Rappi

1.1 Corporate Identity and Multi-Vertical Super-App Model

Rappi was established in Bogotá, Colombia in 2015 by entrepreneurs Simón Borrero, Sebastián Mejía, and Felipe Villamarín, initially operating as an on-demand delivery platform for neighborhood merchants and consumers. Over a decade of aggressive execution, the enterprise expanded beyond food delivery into a comprehensive regional super-app incorporating grocery logistics, pharmacy orders, e-commerce fulfillment, and financial services through RappiPay and RappiCard. The platform currently operates across nine Latin American nations—including Colombia, Mexico, Brazil, Argentina, Chile, Peru, Uruguay, Ecuador, and Costa Rica—covering more than 400 metropolitan cities. Commercial operations are administered by RAPPI S.A.S., which coordinates developer APIs, merchant store onboarding, and the RappiOne analytics platform for enterprise brand allies. Statutory filings in Colombia demonstrate that domestic operations generated 767,316 million Colombian pesos ($236.55 million USD) in 2025 revenue, reflecting substantial monetization across core delivery and financial verticals.[CO001, CO002, CO003, CO010, CO011]

1.2 Founders, Leadership Structure, and Governance Evolution

The core founding trio—Simón Borrero (Chief Executive Officer), Sebastián Mejía, and Felipe Villamarín—guided Rappi through multiple hypergrowth cycles following their incubation at Y Combinator in 2016. In 2024, the enterprise marked an important corporate governance milestone when Sebastián Mejía stepped down from his executive role as operational president after nearly ten years, transitioning into a non-executive stewardship role on the Board of Directors. Domestic geographic management is anchored by country heads such as Matías Laks, CEO of Rappi Colombia, who oversees operational scale exceeding eight million monthly deliveries. Engineering execution is structured into specialized functional business units; for example, the restaurant engineering vertical encompasses over 140 technical personnel and 15 agile squads directed by VP of Engineering Facundo Viale. Major institutional capital partners hold formal board representation, notably SoftBank Investment Advisers managing partner Jeffrey Housenbold, ensuring institutional alignment across global growth initiatives.[CO001, CO004, CO005, CO006]

1.3 Capitalization History, Institutional Investors, and Debt Facilities

Rappi is among the most heavily capitalized private technology startups in Latin America, having raised approximately $2.46 billion in total funding across 15 financing rounds. The company made history in September 2018 when a Series D round led by DST Global propelled its post-money valuation past $1.0 billion, establishing Rappi as Colombia's first technology unicorn. Institutional capitalization accelerated dramatically in April 2019 when Japan's SoftBank Group Corp committed $1.0 billion through an equal split between its SoftBank Vision Fund and newly created Latin America Innovation Fund. High-profile early and growth syndicate investors include Sequoia Capital, Andreessen Horowitz, Delivery Hero, and Y Combinator. Recent capital actions demonstrate a shift toward structured liquidity and commercial alignment, marked by a $100 million conventional debt facility arranged with Banco Santander in August 2025 and a $25 million Series F convertible transaction with Amazon in September 2025.[CO006, CO007, CO008, CO009]

1.4 Operating Scale, Regional Footprint, and Financial Turning Point

Following nearly a decade dominated by aggressive geographic expansion and substantial cash burn, Rappi achieved a pivotal financial inflection point in its domestic market. Filings compiled by Colombia's Superintendencia de Sociedades reveal that Rappi registered positive net income for two consecutive operating periods: generating a net profit of 97,250 million Colombian pesos in 2024, followed by 210,176 million pesos ($64.82 million USD) in 2025, representing an annual profit expansion of 116%. This turnaround stands in stark contrast to its historical capital deployment, where accumulated losses had mounted to 1.2 trillion Colombian pesos ($369.99 million USD) against 1.8 trillion pesos in cumulative revenue through 2023. While third-party market intelligence estimates Rappi's global run-rate revenue at roughly $1.3 billion ARR with an employee footprint between 12,600 and 14,849 personnel, consolidated parent-level audited financials covering Mexican and Brazilian subsidiaries remain undisclosed private records.[CO010, CO011, CO012, CO013]

1.5 Corporate Milestones, Strategic Alliances, and Operational Headwinds

Rappi's evolution from a scrappy courier app in 2015 to a diversified Latin American platform has been punctuated by major commercial partnerships and persistent operating complexities. In September 2025, the company entered a high-profile strategic relationship with Amazon to explore integrating last-mile parcel logistics with Rappi's courier network and evaluating mutual subscription bundling between Rappi Prime and Amazon Prime. Nonetheless, scaling rapid on-demand logistics introduces critical operational bottlenecks. Rappi's agile fleet is inherently structured around motorcycle and bicycle couriers handling small restaurant orders and groceries, creating capacity constraints for larger retail parcels. Concurrently, public reports highlight service friction regarding customer support response times and delivery accuracy, while labor regulators across Latin America increasingly scrutinize the independent contractor status of tens of thousands of gig couriers, creating prospective cost pressures.[CO001, CO006, CO007, CO010, CO014, CO015]

1.6 Exhibits

2.1 Market Boundary, Category Architecture, and Addressable Spend

The Latin American on-demand delivery and super-app ecosystem represents a multi-billion dollar transaction environment connecting urban consumers with merchants and couriers. Rappi's commercial scope encompasses five primary operating segments: restaurant food delivery, grocery and convenience quick commerce (including Turbo 10-minute fulfillment), pharmacy and personal essentials, general retail e-commerce, and financial services under RappiPay and RappiBank. In Latin America's densely populated metropolitan areas, the addressable spend spans both discretionary food ordering and nondiscretionary weekly grocery and household procurement. However, direct on-demand delivery captures only a digital facilitation fee (merchant take rates and customer delivery surcharges) rather than the entirety of gross merchandise volume (GMV). Status-quo alternatives include informal neighborhood commerce, direct merchant phone ordering, and physical retail errands, which still represent the vast majority of Latin American household consumption.[CM001, CM002, CM003, CM004]

2.2 Market Sizing Lenses and Constrained Addressable Opportunity

Sizing the addressable market for Latin American on-demand platforms requires distinguishing between total retail grocery and restaurant spending, digital penetration, and serviceable capture. Total retail food and beverage spend across Rappi's nine operating markets exceeds $150 billion annually, yet online delivery penetration remains concentrated in Tier-1 and Tier-2 metropolitan centers. Statista and third-party industry trackers estimate Latin America's online food delivery user base expanding toward regional maturity, but private platform opacity prevents an audited parent-level GMV confirmation. Third-party benchmarks indicate Rappi generated substantial annual transaction volume across 400+ cities, reaching 35 million platform users and commanding over 50% market share in Colombia. In contrast, in Brazil, incumbent iFood retains dominant category leadership, constraining Rappi's serviceable addressable market (SAM) to urban smartphone cohorts with disposable income and digital payment instruments.[CM005, CM006, CM007, CM008]

2.3 Tripartite Marketplace Dynamics and Buyer Segmentation

Rappi's marketplace model operates via a tripartite ecosystem comprising consumers (end users), commercial allies (restaurants, grocers, and consumer brands), and independent couriers. Consumer segmentation centers on middle-to-high-income urban dwellers prioritizing delivery speed and friction-free convenience across meals, groceries, and pharmacy. Commercial allies range from enterprise multi-location restaurant chains and consumer packaged goods (CPG) manufacturers to independent neighborhood retailers. CPG brands interact with the platform through specialized B2B offerings such as RappiOne, where brand managers license performance analytics and sponsored placement across cities and categories. Merchants integrate directly into inventory and order routing workflows through developer APIs and merchant management portals, while independent couriers provide flexible labor capacity subject to localized earnings incentives.[CM009, CM010, CM011, CM012]

2.4 Adoption Tailwinds, Regulatory Bottlenecks, and Structural Headwinds

Market adoption is propelled by smartphone ubiquity, urban density, algorithmic routing optimization, and strategic investments in AI supply-chain technology such as Fountain9. However, Rappi's expansion encounters acute structural headwinds. Governments across Latin America, notably in Colombia and Brazil, have advanced legislative proposals seeking to reclassify gig-economy couriers from independent contractors to formal employees. Mandating formal employment status, minimum hourly wages, and social security contributions would fundamentally increase unit delivery costs, challenging low-labor-cost platform economics. Concurrently, competitive fragmentation in key geographies—such as iFood's dominance in Brazil and Uber Eats' presence in Mexico—induces promotional discounting and limits commission expansion, requiring platforms to balance consumer retention with unit contribution margins.[CM013, CM014, CM015, CM016]

2.5 Exhibits

3.1 Landscape, Direct Peers, and Substitutes

The competitive set is broader than restaurant delivery. Independent directories consistently identify Uber Eats and iFood as direct peers, while a separate regional directory identifies PedidosYa as a direct competitor in Uruguay, Argentina, and Chile [CP001, CP002]. Tracxn uses a wider global peer set—DoorDash, Glovo, and Delivery Hero—showing that the comparison changes with the geographic and corporate lens [CP003]. Rappi itself is presented as a multi-vertical service spanning food, grocery, pharmacy, other retail, payments, and travel, and Statista describes operations across nine Latin American countries and more than 400 cities [CP004, CP005]. Adjacent pressure also matters: Mercado Envíos can substitute for parts of Rappi's retail-logistics proposition, while JOKR is listed against rapid grocery delivery [CP012]. The evidence does not establish that every named platform overlaps in every country, so the profile table treats the landscape as a partial, evidence-bounded sample rather than an exhaustive market map.

3.2 Capability, Merchant Workflow, and Distribution

Rappi's strongest documented capability evidence concerns the merchant side of the network. RappiOne exposes performance metrics by country, city, category, manufacturer, and brand, while the restaurant API covers menus, orders, schedules, stock availability, and webhooks [CP006, CP008]. A 2021 engineering account described 15 restaurant-domain squads working across the customer app, restaurant onboarding, advertising, operations, and partner self-service, which demonstrates historical organizational investment but not current staffing or superior execution [CP009]. These tools can deepen operational integration because merchants connect catalogs and order workflows to Rappi; however, the public documentation contains no exclusivity term or switching-cost measurement [CP013]. The assigned evidence also lacks equivalent official product and developer documentation from Uber Eats, iFood, and PedidosYa. Accordingly, the capability matrix marks unsupported rival cells as unknown rather than assuming parity or inferiority, and it distinguishes documented functionality from competitive proof.

3.3 Pricing, Scale Signals, and Moat Durability

Public scale signals show substantial capital behind the category but do not reveal operating liquidity or market share. Tracxn reports that Rappi raised $2.46 billion over 15 rounds and records a $25 million Series F in September 2025; these are financing amounts, not cash available [CP010]. The same source profiles iFood as a Brazil-based food-and-grocery platform with $592 million of funding, while other independent sources place Uber Eats and PedidosYa in Rappi's direct set [CP001, CP002, CP011]. On pricing, the clearest primary evidence is merchant-facing: RappiOne provides a three-month trial, followed by a privately agreed subscription charge that is separate from the Rappi marketplace commission [CP007]. Secondary descriptions also identify RappiPrime as a monthly subscription with delivery and discount benefits [CP016]. No assigned source provides comparable current fees, merchant take rates, discount depth, or contract terms for the major rivals. The defensible conclusion is therefore narrow: breadth and integration create potential retention levers, but the evidence cannot establish lock-in, pricing power, or a durable moat [CP013, CP014].

3.4 Exhibits

4.1 Revenue model and monetization

Rappi appears to monetize several layers of the same commerce network rather than one recurring software contract. Sacra estimates merchant commissions at 75% of 2023 revenue, advertising at 13%, Prime subscriptions at 10%, and e-commerce at 2%; these are analyst estimates, not audited disclosures. It also estimates merchant commissions of 10%–30% of order value and customer delivery fees of 5%–15%, which should not be treated as realized take rate. Rappi's own RappiOne terms add a business-data subscription: allies receive a three-month trial, then pay a negotiated amount and a platform-use commission in addition to the underlying marketplace commission. RappiOne exposes sales, order, frequency, average-ticket, channel, and SKU metrics, suggesting merchant data and measurement can deepen monetization, but no public realized price or revenue contribution is available.[CI001, CI002, CI004, CI010, CI011]

4.2 Traction and revenue quality

The strongest public revenue number is still an estimate with an unclear accounting perimeter. Sacra estimates $856 million of 2023 revenue, up 37% from 2022. Multiples also records $856 million alongside a September 2025 financing, but says such figures are typically run-rate revenue or reported LTM; that convention does not establish that Rappi generated exactly $856 million in 2025. Two independent profiles report management's claim of four consecutive positive-EBITDA quarters during 2025, while also saying profits were being fully reinvested. EBITDA is not free cash flow, and the public record provides no reconciliation to audited revenue, gross profit, stock compensation, working capital, capex, interest, taxes, or consolidated net income.[CI003, CI005, CI006, CI007, CI009]

4.3 Cost structure and unit economics

Public operating evidence identifies cost drivers but does not quantify contribution margin. Rappi's restaurant APIs manage menus, orders, item availability, stores, schedules, and webhooks across country-specific domains, implying ongoing integration, reliability, and multi-market support expense. A 2021 company engineering post described more than 140 people and 15 squads in the Restaurants engineering unit and explicitly tracked infrastructure cost and potential losses from failures; this is historical evidence of a meaningful fixed technology layer, not a current headcount estimate. Labor regulation is a material downside: EquityZen warns that employee classification could add wages and social-security obligations. Without courier cost per order, incentives, refunds, payment losses, dark-store occupancy, support costs, and country-level gross profit, neither the margin path nor sales efficiency can be independently tested.[CI012, CI013, CI014, CI016]

4.4 Capital adequacy and financial verdict

Capital adequacy remains unresolved despite signs of financing access. Tracxn and Sacra both report a $100 million debt financing in August 2025; Sacra describes a four-year senior secured facility for refinancing and working capital. Separately, third-party profiles say Rappi was reinvesting all profit, which makes the conversion from adjusted profitability to liquidity especially important. The assigned Nasdaq Private Market and careers pages yielded no usable Rappi-specific price, staffing, or financial metric in their retained text, so they cannot close the valuation or cost-base gaps. The financial verdict is therefore conditional: multiple revenue streams and reported positive EBITDA are encouraging, but debt, reinvestment, and aggressive operating complexity make audited statements, cash, burn, covenant headroom, and segment contribution margins prerequisites to underwriting.[CI007, CI008, CI009, CI015, CI016]

4.5 Exhibits

5.1 Product Definition and Customer Workflows

Rappi delivers an on-demand multi-vertical consumer Super-App spanning restaurant meals, supermarket groceries, pharmacy essentials, e-commerce merchandise, travel bookings, and digital financial products across nine Latin American nations. In customer workflow terms, consumers search localized inventories, customize item selections, manage real-time carts, configure courier gratuities, and initiate mobile checkout flows backed by automated address resolution. Merchant allies configure catalog availability, synchronize retail store menus, and process incoming order requests either through web management portals or programmatic REST APIs. External community tooling and reverse-engineered client interfaces illustrate that core interactions follow standardized REST endpoints for catalog discovery, cart modification, checkout preview, and order tracking. However, platform resilience remains strictly coupled to merchant responsiveness, requiring integration standards that penalize partner software failures.[CE001, CE002, CE003, CE004]

5.2 Platform Modules, Merchant Surfaces, and Developer Ecosystem

The platform's technical architecture spans consumer-facing client applications, dedicated merchant portals, and backend integration engines. For retail partners, Rappi provides the Integrations Manager and allied Developer Portals to facilitate technical support, manage configuration credentials, and monitor webhook events for order lifecycles. To maintain platform throughput during peak demand windows, Rappi imposes rigorous operational performance standards on integrated partners: merchant webhook listeners and polling clients must maintain at least a 98% API request success rate and space polling requests by at least 45 seconds to avoid access revocation or de-listing. Beyond proprietary web and mobile interfaces, third-party developer initiatives have created command-line utilities and Model Context Protocol servers to bridge external AI assistants and client scripts with Rappi's catalog and order APIs, underscoring community demand for programmable platform access.[CE005, CE006, CE007, CE008]

5.3 Distributed Architecture and Machine Learning Infrastructure

Rappi's underlying operating model runs on Amazon Web Services infrastructure, scaling from a centralized retail delivery service into a distributed microservices ecosystem running across Amazon Elastic Container Service and Kubernetes clusters. To reduce time-to-market for predictive features, Rappi's data organization instituted a multi-layer Machine Learning Platform composed of RappiFlow—an Airflow distribution with proprietary plugins running on Kubernetes—alongside cloud-hosted JupyterHub environments and centralized vector embedding repositories that map entities such as products, orders, users, and stores into unified vector representations. Engineering teams are organized in a cross-functional matrix structure combining specialized domain squads (such as restaurants, onboarding, and RappiAds) with core disciplines across analytics, data science, and infrastructure engineering, ensuring rapid delivery across regional headquarters.[CE009, CE010, CE011, CE012]

5.4 Observability, Scalability, and Technical Operational Dependencies

Processing over 8.8 million monthly orders across 250 Latin American cities requires continuous operational visibility. Facing legacy telemetry bottlenecks that took minutes to alert and hours to diagnose, Rappi integrated Splunk Observability Cloud across its fleet of 1,000+ microservices, 6,000 cloud hosts, and 15,000 active containers. This observability fabric reduced mean time to resolution by more than 90%, supported a 300% order surge during peak pandemic demand, and provided real-time incident context via automated mobile alerting for on-call engineers. Despite these resilience gains, Rappi faces structural technical dependencies: core operations rely heavily on AWS cloud hosting, and mobile application crashes or gateway latency spikes directly threaten order conversion, merchant partner satisfaction, and transactional revenue.[CE013, CE014, CE015, CE016]

5.5 Exhibits

6.1 A multi-sided customer base with uneven public measurement

Rappi addresses consumers seeking food, grocery, pharmacy, shopping, travel, payment, and banking services, while restaurants and other merchants use the platform for demand generation and fulfillment. Its current Argentina, Mexico, and Colombia storefronts each claim that more than 40,000 allies across nine countries work with Rappi and tell merchants they can reach millions of users through immediate logistics; these are company-issued marketing claims, not audited active-account counts. Rappi also maintains a country-selectable restaurant onboarding portal, and its RappiOne terms define a separate subscription analytics product for commercial allies. The resulting customer architecture spans consumer users and payers, restaurants, retail or CPG brands, and fintech users, but public materials do not disclose revenue mix, active-account definitions, or segment-level economics.[CU001, CU002, CU003, CU004, CU005]

6.2 Adoption signals are broad but not cohort-comparable

The available adoption figures mix different populations and vintages. Verto claims more than 30 million active users across nine countries in 2026, but the article does not disclose whether "active" means monthly transacting users, registered accounts, or another denominator. Wikipedia reports that Rappi worked with more than 250,000 businesses in August 2020, whereas current country storefronts advertise more than 40,000 allies across nine countries; the figures should not be trended because "businesses" and "allies" may cover different populations. The same secondary source reports 300,000 RappiBank savings-account customers and, in Colombia, around 750,000 RappiPay users and more than 120,000 distributed credit cards, but those figures are not dated consistently on the page. EMARKETER identifies shifting 2026 regional food-delivery purchasing behavior, yet its accessible topic page supplies no Rappi-specific cohort metric.[CU002, CU011, CU012, CU013, CU016]

6.3 Named storefront presence is not outcome proof

Rappi's country storefronts provide current, named merchandising evidence: the Argentina page lists McDonald's, Burger King, and KFC among ten "most chosen" brands; the Mexico page lists Little Caesars, McDonald's, and Starbucks; and the Colombia page lists McDonald's, El Corral, and Juan Valdez Café. This shows that named brands are presented to users on live ordering surfaces, but the pages do not disclose contract status, exclusivity, order volume, revenue, retention, or customer outcomes. Accordingly, the table below classifies production status as unverified rather than inferring a deployment from a logo or ranking. It is a geographic sample of displayed merchants, not an exhaustive customer census or evidence that any listed brand is a retained enterprise customer.[CU014, CU015]

6.4 Merchant analytics can support expansion, but durability remains unproven

RappiOne creates a plausible merchant expansion loop by exposing metrics by country, city, category, manufacturer, and brand, including user and order growth, purchase frequency, average ticket, SKU, sales-channel participation, and delivery percentages. Rappi's 2021 engineering account also described five restaurant-domain groups and 15 squads covering the customer app, restaurant onboarding, RappiAds, operations, and partner self-service tools. Those capabilities may deepen merchant engagement, but the legal terms warn that automated recategorization can create metric differences and do not guarantee permanent service availability. Separately, SWOTAnalysis.com characterizes service quality as inconsistent and customer and courier churn as high under competitive pressure, without publishing supporting methodology. No retained source provides NRR, GRR, renewal, contract length, cohort curves, Prime retention, or top-customer concentration, so durability and dependency risk remain material diligence gaps.[CU006, CU007, CU008, CU009, CU010, CU014]

6.5 Exhibits

7.1 Regulatory and Legal Exposures

Rappi operates across nine Latin American jurisdictions with complex, evolving regulatory environments spanning fintech, antitrust compliance, consumer protection, and merchant contracting. The most acute confirmed regulatory enforcement action involves Mexico's National Antitrust Commission (CNA), which sanctioned Grupo Financiero Banorte and Rappi with a fine of MX$19.9 million (approximately US$1.1 million) over an unauthorized business concentration. The CNA determined that the parties executed their July 20, 2020 alliance agreement—establishing the Tarjetas del Futuro venture behind RappiCard—granting Banorte operational intervention rights in Rappi's credit card management before mandatory antitrust clearance. While Banorte subsequently obtained clearance to acquire Rappi's remaining 44.28% stake in April 2025 for US$50 million with a 15-year exclusivity agreement, the precedent highlights severe execution risk in joint-venture structuring. Beyond antitrust penalties, Rappi's legal exposure extends to partner merchant terms. The RappiOne Ally Platform Terms and Conditions (administered by Rappi S.A.S. and Rappi Inc.) impose strict unilateral liability limitations: Rappi explicitly disclaims liability for indirect or direct damages resulting from platform downtime or unavailability, disclaims guarantees of continuous 24-hour operation, and shifts data accuracy risks arising from automated catalog re-categorization to the ally. These terms create friction with commercial partners and expose Rappi to commercial litigation and regulatory scrutiny across Latin American consumer and commerce authorities.[CR001, CR002, CR003, CR004, CR005, CR009]

7.2 Operational Reliability, Partner Friction, and Engineering Execution

Operational integrity across Rappi's multi-sided marketplace depends on tightly coupled integration touchpoints between retail allies, delivery logistics, and core platform microservices. Rappi's official Developer Portal reveals substantial technical vulnerabilities inherent in its order-lifecycle mechanics. Merchant allies are constrained to an inflexible four-minute SLA window to accept or reject incoming orders before Rappi's automated systems trigger an irreversible order cancellation due to timeout. Furthermore, orders can only be processed once; any attempt to accept or reject an already-processed or timed-out order triggers an unrecoverable system error. Order events must be queried via polling endpoints, while access tokens expire on a rigid 7-day schedule, requiring continuous automated credential refresh cycles across thousands of merchant systems. When allies reject orders due to SKU mismatches, pricing discrepancies, or missing toppings, fulfillment cycles break down and degrade consumer retention. From an engineering and organizational perspective, historical reflections from technical leadership describe scaling challenges where engineering teams of over 140 personnel across 15 squads must navigate carryover, velocity bottlenecks, and infrastructure reliability without silver-bullet solutions. The continuous need to balance rapid time-to-market against platform stability creates ongoing vulnerability to merchant dissatisfaction, customer churn, and operational outages across peak operating windows.[CR006, CR007, CR008, CR010, CR011]

7.3 Partner Concentration and Platform Dependencies

Rappi's asset-light super-app model relies heavily on strategic counterparties across financial underwriting, cloud infrastructure, and enterprise data analytics. In financial services, the dissolution and sale of Rappi's 44.28% stake in RappiCard Mexico to Banorte for US$50 million transforms Rappi from an equity owner with co-governance rights into an exclusive origination channel subject to a 15-year commercial agreement. This structure concentrates Mexican credit origination around a single banking partner, leaving Rappi vulnerable to adverse counterparty decisions or changes in banking appetite. On the infrastructure tier, Rappi's high-throughput transactional backbone is hosted on Amazon Web Services (AWS), utilizing services such as Amazon DocumentDB, Amazon EC2, Amazon RDS, and Amazon ECS across multiple regional deployments. Any degradation in AWS regional availability directly threatens order routing and real-time courier dispatch. Similarly, on the software and supply chain execution layer, modern automated replenishment frameworks demonstrate that autonomous planning and ordering systems risk failure from stale evidence in replan loops, residual lead-time mismatches, and supplier API disconnects. Incomplete supplier visibility or delayed feedback requires deterministic verification gates and human escalation paths to prevent costly procurement errors. If cloud infrastructure or merchant integration pipelines fail, Rappi bears substantial residual financial and operational exposure.[CR003, CR004, CR012, CR013, CR014, CR015]

7.4 Exhibits

8.1 Investment Thesis, Stance, and Recommendation Framework

Rappi represents Latin America's primary multi-vertical super-app, integrating restaurant delivery, quick-commerce groceries via dark stores and its Amazon Now partnership, and proprietary fintech offerings including RappiPay and partner credit cards across nine regional markets. The bull case rests on high urban density, compounding multi-category cross-selling where mature cohorts transact up to 11 times per month, and structural delivery cost efficiencies of approximately 10% of GMV using bike and motorcycle fleets compared to 14–32% for developed-market peers. However, the investment recommendation is constrained to 'track' with medium confidence and a high risk rating, reflecting a 'stretched' valuation stance relative to unverified private revenue and liquidation preference overhang. While private equity rounds benchmarked the company at $5.25B following its July 2021 Series F financing led by T. Rowe Price and subsequent $25M extension from Amazon in September 2025, secondary trading signals and marketplace comparables imply a stark valuation haircut of 60% to 68%, trading between $1.7B and $2.0B. Entry at or near the last preferred headline price carries severe downside risk because earlier investors hold substantial senior liquidation preferences from $2.46B in total financing rounds, including $357M in debt facilities. In the absence of an SEC S-1 registration statement or audited parent-level consolidated P&L statements for FY2024–FY2025, underwriting equity exposure on unverified management figures would violate fundamental margin-of-safety principles. [CV001, CV002, CV003, CV004, CV005, CV006]

8.2 Capitalization Structure, Secondary Marks, and Entry Discipline

Rappi has raised $2.46B across 15 funding rounds, encompassing two seed rounds, three early-stage equity rounds, seven late-stage equity rounds, and three conventional debt facilities. Institutional equity backers include SoftBank ($1B Series E lead in April 2019), DST Global ($220M Series D lead in September 2018), Delivery Hero ($185M Series C lead in April 2018), Andreessen Horowitz, Sequoia Capital, and T. Rowe Price ($500M Series F lead in July 2021 at a $5.25B post-money valuation). In August 2025, Rappi secured a $100M 4-year senior secured credit facility from Banco Santander and Kirkoswald Capital Partners for refinancing and working capital, following prior debt facilities of $145M in March 2022 and $112M in October 2022. Secondary marketplace data from Nasdaq Private Market (NPM) and private market estimates indicate indicative transaction prices around $19.83–$19.89 per share as of September 2026, implying an enterprise equity valuation of approximately $1.7B to $2.0B. This represents a 62% to 68% compression from the $5.25B preferred headline mark. Because preference stacks typically guarantee 1x non-participating or participating return of capital to Series E and F investors before common or secondary equity participates, secondary buyers face total loss or severe subordination if an eventual public listing or trade sale clears below $2.5B. Strict entry discipline dictates avoiding primary commitments above 2.0x trailing GMV or unverified net revenue, and demanding full cap-table waterfall visibility. [CV001, CV005, CV007, CV008, CV009, CV010, CV011]

8.3 Scenario Analysis, Peer Multiples, and Diligence Verification

Valuation scenarios model three distinct operational trajectories over a 24-month horizon through late 2028. The Bull case (25% probability) assumes successful execution of the Amazon Now grocery logistics rollout in Mexico and Brazil, scaling high-margin retail media advertising (RappiAds) to exceed 15% of net revenues, sustained positive EBITDA exceeding $100M annually, and a successful US IPO at 3.0x net revenue ($2.8B–$3.5B enterprise value). The Base case (50% probability) anticipates moderate regional growth, continuing margin pressure from iFood in Brazil where Rappi committed R$1.4B through 2028, and a delayed public offering or down-round crossover round at 1.5x–2.0x net revenue ($1.6B–$2.1B enterprise value), aligning closely with current secondary trading marks. The Bear case (25% probability) reflects intensifying competitive retaliation from incumbent delivery operators, foreign exchange volatility across Latin American currencies, losses in Brazilian expansion, and fintech asset impairment. In this downside scenario, enterprise value compresses below $1.0B, wiping out common share equity value and junior preferred tranches beneath the senior debt and preferred liquidation stack. Diligence verification must prioritize obtaining audited parent entity financial statements, reviewing the Banorte $50M carve-out terms for RappiCard Mexico, inspecting RappiPay Colombia regulatory balance sheets, and confirming exact debt covenant compliance under the $100M Santander facility. [CV002, CV003, CV004, CV006, CV012, CV013, CV014, CV015]

8.4 Exhibits