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BingEx Limited (FLX) Fair Value & Analysis

Industrials · US · Market cap $160M

Price$2.18
Fair Value$4.73
Upside+117.0%
Quality95/100
Evidence: High Range $3.47 – $5.91

Fair value as of: Jun 25, 2026

Analysis

BingEx Limited (FLX) currently trades at $2.18, while our model-based Fair Value estimate is $4.73 — implying the stock looks roughly 117.0% undervalued today. We read business quality at 95/100 (high quality), in the Industrials 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

BingEx Limited, through its subsidiaries, provides on-demand dedicated courier services under the FlashEx brand name in the People's Republic of China. The company offers Flash-Riders as service who provides the courier services. It serves individual and business customers, including local merchants, small and medium sized enterprises, restaurants, and logistics players through its mobile platform and website. The company was incorporated in 2014 and is headquartered in Beijing, the People's Republic of China.

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Frequently asked questions

Is BingEx Limited (FLX) undervalued?
As of Jun 25, 2026, our model estimates a fair value of $4.73 versus a price of $2.18 — about +117% (undervalued). Model-based estimate, not financial advice.
What is the fair value of FLX?
Our 21-model fair value for BingEx Limited is $4.73 (as of Jun 25, 2026), built from audited fundamentals. The current price is $2.18.
What is the quality score of FLX?
BingEx Limited 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.