0177 (0177) Fair Value & Analysis

Industrials · Market cap HK$46.2B

0 0177 0177 · HK

PriceHK$9.17

Fair ValueHK$17.60

Upside+91.9%

Quality51/100

Evidence: Medium Range HK$12.32 – HK$22.88

Fair value as of: Jul 1, 2026

From 16 valuation models · updated today

Share price −7.9% over the past month.

Price vs Fair Value (12 months)

12‑month range HK$8.28 – HK$10.63 · fair‑value band HK$12.32 – HK$22.88 · the HK$9.17 price screens below the HK$17.60 fair value. As of Jul 1, 2026.

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Analysis

0177 (0177) currently trades at HK$9.17, while our model-based Fair Value estimate is HK$17.60 — implying the stock looks roughly 91.9% undervalued today. We read business quality at 51/100 (solid 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: medium) — always confirm before acting.

Over the trailing twelve months, 0177 generated revenue of HK$20.0B at a net margin of 23.7%. Revenue declined 5.3% year over year. It earns a return on equity of 9.2%. Net debt stands at HK$25.6B. Fundamentals as of Jul 1, 2026

Key figures & financial health

Revenue (TTM) HK$20.0B

Revenue growth (YoY) -5.3%

Net margin 23.7%

Return on equity 9.2%

Free cash flow −HK$865M FY2025

P/E ratio 8.4

More key figures

Operating margin 35.0%

EPS (TTM) HK$1.02

Dividend yield 5.1%

EPS growth (YoY) +12.8%

Net debt HK$25.6B FY2025

Figures from reported company fundamentals (EODHD) · as of Jul 1, 2026. TTM = trailing twelve months.

Revenue & earnings trend

FY2021 – FY2025 · reported fiscal years

0177 reported revenue of HK$20.3B in FY2025 versus HK$13.8B in FY2021, a compound +10.1%/yr. Reported net income was HK$4.6B in FY2025, compounding +1.8%/yr from FY2021.

Revenue +10.1%/yr

FY21 HK$13.8B

FY22 HK$13.3B

FY23 HK$15.2B

FY24 HK$23.2B

FY25 HK$20.3B

Net income +1.8%/yr

FY21 HK$4.3B

FY22 HK$3.7B

FY23 HK$4.4B

FY24 HK$4.9B

FY25 HK$4.6B

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Similar stocks

6 more Infrastructure Operations stocks, each showing price versus our Fair Value estimate (as of Jul 1, 2026).

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China Merchants Expressway Network & Technology Holdings 001965	¥9.50	¥7.25	-24%
Jiangsu Expressway Company 600377	¥11.93	¥20.23	+70%
Shandong Hi-speed Company 600350	¥10.07	¥8.68	-14%
Impulsora del Desarrollo y el Empleo en América Latina, S.A. IDEALB1	43.00 MXN	28.56 MXN	-34%
Promotora y Operadora de Infraestructura, S. A. B. de C. V. PUODY	$315.00	$744.49	+136%
Motiva Infraestrutura de Mobilidade S.A MOTV3	R$13.80	R$16.63	+21%

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Frequently asked questions

Is 0177 (0177) undervalued?

As of Jul 1, 2026, our model estimates a fair value of HK$17.60 versus a price of HK$9.17 — about +92% (undervalued). Model-based estimate, not financial advice.

What is the fair value of 0177?

Our model-based fair value for 0177 is HK$17.60 (as of Jul 1, 2026), built from audited fundamentals. The current price is HK$9.17.

What is the quality score of 0177?

0177 has a Quality Score of 51/100, measuring profitability, growth and balance-sheet strength from non-valuation factors.

What is the revenue of 0177 (0177)?

0177 reported trailing-twelve-month revenue of about HK$20.0B (latest available figure, as of Jul 1, 2026).

What is the net profit margin of 0177?

The net profit margin of 0177 is about 23.7%, meaning it keeps roughly 23.7% of revenue as net income. Based on the latest reported figures.

Does 0177 pay a dividend?

0177 currently shows a dividend yield of about 5.06% relative to its recent price (as of Jul 1, 2026).

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.