1299.HK (1299.HK)

$889.0B
Market Cap
18.4
P/E Ratio
0.73
Beta
2.25%
Dividend Yield
Piotroski 6/9Altman Z 2.1 Gray ZoneROIC−WACC -7.4%

Quantitative Summary

Deterministic

Financial health is average: Piotroski 6/9, Altman Z 2.1.

Generated deterministically from quant metrics and financial statements. Not a recommendation.

Algorithmic Teardown

AI-Generated

The fundamental economics reveal a significant capital allocation inefficiency where the return on invested capital of 1.9% falls substantially below the weighted average cost of capital at 9.3%, resulting in a negative spread of -7.4%. This erosion of value creation is stark despite strong top-line momentum, as revenue growth accelerates to 26.7% year-over-year while maintaining healthy net margins of 15.7%. The DuPont decomposition suggests that earnings power is being diluted by the inability to generate returns exceeding the cost of debt and equity; however, operational resilience remains evident with a Piotroski F-Score of 6/9, indicating robust financial health relative to peers. Conversely, solvency metrics present cautionary signals, as an Altman Z-Score of 2.1 places the entity in the grey zone between safety and distress, suggesting that aggressive leverage or declining asset values could threaten long-term stability despite current profitability.

Valuation dynamics appear misaligned with underlying capital destruction, given a forward P/E multiple of 18.4x which likely prices in sustained growth without fully accounting for the negative ROIC-WACC differential. A discounted cash flow analysis indicates an implied fair value of $21 per share, suggesting that current market pricing may be detached from intrinsic worth if future returns continue to lag behind the cost of capital. The market appears optimistic regarding revenue expansion and margin preservation, yet this optimism ignores the structural drag on shareholder value caused by inefficient reinvestment strategies.

Risk assessment highlights a precarious balance between operational strength and financial fragility; while the Piotroski score supports confidence in management's ability to navigate short-term headwinds, the Altman Z-Score introduces material downside risk regarding liquidity or bankruptcy under stress scenarios. The divergence between high growth rates and negative capital efficiency creates an asymmetric profile where upside is capped by persistent value destruction unless operational leverage improves significantly. Investors must weigh whether current multiples adequately compensate for the elevated probability of solvency issues against the potential for margin-led recovery in future quarters.

Generated by LLM from quantitative data inputs. May contain inaccuracies. Not investment advice.

DCF Sandbox

Interactive

Sensitivity Matrix

TG ↓ / WACC →7.3%9.3%11.3%
2%$26$19$14
3%$32$21$16
4%$41$25$17

Center = base case. Green = >10% upside, Red = >10% downside vs .

Pre-computed DCF: WACC=9.3%, terminal growth 3%. Fair value $21 (+0.0%). Not investment advice.

Price Chart with Moving Averages

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SMA 50 SMA 200

Quant Health Deep Dive

6/9
Piotroski F-Score
Average — mixed operational signals
2.1
Altman Z-Score
Grey Zone — between 1.8 and 3.0 thresholds. Thresholds: >3 safe, 1.8–3 grey, <1.8 distress.

Profitability & Value Creation

15.7%
Net Margin
1.9%
ROIC
9.3%
WACC
ROIC − WACC Spread: -7.4%— Negative spread.
+26.7%
Revenue Growth (YoY)
-8.8%
Earnings Growth (YoY)
6.7B
Free Cash Flow
36%
FCF Payout Ratio

✅ Conservative payout — room for dividend increases.

Balance Sheet Health

6.92x
Debt / Equity
12.3x
Interest Coverage
0.7x
Net Debt / EBITDA
0.75%
FCF Yield
8.1B
EBITDA

Underwater (Drawdown from Peak)

How far below the all-time high the price has been over time. Deeper = more pain for holders.

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Rolling 60-Day Beta vs S&P 500 (VOO)

How the stock's sensitivity to market moves changes over time. β > 1 = more volatile than the market.

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Rolling Beta Market (β = 1.0)

Fundamentals

12.7
Forward P/E
PEG Ratio
2.63
Price/Book
27M
Avg Volume
$92.10
52W High
$48.60
52W Low
52W Range Position

ETF Contagion Visualizer

Simulate a price drop in 1299.HK to visualize passive redemption contagion across ETFs and collateral stocks.

1299.HK Shock
-0%
Est. Passive Redemption
$0
Systemic Risk
STABLE
1299.HKEpicenterEWHETF0388.HKHigh Risk0001.HKUnknown2388.HKHigh Risk0016.HKUnknown0669.HKLow Risk
1299.HK Price Drop (%)0

If 1299.HK (1299.HK) experiences a significant drawdown, ETF redemptions can create collateral selling pressure on co-held stocks. Our model identifies Hong Kong Exchanges and Clearing Ltd (0388.HK) as the most exposed collateral stock, sharing 1 ETFs with 1299.HK. This is the "Passive Contagion" effect described in the Inelastic Market Hypothesis.

Contagion model based on shared ETF exposure and constituent weights across 1 tracked ETFs. Estimated selling pressure is a simplified model — actual impact depends on market liquidity, ETF redemption mechanics, and market-maker activity.

1299.HK Ownership Dynamics

Ticker
1299.HK

ETFs with Highest 1299.HK Exposure

Float lock-up computed from 0 ETFs tracked by SecuritiesDB. Actual passive ownership is higher (includes mutual funds, pension funds, etc.).

1299.HK Capital Efficiency

How efficiently does 1299.HK convert operating profits into free cash? The FCF Conversion ratio measures the gap between accounting earnings and real cash generation.

Free Cash Flow
$6.7B
EBITDA
$8.1B
FCF Conversion
83%
Reinvestment Rate
17%
83% of EBITDA → Free Cash
0% (cash burn)25% (low)50% (efficient)100% (pure cash)
ROIC
1.9%
ROIC − WACC Spread
-7.4%

1299.HK converts 83% of its EBITDA into free cash flow, an exceptional conversion rate indicating an asset-light business model with minimal capital reinvestment drag. However, the ROIC-WACC spread is negative (-7.4%), suggesting reinvested capital is destroying shareholder value.

Capital efficiency = Free Cash Flow ÷ EBITDA. Reinvestment = (EBITDA − FCF) ÷ EBITDA. Metrics from latest annual filings. Not investment advice.

Compare 1299.HK to Peers

Quant metrics computed deterministically from financial statements and price data. Updated: N/A.

SecuritiesDB provides programmatic data aggregation for informational purposes only. None of the metrics, summaries, or algorithmic flags constitute a recommendation to buy or sell any security.