🐂 UBER — Company Profile (Educational)¶
Educational site, not investment advice. Market cap / stock price / quarterly financials are volatile — not written here. Links to SEC + Yahoo Finance instead; verify real-time data yourself.
📌 Basics¶
| Dimension | Content | Source |
|---|---|---|
| Core business | Mobility (global 70+ countries) + Delivery (Uber Eats) + Freight + membership (Uber One) + AV integration (announced partners: Waymo / WeRide / NVDA / Nuro-Lucid; TSLA/Cybercab is only a potential partnership or long-term competitor — no formal Uber access announcement) | SEC 10-K |
| Founded / HQ | 2009 / San Francisco, California, USA | wiki |
| CEO | Dara Khosrowshahi (since 2017/08, replacing Travis Kalanick) | DEF 14A |
| Primary listing | NYSE: UBER | — |
| Fiscal year | Calendar year (Jan 1 – Dec 31) | — |
💡 Real-time market cap / stock price / Trips / Bookings / Uber One members: see SEC + IR links below
🏭 Industry Chain Coordinates (Part 1-C6 framework)¶
Upstream (Who UBER depends on)¶
| Supplier | What flows | Key dependency |
|---|---|---|
| Drivers (gig, millions globally) | Mobility + delivery supply | Core supply, gig worker regulation risk |
| Restaurants + grocery + convenience stores | Uber Eats merchants | Fragmented |
AV partners (formally announced) — Waymo (GOOGL sub) · WeRide (Abu Dhabi + 5-yr expansion to 15 cities) · NVDA (DRIVE platform partnership) · Nuro / Lucid (Robotaxi program) |
AV fleet access | Multi-partner, all fleets early |
AMZN AWS + GOOGL GCP |
Cloud infrastructure | Multi-cloud mix |
Downstream (Who depends on UBER)¶
| Customer | Relationship | Customer concentration |
|---|---|---|
| Global riders (~150M+ MAU scale) | B2C mobility + delivery | Extremely fragmented |
| Uber One subscribers | B2C subscription | Extremely fragmented |
| Uber for Business (corporate travel / catering) | B2B accounts | Fragmented |
| Advertisers (Uber Ads, restaurant promotion + in-ride ads) | Ad platform (new business) | Fragmented |
Competitors¶
- Mobility direct rivals:
LYFT(US) ·Bolt(Europe, private) ·DIDIY(Didi, China ADR) ·Grab(GRAB, SE Asia) ·Ola(India, private) - AV long-term threat:
TSLA(Cybercab / FSD own network — potential future partnership OR long-term competitor; both CEOs have expressed openness but no formal Cybercab-to-Uber access announcement, Tesla leaning toward in-house network) ·Waymo(GOOGL, independent own network + Uber partnership in parallel) · China Robotaxi (PONYPony.ai) - Delivery direct rivals:
DASH(DoorDash) · Grubhub (sold to Wonder 2025/01; JTKWY no longer parent) ·Deliveroo(ROO.L) - Freight:
XPO·CHRW·KNX·JBHT
💼 Business Model + Value Capture (Part 1-C7 lens)¶
- Revenue mix: Mobility ~55-60% / Delivery ~30-35% / Freight ~5-10% / Other ~1-3%
- Gross margin: Take rate ~20-25% (after driver / merchant payouts); EBITDA margin +ve (since 2023), free cash flow strong
- Pricing power: Dynamic pricing + network effects (two-sided market) — strong; Uber One subscription locks in customers
- Substitution difficulty: Network effects high — two-sided market (drivers + riders) hard to replicate from scratch; but AV era structural threat (TSLA / Waymo own fleet bypasses UBER platform)
(Quarterly Trips / Bookings / Uber One net adds: see latest 10-Q)
🏰 Moat Assessment (Part 3-C2 Buffett 5-step lens)¶
| Type | Strength (0-1) | Source |
|---|---|---|
| Brand | 0.8 | "Uber" is global verb for mobility |
| Switching cost | 0.4 | Rider switch to Lyft / Bolt low cost; Uber One subscription increases stickiness |
| Network effects | 0.9 | Two-sided market (driver ↔ rider), more drivers → shorter ETA → more riders flywheel |
| Scale + cost | 0.7 | Global scale amortizes tech + marketing cost |
Composite: 2.8 / 4 → Extreme network effects + brand moat, but AV long-term disruption risk
⚠️ Key Reverse Trigger Conditions (Part 3-C5 anti-thesis lens)¶
- Trigger 1 (quarterly): Mobility bookings YoY < 10% (saturation signal)
- Trigger 2 (event): Waymo commercial robotaxi continues expansion (already 11 cities + 500K paid trips/week) or TSLA Cybercab self-operated network commercializes and pressures Uber in key markets (e.g., SF / Austin / Phoenix)
- Trigger 3 (regulatory): Key markets (e.g., California / EU / UK) reclassify drivers as employees — major cost structure impact
- Trigger 4 (quarterly): Take rate declining (driver bargaining up / regulatory pressure)
- Trigger 5 (strategic): UBER own-AV business execution (2020/12 sold ATG to Aurora, now pure integrator; long-term ability to lock AV supply is key)
🔗 Cross-Chapter Teaching Links¶
- Part 1-C6 · 5 Roles in Industry Chain — Downstream D.5 application + mobility
- Part 1-C7 · Value Capture — Two-sided market network effects case
- Patterns Investing Laws — #1 network effects · #14 regulatory / disruptive tech (AV)
📚 SEC Primary Public Filings (look it up yourself)¶
- SEC EDGAR UBER all filings — 10-K / 10-Q / 8-K / DEF 14A full history
- Investor Relations page — earnings calendar + historical reports
- Latest 10-K search — full annual financials + driver classification + risk factors
Real-time stock price: Yahoo Finance UBER
Educational — numbers shift; learn the method, not the figures · investment decisions based on your own research + risk tolerance