GTM (GTM)

Market Cap
P/E Ratio
Beta
Dividend Yield
Piotroski 7/9Beneish M -2.77 Clean

Quantitative Summary

Deterministic

Strong operational fundamentals (Piotroski 7/9).

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

DCF Sandbox

Interactive

Sensitivity Matrix

TG ↓ / WACC →8%10%12%
2%$18$13$10
3%$22$15$11
4%$27$17$12

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

Pre-computed DCF: WACC=10.0%, terminal growth 3%. Fair value $15 (+0.0%). Not investment advice.

Price Chart with Moving Averages

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SMA 50 SMA 200

Quant Health Deep Dive

7/9
Piotroski F-Score
Strong — high operational efficiency and profitability signals
-2.77
Beneish M-Score
Below threshold — no statistical earnings quality concern per Beneish model. Threshold: <-2.22 = below threshold.

Profitability & Value Creation

84.0%
Gross Margin
9.9%
Net Margin
3.2%
ROIC
+2.9%
Revenue Growth (YoY)
+326.8%
Earnings Growth (YoY)
388.8M
Free Cash Flow

Balance Sheet Health

3.27x
Debt / Equity
0.72x
Current Ratio
5.6x
Interest Coverage
3.5x
Net Debt / EBITDA
325.7M
EBITDA

Earnings Surprise History

Q4
✓ Beat
Est: $0.22
Act: $0.23
+4.2%
Q3
✓ Beat
Est: $0.23
Act: $0.25
+8.5%
Q2
✓ Beat
Est: $0.26
Act: $0.28
+9.5%
Q1
✓ Beat
Est: $0.28
Act: $0.32
+13.5%

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
$20M
Tracked Passive Exposure
7
ETFs Holding GTM
0.05%
Avg Weight in ETFs
$40B
Total ETF AUM

When investors buy or sell ETFs like VFVA or VOX, the fund manager is mechanically forced to buy or sell GTM shares regardless of GTM's individual fundamentals. We estimate $20M of passive capital is structurally linked to GTM through 7 tracked ETFs. Passive flows have a limited but growing influence on GTM's daily trading dynamics.

Passive exposure = Σ (ETF AUM × stock weight in ETF) across 7 tracked ETFs. Actual passive ownership is larger (includes mutual funds). Not investment advice.

ETF Contagion Visualizer

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

GTM Shock
-0%
Est. Passive Redemption
$0
Systemic Risk
STABLE
GTMEpicenterSPSMETFSPTMETFVOXETFMETALow RiskGOOGLLow RiskGOOGLow RiskNFLXLow RiskVZHigh Risk
GTM Price Drop (%)0

If GTM (GTM) experiences a significant drawdown, ETF redemptions can create collateral selling pressure on co-held stocks. Our model identifies Facebook Inc. Class A (META) as the most exposed collateral stock, sharing 1 ETFs with GTM. This is the "Passive Contagion" effect described in the Inelastic Market Hypothesis.

Contagion model based on shared ETF exposure and constituent weights across 7 tracked ETFs. Estimated selling pressure is a simplified model — actual impact depends on market liquidity, ETF redemption mechanics, and market-maker activity.

GTM Ownership Dynamics

Ticker
GTM

Float lock-up computed from 7 ETFs tracked by SecuritiesDB. Actual passive ownership is higher (includes mutual funds, pension funds, etc.).

GTM Capital Efficiency

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

Free Cash Flow
$389M
EBITDA
$326M
FCF Conversion
119%
Reinvestment Rate
-19%
119% of EBITDA → Free Cash
0% (cash burn)25% (low)50% (efficient)100% (pure cash)

GTM converts 119% of its EBITDA into free cash flow, an exceptional conversion rate indicating an asset-light business model with minimal capital reinvestment drag.

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
2026-05-14236,827$3.96$937,834.92
2026-05-0155,863$6.25$349,143.75
2026-04-103,100$5.40$16,740
2026-03-3142,845$5.97$255,784.65
2026-03-30279,969$5.72$1.6M
2026-03-2386,860$5.91$513,342.6
2026-03-1829,983$5.86$175,700.38
2026-03-06320$6.59$2,108.8
2026-03-04270$6.23$1,682.1
2026-03-0279,631$6.21$494,508.51
2026-02-193,827$6.60$25,258.2
2026-02-12183,427$6.56$1.2M
2026-02-1114,724$6.63$97,620.12
2026-02-0952,342$7.31$382,620.02
2026-02-0649,600$6.78$336,288
2026-02-04611,477$6.92$4.2M
2026-02-0314,000$7.81$109,340
2026-01-3014,000$8.19$114,660
2026-01-23119,585$9.12$1.1M
2026-01-226,392$8.76$55,993.92
2026-01-2177$8.79$676.83
2026-01-0638,098$10.24$390,123.52
2025-12-22298$10.27$3,060.46
2025-12-12462$9.96$4,601.52
2025-12-1116$10.13$162.08
2025-12-0514,131$9.91$140,038.21
2025-12-037,529$10.11$76,118.19
2025-11-0495$11.80$1,121

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 GTM 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.