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- TSE:1963
JGC Holdings Third Quarter 2025 Earnings: JP¥69.27 loss per share (vs JP¥8.14 loss in 3Q 2024)
JGC Holdings (TSE:1963) Third Quarter 2025 Results
Key Financial Results
- Revenue: JP¥197.4b (flat on 3Q 2024).
- Net loss: JP¥16.7b (loss widened by JP¥14.8b from 3Q 2024).
- JP¥69.27 loss per share (further deteriorated from JP¥8.14 loss in 3Q 2024).
All figures shown in the chart above are for the trailing 12 month (TTM) period
JGC Holdings Earnings Insights
Looking ahead, revenue is forecast to stay flat during the next 3 years compared to a 2.3% growth forecast for the Construction industry in Japan.
Performance of the Japanese Construction industry.
The company's shares are down 11% from a week ago.
Risk Analysis
It's still necessary to consider the ever-present spectre of investment risk. We've identified 2 warning signs with JGC Holdings, and understanding them should be part of your investment process.
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Have feedback on this article? Concerned about the content? Get in touch with us directly. Alternatively, email editorial-team (at) simplywallst.com.
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 TSE:1963
JGC Holdings
Provides engineering, procurement, and construction services.
Adequate balance sheet and fair value.
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Trending Discussion
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StevenM on Excellon Resources ·
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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