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- NSEI:TAKE
TAKE Solutions First Half 2025 Earnings: ₹0.31 loss per share (vs ₹0.47 loss in 1H 2024)
TAKE Solutions (NSE:TAKE) First Half 2025 Results
Key Financial Results
- Net loss: ₹44.6m (loss narrowed by 35% from 1H 2024).
- ₹0.31 loss per share (improved from ₹0.47 loss in 1H 2024).
All figures shown in the chart above are for the trailing 12 month (TTM) period
TAKE Solutions shares are down 9.3% from a week ago.
Risk Analysis
It is worth noting though that we have found 2 warning signs for TAKE Solutions (1 is a bit unpleasant!) that you need to take into consideration.
Valuation is complex, but we're here to simplify it.
Discover if TAKE Solutions might be undervalued or overvalued with our detailed analysis, featuring fair value estimates, potential risks, dividends, insider trades, and its financial condition.
Access Free AnalysisHave 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 NSEI:TAKE
TAKE Solutions
Provides domain-intensive services in life sciences and software and information technology in India.
Excellent balance sheet with acceptable track record.
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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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