TwentyFour Select Monthly Income Fund Limited (SMIF.L) • LSE
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View key financial metrics including Revenue, Net Income, EPS, Free Cash Flow, EBITDA, and Total Assets. Access 2-year quarterly charts for Revenue & Income and Free Cash Flow trends.

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With an EPS of 0.10 and a PE ratio of 8.44, the fund appears modestly valued relative to its earnings, suggesting neither clear overvaluation nor deep distress based solely on these metrics. However, without detailed revenue, net income trends, or margin data, it is difficult to conclude that earnings quality or growth is strong. Overall, the valuation looks conservative, but the growth and profitability trajectory are not clearly signaled by the limited data.
The stock is trading at $84.40, up 1.4% over the last month, indicating a mild positive short-term trend. However, it remains below its 200-day moving average of $86.78, suggesting the longer-term trend is still slightly downward or at best recovering. An RSI of 57.63 indicates neither overbought nor oversold conditions, consistent with a consolidating or mildly constructive technical setup.
Estimated web traffic of 15,588 visitors per month indicates a modest but non-trivial level of investor or stakeholder interest, with no indication of a sharp surge or collapse. The fund currently has 0 job openings, unchanged month over month, which is typical for a closed-end or investment fund structure and does not signal expansion or contraction. Overall, alternative data does not currently point to a strong change in business momentum or investor engagement.
Taken together, valuation, technicals, and alternative data suggest a neutral outlook for TwentyFour Select Monthly Income Fund Limited at this time. The stock shows modest recent price strength but remains below its 200-day moving average, while its earnings-based valuation appears conservative without clear evidence of accelerating growth. Alternative data signals are stable rather than strongly positive or negative, reinforcing a wait-and-see stance.
Our AI Score rates companies on a scale from 0 to 10, based on alternative data points such as web traffic, app downloads, and job postings — combined with financial health indicators and technical signals.
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