Erosion risks

• Service degradation (wait times, order accuracy)
• Reputation damage (labor disputes, controversy)
• Macro downturn shifts consumers to cheaper options

Leading indicators

• North America comp sales (traffic vs ticket)
• Customer satisfaction / NPS (if disclosed)
• Brand sentiment and social chatter around service

Counterarguments

• Switching costs are low; customers can easily multi-home across coffee options
• Drive-thru specialists can match convenience at lower price points

Erosion risks

• Competitors replicate loyalty and mobile ordering
• Lower engagement if promotions are needed to sustain activity
• Regulatory limits on stored value/rewards economics

Leading indicators

• U.S. Rewards 90-day active members
• Mobile Order & Pay usage (if disclosed)
• Stored value card liability and Stars deferral trends

Counterarguments

• Loyalty may be more promotional than structural; engagement can fall if benefits weaken
• Consumers may optimize across multiple reward ecosystems

Erosion risks

• Over-saturation and cannibalization
• Lease/occupancy cost inflation
• Store closures reduce convenience advantage

Leading indicators

• Net store count (openings vs closures)
• Transactions per store / throughput
• Drive-thru and delivery mix (where disclosed)

Counterarguments

• Smaller-format and delivery-first models reduce the advantage of dense storefront networks
• Local independents can win on differentiation in specific neighborhoods

Erosion risks

• Labor turnover and training complexity
• Unionization reduces operating flexibility
• Technology outages disrupt order flow

Leading indicators

• Transaction throughput / wait-time metrics (if disclosed)
• Labor hours per transaction and wage inflation
• Employee turnover and staffing levels

Counterarguments

• Processes and tech are imitable; advantage depends on sustained execution quality

Erosion risks

• Climate change and crop disease reduce yields
• Coffee price volatility and premiums compress margins
• Trade policy and tariffs raise sourcing costs

Leading indicators

• Arabica price and differentials vs C-price
• Supply chain disruptions / tariff actions
• Green coffee availability and logistics performance

Counterarguments

• Coffee is a global commodity; supply programs may reduce risk but not create exclusive access

Erosion risks

• Local competitors win on price and local tastes
• Geopolitical tensions and consumer nationalism
• Brand perception shocks from controversies

Leading indicators

• International comp sales (traffic vs ticket)
• China comp sales and promotional intensity
• Net store growth by region

Counterarguments

• In some markets (notably China), competition is intense and pricing pressure can weaken premium positioning
• Local brands can be more culturally resonant and expand faster via lower-cost formats

Erosion risks

• Competitors outpace Starbucks in new unit growth
• Real estate constraints and rising rents
• Execution risk with licensed partners

Leading indicators

• Store openings/closures by major market (e.g., China, Japan, U.K.)
• Licensed partner performance and compliance issues
• Same-store sales in key countries

Counterarguments

• Rapid local chain growth can quickly dilute Starbucks' relative footprint advantage
• A large licensed base can reduce control over service consistency

Erosion risks

• Climate and weather shocks in producing countries
• FX and trade restrictions affecting sourcing costs
• Commodity volatility outpaces pricing ability

Leading indicators

• Coffee input cost trends and hedging results
• Tariff/trade policy changes affecting coffee imports
• Supply chain disruption incidents

Counterarguments

• Upstream programs mitigate risk but do not guarantee differentiation versus other global buyers

Erosion risks

• Retailer private label and value brands trade customers down
• Brand dilution if quality/experience doesn't translate to at-home
• Reputational issues spill into retail channels

Leading indicators

• Channel Development net revenue trend
• Royalty and other revenue growth
• Partner product innovation cadence (new SKUs)

Counterarguments

• At-home coffee is crowded and frequently price-promoted; brand alone may not sustain share

Erosion risks

• Partner underperformance or misalignment (execution controlled externally)
• Renegotiation risk at contract milestones
• Regulatory or trade changes affecting cross-border distribution

Leading indicators

• Royalty revenue trend tied to alliance performance
• Deferred revenue related to Nestle prepaid royalty (if tracked)
• Disclosures about partner performance or disputes

Counterarguments

• Distribution is partner-controlled; Starbucks has limited direct control over shelf execution
• CPG category power often sits with retailers and large distributors, not brand licensors

Erosion risks

• Execution complexity across many formats and partners
• Innovation misfires in new categories
• Margin dilution if growth skews to lower-margin formats

Leading indicators

• Mix shift within Channel Development
• New product launch success rates
• Partner expansion announcements

Counterarguments

• Large CPG incumbents may still outspend and out-distribute Starbucks-branded products