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Republic Power Group (RPGL) Fair Value & Analysis

Technology · US · Market cap $2.5M

Price$2.08
Fair Value$4.39
Upside+111.1%
Quality95/100
Evidence: High Range $3.29 – $5.49

Fair value as of: Jun 25, 2026

Analysis

Republic Power Group (RPGL) currently trades at $2.08, while our model-based Fair Value estimate is $4.39 — implying the stock looks roughly 111.1% undervalued today. We read business quality at 95/100 (high quality), in the Technology sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: high) — always confirm before acting.

About the company

Republic Power Group Limited, through its subsidiary, Republic Power Pte Ltd., provides customized enterprise resource planning (ERP) software solutions, consulting and technical support services, and peripheral hardware to corporate clients and government agencies in Singapore and Malaysia. The company's ERP solutions include accounting, procurement, workflow automation capabilities, monitoring, and resources allocation, as well as planning surveillance and threat detection. It serves trading, logistics, and property management industries. The company was incorporated in 2015 and is headquartered in Singapore. Republic Power Group Limited operates as a subsidiary of True Sage International Limited.

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Frequently asked questions

Is Republic Power Group (RPGL) undervalued?
As of Jun 25, 2026, our model estimates a fair value of $4.39 versus a price of $2.08 — about +111% (undervalued). Model-based estimate, not financial advice.
What is the fair value of RPGL?
Our 21-model fair value for Republic Power Group is $4.39 (as of Jun 25, 2026), built from audited fundamentals. The current price is $2.08.
What is the quality score of RPGL?
Republic Power Group has a Quality Score of 95/100, measuring profitability, growth and balance-sheet strength from non-valuation factors.

How we calculate Fair Value

Each company is valued through a stack of independent intrinsic-value models (DCF variants, residual-income, multiples and more), blended into one family-balanced consensus and weighted by how much trustworthy data backs it. A separate quality layer scores the fundamentals. Every input is real reported data — nothing guessed.

Educational research only · not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.