SIE.DE (SIE.DE)

$159.2B
Market Cap
20.8
P/E Ratio
1.14
Beta
2.53%
Dividend Yield
Piotroski 6/9Altman Z 2.2 Gray ZoneROIC−WACC -1.9%

Quantitative Summary

Deterministic

Financial health is average: Piotroski 6/9, Altman Z 2.2.

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

Algorithmic Teardown

AI-Generated

The capital allocation efficiency presents a notable constraint, as the return on invested capital of 8.3% falls below the weighted average cost of capital at 10.2%, resulting in a negative spread that erodes intrinsic value over time despite a robust DuPont ROE decomposition driven primarily by high net margins of 12.2%. While profitability is supported by strong gross margins near 38.5%, asset turnover remains modest at 0.47x, indicating limited operational velocity relative to the equity multiplier leverage of 2.43x that sustains the reported ROE of 14.1%. Financial stability metrics offer a mixed signal; the Piotroski F-Score of 6/9 suggests solid fundamental strength with minor deterioration risks, yet the Altman Z-Score of 2.2 places the entity in the "gray zone" between safety and distress, warranting close monitoring of liquidity buffers against potential downturns.

Valuation metrics currently reflect a premium relative to historical norms and sector peers, anchored by a price-to-earnings ratio of 20.8x which likely prices in sustained growth expectations not fully aligned with the current revenue expansion rate of merely 3.9% year-over-year. This disparity suggests the market may be overestimating future earnings momentum given the stagnant top-line trajectory and inefficient capital deployment evidenced by the negative ROIC-WACC spread. The DCF model calculates a fair value of $231, implying that at current trading levels, investors are demanding a growth rate significantly higher than what recent financial performance supports, creating a potential mean reversion risk if macroeconomic headwinds further suppress margin expansion or asset utilization efficiency.

Risk assessment highlights a divergence between profitability and cash generation quality, where the negative capital spread acts as a drag on long-term shareholder returns even as leverage maintains earnings per share growth. The combination of moderate insider activity signals (if any were present) alongside the specific Fama-French alpha characteristics inherent in this high-margin, low-turnover profile suggests the stock behaves more like a value trap than a compounder under current conditions. Investors must weigh whether the 12.2% net margin can expand sufficiently to offset the capital inefficiency before the valuation multiple compresses toward fundamental realities dictated by the sub-capital-return environment.

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

DCF Sandbox

Interactive

Sensitivity Matrix

TG ↓ / WACC →8.2%10.2%12.2%
2%$286$205$156
3%$337$231$171
4%$413$265$190

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

Pre-computed DCF: WACC=10.2%, terminal growth 3%. Fair value $231 (+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
2.2
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

38.5%
Gross Margin
12.2%
Net Margin
8.3%
ROIC
10.2%
WACC
ROIC − WACC Spread: -1.9%— Negative spread.
+3.9%
Revenue Growth (YoY)
+15.9%
Earnings Growth (YoY)
10.8B
Free Cash Flow
38%
FCF Payout Ratio

✅ Conservative payout — room for dividend increases.

DuPont Analysis — ROE Decomposition

Breaking down Return on Equity to see how the company generates its ROE — efficiency, margins, or leverage.

12.2%
Net Profit Margin
NI ÷ Revenue
×
0.47x
Asset Turnover
Revenue ÷ Assets
×
2.43x
Equity Multiplier
Assets ÷ Equity
=
14.1%
Return on Equity
Balanced ROE composition across margins, turnover, and leverage.

Balance Sheet Health

1.43x
Debt / Equity
1.37x
Current Ratio
7.6x
Interest Coverage
1.8x
Net Debt / EBITDA
5.78%
FCF Yield
15.9B
EBITDA

Earnings Surprise History

Q4
✓ Beat
Est: $2.49
Act: $3.00
+20.5%
Q3
✓ Beat
Est: $2.41
Act: $2.78
+15.5%
Q2
✗ Miss
Est: $2.63
Act: $2.30
-12.5%
Q1
✓ Beat
Est: $2.22
Act: $2.80
+26.0%

EPS estimates vs actuals for the most recent reported quarters. Source: yfinance.

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

16.2
Forward P/E
PEG Ratio
2.49
Price/Book
1M
Avg Volume
$275.75
52W High
$162.38
52W Low
52W Range Position

Passive Flow Attribution

ETF Draft Effect
$430M
Tracked Passive Exposure
2
ETFs Holding SIE.DE
4.11%
Avg Weight in ETFs
$10B
Total ETF AUM

When investors buy or sell ETFs like EWG or EZU, the fund manager is mechanically forced to buy or sell SIE.DE shares regardless of SIE.DE's individual fundamentals. We estimate $430M of passive capital is structurally linked to SIE.DE through 2 tracked ETFs. Passive flows have a limited but growing influence on SIE.DE's daily trading dynamics.

Passive exposure = Σ (ETF AUM × stock weight in ETF) across 2 tracked ETFs. Actual passive ownership is larger (includes mutual funds). Not investment advice.

ETF Contagion Visualizer

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

SIE.DE Shock
-0%
Est. Passive Redemption
$0
Systemic Risk
STABLE
SIE.DEEpicenterEZUETFEWGETFSAP.DELow RiskALV.DEHigh RiskENR.DEMed RiskASML.ASLow RiskDTE.DEHigh Risk
SIE.DE Price Drop (%)0

If SIE.DE (SIE.DE) experiences a significant drawdown, ETF redemptions can create collateral selling pressure on co-held stocks. Our model identifies SAP SE (SAP.DE) as the most exposed collateral stock, sharing 2 ETFs with SIE.DE. This is the "Passive Contagion" effect described in the Inelastic Market Hypothesis.

Contagion model based on shared ETF exposure and constituent weights across 2 tracked ETFs. Estimated selling pressure is a simplified model — actual impact depends on market liquidity, ETF redemption mechanics, and market-maker activity.

SIE.DE Ownership Dynamics

Ticker
SIE.DE

ETFs with Highest SIE.DE Exposure

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

SIE.DE Capital Efficiency

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

Free Cash Flow
$10.8B
EBITDA
$15.9B
FCF Conversion
68%
Reinvestment Rate
32%
68% of EBITDA → Free Cash
0% (cash burn)25% (low)50% (efficient)100% (pure cash)
ROIC
8.3%
ROIC − WACC Spread
-1.9%

SIE.DE converts 68% 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 (-1.9%), 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 SIE.DE 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.