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Chongqing Lummy Pharmaceutical Full Year 2024 Earnings: CN¥0.083 loss per share (vs CN¥0.008 loss in FY 2023)
Chongqing Lummy Pharmaceutical (SZSE:300006) Full Year 2024 Results
Key Financial Results
- Revenue: CN¥795.6m (down 11% from FY 2023).
- Net loss: CN¥87.8m (loss widened by CN¥78.9m from FY 2023).
- CN¥0.083 loss per share (further deteriorated from CN¥0.008 loss in FY 2023).
All figures shown in the chart above are for the trailing 12 month (TTM) period
Chongqing Lummy Pharmaceutical shares are down 1.6% from a week ago.
Risk Analysis
You still need to take note of risks, for example - Chongqing Lummy Pharmaceutical has 1 warning sign we think you should be aware of.
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This article by Simply Wall St is general in nature. We provide commentary based on historical data and analyst forecasts only using an unbiased methodology and our articles are not intended to be financial advice. It does not constitute a recommendation to buy or sell any stock, and does not take account of your objectives, or your financial situation. We aim to bring you long-term focused analysis driven by fundamental data. Note that our analysis may not factor in the latest price-sensitive company announcements or qualitative material. Simply Wall St has no position in any stocks mentioned.
About SZSE:300006
Chongqing Lummy Pharmaceutical
Engages in the research and development, manufacture, and sale of pharmaceutical products in China.
Flawless balance sheet with weak fundamentals.
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Interesting analysis, but the price trajectory assumed for the baseline metals is problematic. These assumptions form the foundation for the entire case, and when compared against historical pricing, don’t appear to be grounded in any reasonable precedent. Even accounting for past commodity super-cycles, inflationary periods, or supply constraints, the forecasted pricing for gold, silver, zinc, and lead are well outside what history would suggest is plausible over comparable timeframes. That creates a fragile premise as the conclusions are driven by aggressive inputs rather than underlying market behavior that is realistic. The analysis would be materially stronger if the price assumptions were anchored to historical ranges and prior cycle peaks, with explicit rationale where the model intentionally departs from those patterns. As it stands, the trajectory feels more aspirational than analytical.
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