GGB (GGB)

Market Cap
P/E Ratio
Beta
Dividend Yield
Piotroski 5/9Beneish M -2.83 Clean

Quantitative Summary

Deterministic

Financial health is average: Piotroski 5/9.

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

DCF Sandbox

Interactive

Sensitivity Matrix

TG ↓ / WACC →8%10%12%
2%$3$2$1
3%$4$2$1
4%$6$3$1

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

Pre-computed DCF: WACC=10.0%, terminal growth 3%. Fair value $2 (+0.0%). Not investment advice.

Price Chart with Moving Averages

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SMA 50 SMA 200

Quant Health Deep Dive

5/9
Piotroski F-Score
Average — mixed operational signals
-2.83
Beneish M-Score
Below threshold — no statistical earnings quality concern per Beneish model. Threshold: <-2.22 = below threshold.

Profitability & Value Creation

11.4%
Gross Margin
2.0%
Net Margin
4.3%
ROIC
+4.2%
Revenue Growth (YoY)
-69.6%
Earnings Growth (YoY)
1.1B
Free Cash Flow
113%
FCF Payout Ratio

⚠️ Dividend consumes >80% of FCF — sustainability risk.

Balance Sheet Health

0.52x
Debt / Equity
2.89x
Current Ratio
2.9x
Interest Coverage
1.0x
Net Debt / EBITDA
7.6B
EBITDA

Earnings Surprise History

Q4
✗ Miss
Est: $0.62
Act: $0.37
-40.7%
Q3
✗ Miss
Est: $0.51
Act: $0.42
-17.4%
Q2
✗ Miss
Est: $0.58
Act: $0.54
-7.0%
Q1
✗ Miss
Est: $0.45
Act: $0.34
-24.2%

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

Forward P/E
PEG Ratio
Price/Book
Avg Volume
52W High
52W Low
52W Range Position

Passive Flow Attribution

ETF Draft Effect
$14M
Tracked Passive Exposure
2
ETFs Holding GGB
0.08%
Avg Weight in ETFs
$18B
Total ETF AUM

When investors buy or sell ETFs like SPEM or CWI, the fund manager is mechanically forced to buy or sell GGB shares regardless of GGB's individual fundamentals. We estimate $14M of passive capital is structurally linked to GGB through 2 tracked ETFs. Passive flows have a limited but growing influence on GGB'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 GGB to visualize passive redemption contagion across ETFs and collateral stocks.

GGB Shock
-0%
Est. Passive Redemption
$0
Systemic Risk
STABLE
GGBEpicenterSPEMETFCWIETFTSMLow Risk700Unknown9988UnknownSMSNUnknown2454Unknown
GGB Price Drop (%)0

If GGB (GGB) experiences a significant drawdown, ETF redemptions can create collateral selling pressure on co-held stocks. Our model identifies TAIWAN SEMICONDUCTOR SP ADR (TSM) as the most exposed collateral stock, sharing 1 ETFs with GGB. 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.

GGB Ownership Dynamics

Ticker
GGB

ETFs with Highest GGB Exposure

Float lock-up computed from 2 ETFs tracked by SecuritiesDB. Actual passive ownership is higher (includes mutual funds, pension funds, etc.).

GGB Capital Efficiency

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

Free Cash Flow
$1.1B
EBITDA
$7.6B
FCF Conversion
15%
Reinvestment Rate
85%
15% of EBITDA → Free Cash
0% (cash burn)25% (low)50% (efficient)100% (pure cash)

GGB converts 15% of its EBITDA into free cash flow, a low conversion rate suggesting heavy reinvestment. This may indicate a growth phase (building capacity) or structural capital intensity. The 85% reinvestment rate signals aggressive capacity expansion.

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

Fails-to-Deliver (FTD) History

SEC-reported settlement failures. Elevated FTDs can indicate high short-selling pressure, operational settlement issues, or naked shorting activity.

DateFailed SharesClose PriceNotional Value
2026-05-13516,808$4.79$2.5M
2026-05-1151$4.85$247.35
2026-05-062,362$4.80$11,337.6
2026-04-30930$4.43$4,119.9
2026-04-274,993$4.31$21,519.83
2026-03-03228,948$3.98$911,213.04
2026-02-19103,649$4.12$427,033.88
2026-02-13111,543$4.24$472,942.32
2026-02-0210,000$4.27$42,700
2026-01-23177,117$4.39$777,543.63
2026-01-22130$4.27$555.1
2026-01-124$3.95$15.8
2026-01-07130$3.93$510.9
2025-12-3069,035$3.66$252,668.1
2025-12-229,973$3.65$36,401.45
2025-12-19105,250$3.69$388,372.5

Source: SEC Regulation SHO FTD data. Data is reported with a ~30 day delay. High FTD quantities relative to average daily volume may indicate settlement stress.

Compare GGB 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.