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Access earnings results, analyst expectations, report, slides, earnings call, and transcript.
The earnings call presents a mixed outlook. While there is positive feedback on product development and strong growth in the Asian EV market, financial metrics show increased losses and reduced cash balance. The cautious stance on global trade and unclear details on partnerships may concern investors. However, optimistic guidance on product launches and margin improvement efforts balance the sentiment. Without a market cap, it's challenging to gauge stock sensitivity, but overall, the mixed signals suggest a neutral stock price movement in the short term.
The earnings call summary shows revenue growth, improved net loss, and strategic partnerships in progress. Despite some financial challenges, the Q&A reveals proactive measures to improve margins and expand into new markets. The optimistic guidance, strategic investments, and strong bookings growth suggest a positive stock price movement, likely within the 2% to 8% range.
The earnings call highlights several challenges: a significant decline in Asian revenue, supply chain issues, economic headwinds, and competitive pressures. The lack of a share buyback program and unclear guidance on expense reductions further dampen sentiment. Despite some positive financial metrics, such as improved revenue and reduced losses, the overall outlook remains negative due to ongoing uncertainties and management's vague responses during the Q&A session.
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.