% (2 consecutive prints). (rationale withheld pending re-authoring — frozen figure or verdict)
• Adverse gig-worker reclassification ruling in a major market (US state, UK or EU) >= 1 binding ruling forcing employee-level costs (single event). A binding reclassification in a major jurisdiction is the discrete event that moves the weight from Base toward the Regulatory / Gig Reclassify scenario, structurally raising the Mobility cost base and capping margin.
• Robotaxi operator launching a direct consumer app at scale in a top-10 Uber US metro (own fleet, bypassing Uber dispatch) >= 1 metro at commercial scale (single event). The AV bear turns on disintermediation. A robotaxi operator running a scaled direct-to-consumer network in a core Uber market is the observable event that validates the owned-fleet bypass rather than the partner model, shifting weight to AV Disruption.
• Trailing-twelve-month free cash flow conversion (FCF / Adjusted EBITDA) < 70% (2 consecutive prints). (rationale withheld pending re-authoring — frozen figure or verdict)

Fact / Inference / Speculation

• FACT: Spot $79.29; 52-week range $65.41–$102; engine rating HOLD; house target $92.23 (+16%). (source: Alpha Vantage 2026-08-24, 25 August 2026)
• INFERENCE: Triangulated FV $75.05 (-5% vs spot · triangulated FV); the rating tracks the Monte-Carlo + scenario-PWEV core; the cash-flow anchor sits below the multiple-discipline core.
• SPECULATION: At current prices the embedded bet is that the market keeps paying the current multiple through the capex cycle — a regime call the engine cannot verify from fundamentals alone.

Conviction Score

Research Conviction measures the strength and quality of the research setup — input coverage, financial quality, valuation support, process agreement. It is NOT the probability that the recommendation succeeds; the forecast track record section is the evidence on that.

64.7/100 (confidence band 55.6–73.8), 74th percentile of 858 covered names (as of 2026-08-24). Weighted composite under config ros-1.19.0 — every component and its inputs below.

Score history: 63.2 → 63.2 → 63.5 → 63.3 → 63.3 → 65.0 → 64.8 → 64.8.

Probability-Weighted Return Profile

Horizon: 1 year — at this horizon CAGR equals total return by definition. Expected values are the probability-weighted sums over the full scenario set below.

The gross expected return is the probability-weighted scenario return (it reconciles to the gross PWEV); the diluted figure applies the SBC share-count charge and matches the published PWEV-based target.

Expected Alpha

Expected return minus the return this name is REQUIRED to deliver for its risk (1-year horizon). Constants are pre-registered (preregistered-static (amendment #2, 2026-07-29); not fitted to MCH outcomes).

A negative expected alpha does not change the rating — it says the expected return does not clear the risk-adjusted hurdle at today's price. Rating mechanics are unchanged by this section.

Probability Cross-Checks

Not authoritative. The scenario probabilities in this report are AUTHORED — a judgement about how the world might go, not a measurement. Nothing below modifies them, the target, the rating or any position size. These checks ask only whether anything outside our own model agrees with us; where it does not, that is information for the reader, not a correction we have quietly applied.

Authored set: 5 scenarios, probabilities summing to 1.0, mean target $84.11.

Flagged for review: internal coherence (authored mass vs Monte Carlo). A flag marks a disagreement worth understanding — it does not imply either side is wrong.

Factor Exposures

Cross-sectional percentiles over 858 covered names (style scores sector-demeaned; thematic = return-beta to the theme's proxy ETF). 50 = estate median.

Market interaction: correlation vs SPY +0.46, vs QQQ +0.44 (trailing ~1y daily returns).

Options Intelligence

Preferred structure: Long Stock. The selector reads the equity view (direction) and the volatility surface — nothing here re-prices the chain.

• no directional edge and options are cheap — options add little; hold the stock
• Direction neutral from the overlay conviction/rating (read-only input).
• IV/RV at the 12th percentile of the cross-section → low vol bucket. This is the measure that selects the structure above: it ranks how rich this name's implied vol is against its own realised vol, relative to other names.
• Reported alongside and not used to select: this name's own ATM IV sits at the 54th percentile of its own month-end history (decile 6). The two measures disagree here — vol is high for this name by its own history while its options are not unusually rich against its realised vol. Where they diverge, the cross-sectional measure is the one acting.
• IV term structure is in contango (longer-dated richer, slope +6.8pp) — favour longer-dated ownership (LEAPS) or calendars that are long the cheaper front.
• No live-chain Long Stock was priced for this name — shown as the indicated strategy; size against a freshly pulled chain.

IV term structure (contango, slope +6.8pp): 32-DTE 35% · 88-DTE 40% · 389-DTE 42%

No live-chain Long Stock was priced for this name — shown as the indicated approach; size against a fresh chain.

Alternatives: . IV rank shown via the name's own monthly IV history (advisory); structure selected on the cross-sectional IV/RV percentile. Model output for research and education only — not individualised investment advice. Position-sizing and stance figures are mechanical outputs of the disclosed rules and inputs; they do not consider any person's objectives, financial situation, or tax status.

Position Sizing Framework

Model output for research and education only — not individualised investment advice. Position-sizing and stance figures are mechanical outputs of the disclosed rules and inputs; they do not consider any person's objectives, financial situation, or tax status.

Options Overlay

A defined-risk way to express the HOLD equity view. Chain as of 2026-08-24 — end-of-day marks — indicative, not executable quotes.

Market signals — ATM IV 34.7% (moderate regime) · expected move ±8.2% (2026-09-25) · put/call OI 1.03 · ATM Δ 0.55 / Θ -0.05 / ν 0.09. Direction: NEUTRAL (implied return -5.4% to triangulated fair value $75.05).

Covered Call (if held) (Income / neutral) — Short 85 C · 2026-09-25 · premium $1.26 · yield 1.6% · priced from the listed chain (EOD marks)

Converts a near-fair holding into income by agreeing to sell at a higher strike — worth weighing when upside looks limited near fair value and being called away is acceptable. Illustrative — no outcome is implied or guaranteed.

Put Spread (income) (Income / would-own) — Short 73 P / Long 67 P · 2026-10-02 · net $0.94 · net entry $72.06 · yield 1.3% · RoR 19.0% · max loss $5.05 · priced from the listed chain (EOD marks)

Gets paid to wait for a lower entry, with the tail capped: the sold put collects premium while the cheaper long wing below it caps the maximum loss at the spread width — a defined-risk alternative to a naked cash-secured put.

Protective Collar (if held) (Hedge) — Long 72.5 P / Short 87.5 C · 2027-03-19 · net $1.35 · floor -9.0% · cap +10.0% · priced from the listed chain (EOD marks)

For a holder who wants to stay invested but cap risk: the sold call funds most of the protective put, fencing the position into a band — a way to ride out a de-rating without selling.

Indicative options structures — a defined-risk expression of the equity view, model-and-market illustrated from the last-close chain. NOT personalised advice or an executable quote; premiums, IV and greeks move intraday. Options carry the risk of total loss of premium. Not a registered financial adviser.

Rating Bridge

Rating = HOLD because:

• Probability-weighted scenario value implies +3% vs spot
• Monte Carlo median implies -14% vs spot
• DCF fair value implies -12% vs spot — but this is terminal-value sensitive (exit-multiple $69.63 vs Gordon $51.48, 26% apart), so it carries less weight
• Bear case (AV Disruption (Waymo/Tesla)) downside is -49% vs spot
• Net: the valuation anchor itself sits 5.3% below spot, so there is no reward leg to weigh against the bear case and the reward-to-risk ratio is withheld rather than computed off a negative upside. The rating is not asymmetric enough for a Buy and not impaired enough for a Sell — hence Hold.

Model Appendix

DCF — line items

FCF is bridged: NOPAT + D&A − Capex − ΔNWC (capex intensity 1% of revenue, weighted from the segments) — not a single conversion fudge.

WACC 10.0% · Σ PV(FCF) $25B + PV(terminal) $118B = EV $144B; (net cash ≈ 0) → equity $144B ÷ diluted shares $2.06B = $69.63/share (exit-multiple terminal).

• Gordon terminal at 2.5% → $51.48/share — a genuinely non-multiple, cash-based cross-check; the exit-multiple and Gordon values bracket the terminal-value risk.
• Incremental ROIC on the forecast capex ≈ 189% vs WACC 10.0% → above WACC — the build is value-creative.

Peer set

Implied prices at the peer medians: peer-median fwd P/E → $88.28; EV/Rev → $140.

Weighted fair-value math

Assumption Register

Sensitivity-ranked drivers (widest fair-value swing first): Op margin ±3pp (35.0); Revenue CAGR ±3pp (18.0); Terminal × ±15% (17.0); WACC ±1pp (6.0); Capex intensity ±15% (2.0).

Inputs, Sources & Confidence

Every load-bearing input, labelled by type and confidence. (reported fact · company guidance · consensus estimate · market data · house estimate · inference.)

Research Provenance

Load-Bearing Assumptions

DCF: WACC 10.0%, terminal multiple 20×, FY+5 revenue $100B. Triangulation leans 41% on DCF, 29% on PWEV, 18% on the Monte Carlo median, 12% on peer-implied value.