Acquco Financial Model

• Acquires existing Amazon third-party brands across Home & Kitchen, Sports & Outdoor, Appliances, Home Decor, Office Products, Electronics, Arts & Crafts - mostly top-5 or top-10 rank categories.
• Applies a proprietary "growth playbook" post-acquisition: SEO/SEM rank improvement, new product launches, content/listing revamp, omnichannel expansion (retail), China-sourcing COGS reduction, and geographic expansion.
• Proprietary data science platform handles end-to-end ops: lead scoring (source), automated due diligence (acquire), real-time analytics and ML feedback loops (grow/scale).
• Closes acquisitions in under 30 days; negotiates deal structures with upside-sharing provisions.

• TAM: $450BN Global Amazon GMV (2020)
• SAM: $250BN US Amazon GMV (2020, excludes off-Amazon channels)
• Enterprise Value opportunity framing: $1.25TN–$2.25TN (assumes 25% EBITDA margins and platform multiple arbitrage)
• US E-Commerce penetration of retail sales: 16% in 2019A, accelerated to ~20% in 2020E (vs. pre-COVID estimate of 18%), projected 27–30% by 2023–2024E
• Amazon share of US E-Commerce: 26% CAGR from 22% (2013A) to 39% (2022E)

• Revenue = product sales GMV from owned Amazon brands (post-acquisition). Acquco owns and operates the brands; gross revenue flows through Amazon marketplace.
• Acquisition financing: Acquires brands using equity/debt capital raised ($165M+ in funding).
• Deal structure: upside-sharing provisions with sellers (earnout-style).
• Pricing / channels: Amazon marketplace is the primary channel; omnichannel and international expansion are post-acquisition growth vectors.
• Revenue is not SaaS or subscription; it is product-revenue P&L across a portfolio of brands. EBITDA margin is the primary profitability metric.

• Founded: 2020
• Total funding raised: >$165M
• Revenue: >$100M (organic, period not specified)
• Organic revenue growth (YoY): 80%
• Organic EBITDA growth (YoY): 205%
• Organic EBITDA margin: 25%
• Cash flow: Positive
• Employees: 50
• Key acquisitions: portfolio covers 7 Amazon categories, multiple top-5/top-10 ranked brands

• EBITDA margin (portfolio-level): 25% organic
• Acquisition multiples paid: "Attractive multiples" stated but no specific EV/EBITDA or revenue multiple disclosed.
• Post-acquisition margin expansion: implied by 205% EBITDA growth vs. 80% revenue growth - significant margin lift per brand post-acquisition.
• COGS structure: Supply chain optimization through China sourcing mentioned as lever; no gross margin figures disclosed.

• Competitive moat claims:
• Operators-first team: former Amazon PMs, brand builders, and AMZN-focused COOs.
• Proprietary growth playbooks developed from first-hand Amazon operating experience.
• Proprietary technology platform: ML-driven, end-to-end (lead scoring → brand management automation).
• Sourcing network / China manufacturing relationships (COO background).
• Speed of close: <30 days via automated due diligence.
• Market context: Amazon brand aggregator space was crowded (Thrasio, Perch, Heyday, etc.) but Acquco positions on tech + operating expertise, not just capital.

• Raunak Nirmal (CEO): Former Amazon PM; launched and exited multiple Amazon brands; created >$750M ARR for Amazon sellers.
• Wiley Zhang (COO): Former COO across 4 international Amazon-focused businesses; deep China/Asia supply chain and manufacturing relationships.
• Jerel Ho (CSO): Former VP at Guggenheim Partners & Citigroup; led >$40BN M&A and capital raising transactions; founding member of $1BN PE fund.
• Christine Cui (Director, Brand Mgmt): Former e-commerce leadership at Walmart, Jet.com, Target; 2x growth track record.
• Paul Li (VP Data & Analytics): Former global data science lead at Microsoft; patent owner of Windows Intelligent Services Engine.
• Total funding raised: >$165M. Specific round, investors, or use-of-funds breakdown: Not in deck.

• Archetype + why: Amazon Brand Aggregator Portfolio P&L + Deal-Level IRR / M&A Roll-Up Model. This is an operating M&A roll-up: a portfolio of product-revenue businesses acquired over time, each generating Amazon GMV → Net Revenue → Gross Profit → EBITDA. The model must track (a) acquisition cadence and deal economics (purchase price, EV/EBITDA multiple, deal structure), (b) organic growth per brand post-acquisition, and (c) consolidated P&L across the portfolio. Not a standard 3-statement SaaS model.

• Forecast horizon & granularity: 5-year annual model (2021–2025 given founding in 2020); quarterly granularity for Year 1–2 optional. Monthly too granular without brand-level data; annual sufficient for portfolio-level roll-up.

• Key drivers & assumptions:

*Acquisition engine:*

• Number of brands acquired per year
• Average acquisition price per brand (EV)
• Acquisition multiple paid (EV/TTM EBITDA or EV/TTM Revenue)
• Capital allocation between debt and equity per deal

*Brand-level P&L (per cohort):*

• TTM Revenue at acquisition
• Organic revenue growth rate post-acquisition: 80% YoY - apply as Year 1 post-acq lift, then step down
• Gross margin
• EBITDA margin at acquisition
• EBITDA margin target post-integration: 25% organic
• Supply chain COGS reduction from China sourcing

*Portfolio / consolidated:*

• Consolidated Revenue: >$100M current run-rate
• Consolidated EBITDA Margin: 25% → ~$25M EBITDA implied
• Organic Revenue growth: 80% YoY
• Organic EBITDA growth: 205% YoY
• Headcount / OpEx: 50 employees; central G&A and tech costs
• Amazon fees (referral + FBA)
• Amazon market share growth: 26% CAGR - use as tailwind assumption for market-level growth

• Scenarios (Base / Bull / Bear - which variables flex):
• *Bull:* 10 acquisitions/yr, 90% organic rev growth maintained, margins expand to 30%, multiple arbitrage on exit at 12–15x EBITDA.
• *Base:* 6 acquisitions/yr, 80% organic rev growth (Year 1 post-acq), 25% EBITDA margin, exit at 8–10x EBITDA.
• *Bear:* 3 acquisitions/yr, revenue growth decelerates to 40% post-acq, margin compression to 18% (Amazon fee increases, supply chain disruption), exit multiple compresses to 5–6x EBITDA.
• Key flex variables: acquisition pace, blended EBITDA margin, Amazon platform risk (fee changes, listing suspensions), exit multiple.

• Required sheets / outputs:

1. Acquisition Pipeline - brand-by-brand entry log: acquisition date, TTM revenue, purchase price, EV/Revenue and EV/EBITDA multiples, deal structure (cash/earnout/note).
2. Brand Cohort P&L - revenue, COGS, gross profit, Amazon fees, EBITDA by acquisition cohort and year post-acquisition.
3. Consolidated Portfolio P&L - sum across all cohorts: Revenue, Gross Profit, EBITDA, EBITDA margin.
4. Cash Flow & Capital - acquisition capex cadence, debt/equity funding, cash generation from portfolio EBITDA vs. deployment.
5. Returns / IRR Analysis - deal-level and portfolio-level IRR, MOIC; exit value at assumed terminal multiple.
6. Market Context - US e-commerce penetration and Amazon GMV share as top-line backdrop (from deck data, slide 5).
7. Scenario / Sensitivity toggle - acquisition pace × post-acq growth rate × exit multiple.