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Access earnings results, analyst expectations, report, slides, earnings call, and transcript.
The earnings call presents mixed signals: strong revenue growth from milestone achievements but significant net losses and increased expenses. The absence of a shareholder return plan and management's unclear responses in the Q&A add uncertainty. However, the optimistic guidance on future clinical trials and potential market expansion balance the negatives. Given these factors, the stock is expected to remain stable in the short term, resulting in a neutral sentiment.
The earnings call reflects strong financial performance with a significant increase in revenue and net income, primarily due to milestone payments. The sale of MARGENZA rights and the anticipated upfront payment further strengthen the financial position. Although there are some risks, such as partnership and market risks, the overall sentiment is positive. Additionally, the Q&A session provided insights into ongoing projects and future expectations, with no major negative surprises. Therefore, the stock price is likely to experience a positive movement in the next two weeks.
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.