Quisitive Technology Solutions, Inc.

Quisitive reported Q3 2024 revenue of $30.7 million for Global Cloud Solutions, compared with $29.6 million in Q2 and roughly unchanged versus Q3 2023. Gross margin was $13.2 million, or 42.9% of revenue, identical to last year and up from $12.5 million sequentially. Adjusted EBITDA for continuing operations was $4.2 million, versus $3.9 million in Q2 and $4.9 million in Q3 2023. Recurring revenue was 40.4%, up from 37.2% a year ago. Cash on hand was $9.7 million, term loans were $32.3 million, and pro forma leverage was approximately 1.9x; weighted average interest rate was 7.79%. Capex was $0.9 million in Q3 and is expected to be about $3 million for 2024. For fiscal 2024, management updated guidance to revenue of $119 million to $121 million and pro forma adjusted EBITDA of $15 million to $16 million.

Mike Reinhart framed the quarter as one of steady stabilization and modest growth, emphasizing that gross margins remained above 40% and recurring revenue stayed strong. He spent most of his commentary on AI, saying Quisitive had over 200 AI opportunities in the pipeline, roughly one-third in state and local government, and that the company is seeing early-stage customer interest convert into workshops, assessments, and proof-of-concepts. His tone was constructive and confident, but he repeatedly noted Q4 seasonality and fewer billable days will pressure near-term revenue growth.

Scott Meriwether highlighted sequential improvement but largely stable year-over-year financials: revenue of $30.7 million, gross margin of $13.2 million at 42.9%, and adjusted EBITDA of $4.2 million. He noted the balance sheet had $9.7 million in cash, $32.3 million of term loans after an $850,000 quarterly payment, and leverage of about 1.9x, with a 7.79% weighted average interest rate. He also said capex was $0.9 million in Q3, expects about $3 million for 2024, and raised full-year guidance to $119 million-$121 million of revenue and $15 million-$16 million of pro forma adjusted EBITDA.

Analysts focused on whether macro conditions were improving, the ramp timing for the expanded AI Black Belt team, the size and quality of the AI pipeline, and whether current proof-of-concepts would convert into revenue later in 2025. Management said customers are still early in AI adoption, but they are prioritizing readiness, security, and data work, and that the new AI team should begin contributing through Q1 and show impact in Q2 and beyond. They also said the AI opportunity is being supported by Microsoft’s ecosystem, but conversion will depend on customer readiness and budget shifts into 2025 rather than immediate large-scale deployments.