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Alyssa Lee

Alyssa Lee

Research Analyst at Barclays PLC

New York, NY, US

Alyssa Lee is an Analyst at Barclays Capital, Inc., having started her role in 2022 following her graduation from Cornell University the same year. Specializing in equity research, she focuses on detailed financial analysis and modeling, although specific companies or sectors she covers have not been publicly disclosed. As a recent entrant to the industry, there are currently no third-party performance rankings, published success rates, or notable investment track records attributed to her. Lee's credentials include an undergraduate degree from Cornell University attained in 2022, but information regarding professional securities licenses or FINRA registrations is not available at this time.

Alyssa Lee's questions to Alarm.com Holdings (ALRM) leadership

Question · Q2 2025

Alyssa Lee from Barclays, on for Saket Kalia, requested an update on customer retention rates for the quarter and the outlook for the second half of the year, including any differences between commercial and residential segments.

Answer

CFO Kevin Bradley reported that the consolidated retention rate was 94.1% in Q2, a slight decrease from Q1 but still at the high end of the historical range. He anticipates the rate will hover between 93.7% and 94% for the remainder of the year, with the housing market being the primary variable. The response did not provide a specific breakdown between commercial and residential retention.

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Alyssa Lee's questions to CCCS leadership

Question · Q4 2024

Alyssa Lee, on for Saket Kalia, asked about the margin differences between CCCS's emerging and established solutions and how that profile is expected to evolve in 2025.

Answer

CFO Brian Herb explained that the primary driver of 2025 margin pressure is the absorption of EvolutionIQ's moderate EBITDA loss. He noted that emerging solutions currently have a temporary drag on gross profit because they have not yet reached full revenue scale to offset depreciation costs. However, he stated that once at scale, the margin profile of emerging solutions is expected to be similar to that of established solutions.

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