Access earnings results, analyst expectations, report, slides, earnings call, and transcript.

The earnings call highlights strong revenue growth and improved cash burn, which are positive indicators. However, the need for additional funding, competitive pressures, and supply chain challenges present uncertainties. The Q&A reveals a cautious market environment and lack of specific guidance, which tempers optimism. The company's strategic initiatives and improved financial health are promising, but the absence of guidance and potential regulatory issues balance the outlook. Considering these factors, the stock price is likely to remain stable, leading to a neutral sentiment.
The earnings call highlights a decrease in revenue and specimen count, increased costs per specimen, and a significant cash burn. While there are operational improvements and a focus on new programs, the need for additional funding and financial challenges overshadow positives. The Q&A section reveals longer sales cycles and lost opportunities. Despite optimistic guidance for 2024, the current financial health and performance issues suggest a negative sentiment, likely leading to a stock price decline of -2% to -8%.
All transcripts are sourced directly from the official live webcast or the company’s official investor relations website. We use the exact words spoken during the call with no paraphrasing of the core discussion.
Full verbatim transcripts are typically published within 4–12 hours after the call ends. Same-day availability is guaranteed for all S&P 500 and most mid-cap companies.
No material content is ever changed or summarized in the “Full Transcript” section. We only correct obvious spoken typos (e.g., “um”, “ah”, repeated 10 times”, or clear misspoken ticker symbols) and add speaker names/titles for readability. Every substantive sentence remains 100% as spoken.
When audio quality is poor or multiple speakers talk over each other, we mark the section instead of guessing. This ensures complete accuracy rather than introducing potential errors.
They are generated by a specialized financial-language model trained exclusively on 15+ years of earnings transcripts. The model extracts financial figures, guidance, and tone with 97%+ accuracy and is regularly validated against human analysts. The full raw transcript always remains available for verification.