DocGo (DCGO) Morgan Stanley 22nd Annual Global Healthcare Conference summary
Event summary combining transcript, slides, and related documents.
Morgan Stanley 22nd Annual Global Healthcare Conference summary
21 Jan, 2026Business overview and growth
Operates 1,000 mobile units daily across 30 U.S. states and the U.K., with 7,000 clinicians serving hospitals, municipalities, and health plans.
2023 revenue guidance is $600–$650 million, with $65–$75 million in Adjusted EBITDA and increased cash flow guidance to $80–$90 million.
Q2 revenue reached $165 million, up 30% year-over-year, with $17.2 million in Adjusted EBITDA.
Mobile health constitutes 75% of business, focusing on in-home care and care gap closures for at-risk populations.
Medical transportation, about 25% of business, serves as an entry point for hospital partnerships and cross-selling.
Technology and operational efficiency
Proprietary tech platform optimizes clinician deployment, vehicle use, and patient scheduling for efficiency and profitability.
Integration with Epic and other EHRs enables seamless referrals and real-time tracking for partners and patients.
Unified tech stack and shared infrastructure across business lines drive economies of scale and operational synergies.
Vertically integrated with in-house clinicians, vehicles, pharmacy, and technology.
Seven years invested in building the tech stack, enabling high-quality, scalable, and profitable service delivery.
Market strategy and expansion
Expansion into new markets is driven by anchor customers, such as health plans or hospital systems requesting services in new regions.
Recent expansions include Connecticut, Dallas, and Northern California, with further scaling after initial entry.
RFP submissions have tripled, with a focus on multi-year, apolitical, tech-driven population health programs.
Sales cycles vary: 6–12 months for insurance, 3–6 months for medical transport, and variable for municipal contracts.
Growth pipeline is actively managed, with expected value assigned to each opportunity for forecasting.
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