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

The earnings call reveals declining net sales, increased net loss, and high interest expenses, with slight improvements in operating loss and gross margins. The Q&A highlights concerns about the impact of price increases, legal settlements, and high mortgage rates. Despite some positive trends in specific segments, the overall sentiment remains negative due to financial challenges and uncertainties in market conditions.
The earnings call presents a negative outlook due to declining sales, increased net losses, and reduced gross profit margins. Although cost-cutting measures and inventory reductions are positive, the company's refusal to provide clear guidance on tariff impacts and inventory projections signals uncertainty. The new credit facility's minimum EBITDA thresholds pose additional risks, and the workforce reduction reflects ongoing struggles. The lack of a market cap suggests potential volatility, but overall, the financial and strategic challenges outweigh the positives, likely leading to a stock price decline in the short term.
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.