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Jun 30, 2024
IAS Q2 2024 Earnings Report
Reported double-digit revenue growth across all businesses, driven by strong customer adoption of AI-backed products. Raised full year financial guidance due to positive second quarter results and a strong second half outlook.
Key Takeaways
IAS reported a 14% increase in total revenue to $129.0 million for the second quarter of 2024. Net income was $7.7 million, representing a 6% margin. The company is raising its full-year financial guidance.
Total revenue increased by 14% to $129.0 million compared to the prior-year period.
Measurement revenue grew by 17%, with a 34% increase in social media revenue.
Optimization revenue increased by 11% compared to the prior-year period.
Adjusted EBITDA increased to $46.2 million, a 24% increase compared to the prior-year period, representing a 36% margin.
Revenue by Segment
Revenue by Geographic Location
Forward Guidance
IAS is providing the following financial outlook for the third quarter of 2024 and increasing its full year 2024 revenue and adjusted EBITDA outlook.
Positive Outlook
- Total revenue of $137 million to $139 million for Q3 2024.
- Adjusted EBITDA of $48 million to $50 million for Q3 2024.
- Total revenue of $538 million to $544 million for the year ending December 31, 2024.
- Adjusted EBITDA of $180 million to $184 million for the year ending December 31, 2024.
- Stock-based compensation expense for the third quarter of 2024 is expected to be in the range of $16 million to $17 million.
Challenges Ahead
- IAS is unable to provide a reconciliation for forward-looking guidance of adjusted EBITDA and corresponding margin to net income (loss).
- Certain material reconciling items, such as depreciation and amortization, interest expense, income tax expense (benefit) and acquisition, restructuring and integration expenses, cannot be estimated due to factors outside of IAS's control.
Revenue & Expenses
Visualization of income flow from segment revenue to net income
Historical Earnings Impact
Analyze how earnings announcements historically affect stock price performance
Avg. Return Before/After Earnings
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