GTLS (GTLS)

$9.9B
Market Cap
626.7
P/E Ratio
1.75
Beta
Dividend Yield
Piotroski 5/9Altman Z 1.7 DistressBeneish M -2.46 CleanROIC−WACC -9.2%

Quantitative Summary

Deterministic

Financial health is average: Piotroski 5/9, Altman Z 1.7.

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

Algorithmic Teardown

AI-Generated

The capital allocation efficiency for GTLS is severely compromised, as evidenced by a negative ROIC-WACC spread of -9.2%, indicating that the company currently destroys value relative to its cost of equity. This fundamental weakness persists despite a Piotroski F-Score of 5/9 and a Beneish M-Score of -2.46 suggesting low earnings manipulation risk, while the Altman Z-Score of 1.7 flags potential distress in balance sheet solvency. The DuPont decomposition reveals a stark contrast between robust gross margins at 33.7% and negligible net profitability at just 0.9%, driven by minimal revenue growth of only 2.5% year-over-year, which fails to generate the leverage or turnover required to sustain shareholder returns.

Valuation metrics present extreme dissonance with underlying operational performance, as the current price-to-earnings ratio stands at an anomalous 626.7x compared to a DCF-derived fair value of $40 per share. This massive disparity implies that market pricing is detached from intrinsic value calculations based on projected cash flows and growth assumptions inherent in the discounted model. The elevated multiple suggests investors may be anticipating significant future earnings acceleration or qualitative catalysts not yet reflected in current financial statements, creating a scenario where price sensitivity to any downside revision would be magnified by the lack of near-term profit generation.

While specific risk factor deltas regarding Fama-French alpha or insider trading activity were not provided in the dataset to synthesize a precise risk-reward profile, the combination of negative economic spread and distressed Altman metrics introduces substantial downside volatility potential. The divergence between high gross margins and low net income further complicates the investment thesis, as cost structure inefficiencies continue to erode top-line gains without corresponding leverage improvements.

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

DCF Sandbox

Interactive

Sensitivity Matrix

TG ↓ / WACC →10.5%12.5%14.5%
2%$58$32$15
3%$72$40$20
4%$90$50$26

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

Pre-computed DCF: WACC=12.5%, terminal growth 3%. Fair value $40 (+0.0%). Not investment advice.

Price Chart with Moving Averages

Loading chart...
SMA 50 SMA 200

Quant Health Deep Dive

5/9
Piotroski F-Score
Average — mixed operational signals
1.7
Altman Z-Score
Distress Zone — below 1.8 threshold per academic model. Thresholds: >3 safe, 1.8–3 grey, <1.8 distress.
-2.46
Beneish M-Score
Below threshold — no statistical earnings quality concern per Beneish model. Threshold: <-2.22 = below threshold.

Profitability & Value Creation

33.7%
Gross Margin
0.9%
Net Margin
3.3%
ROIC
12.5%
WACC
ROIC − WACC Spread: -9.2%— Negative spread.
+2.5%
Revenue Growth (YoY)
-81.4%
Earnings Growth (YoY)
202.8M
Free Cash Flow
13%
FCF Payout Ratio

✅ Conservative payout — room for dividend increases.

Balance Sheet Health

1.91x
Debt / Equity
1.36x
Current Ratio
1.1x
Interest Coverage
5.3x
Net Debt / EBITDA
1.55%
FCF Yield
601.7M
EBITDA

Earnings Surprise History

Q4
✓ Beat
Est: $1.83
Act: $1.86
+1.8%
Q3
✓ Beat
Est: $2.51
Act: $2.59
+3.3%
Q2
✗ Miss
Est: $3.12
Act: $2.78
-10.8%
Q1
✗ Miss
Est: $3.01
Act: $2.51
-16.7%

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.

Loading drawdown chart...

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.

Loading beta chart...
Rolling Beta Market (β = 1.0)

Fundamentals

14.5
Forward P/E
PEG Ratio
3.06
Price/Book
1M
Avg Volume
$208.24
52W High
$104.60
52W Low
52W Range Position

Passive Flow Attribution

ETF Draft Effect
$582M
Tracked Passive Exposure
8
ETFs Holding GTLS
0.16%
Avg Weight in ETFs
$370B
Total ETF AUM

When investors buy or sell ETFs like MDYG or VBK, the fund manager is mechanically forced to buy or sell GTLS shares regardless of GTLS's individual fundamentals. We estimate $582M of passive capital is structurally linked to GTLS through 8 tracked ETFs. Passive flows have a limited but growing influence on GTLS's daily trading dynamics.

Passive exposure = Σ (ETF AUM × stock weight in ETF) across 8 tracked ETFs. Actual passive ownership is larger (includes mutual funds). Not investment advice.

ETF Contagion Visualizer

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

GTLS Shock
-0%
Est. Passive Redemption
$0
Systemic Risk
STABLE
GTLSEpicenterVBETFVXFETFVBKETFFLEXMed RiskBELow RiskFTILow RiskTWLOLow RiskCWLow Risk
GTLS Price Drop (%)0

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

Contagion model based on shared ETF exposure and constituent weights across 9 tracked ETFs. Estimated selling pressure is a simplified model — actual impact depends on market liquidity, ETF redemption mechanics, and market-maker activity.

GTLS Ownership Dynamics

Ticker
GTLS

Float lock-up computed from 9 ETFs tracked by SecuritiesDB. Actual passive ownership is higher (includes mutual funds, pension funds, etc.).

GTLS Capital Efficiency

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

Free Cash Flow
$203M
EBITDA
$602M
FCF Conversion
34%
Reinvestment Rate
66%
34% of EBITDA → Free Cash
0% (cash burn)25% (low)50% (efficient)100% (pure cash)
ROIC
3.3%
ROIC − WACC Spread
-9.2%

GTLS converts 34% of its EBITDA into free cash flow, a moderate conversion rate — significant EBITDA is consumed by capital expenditures, working capital changes, or interest payments. The 66% reinvestment rate signals aggressive capacity expansion. However, the ROIC-WACC spread is negative (-9.2%), 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.

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
2026-05-0622$207.75$4,570.5
2026-04-27828$207.85$172,099.8
2026-04-2121,929$208.13$4.6M
2026-04-092,674$207.76$555,550.24
2026-03-2619$207.24$3,937.56
2026-03-2575$207.05$15,528.75
2026-03-1149$206.81$10,133.69
2026-03-108,035$207.20$1.7M
2026-02-23201$207.17$41,641.17
2026-02-04249$207.40$51,642.6
2026-02-0386$207.45$17,840.7
2026-01-20375$207.41$77,778.75
2026-01-13114$206.71$23,564.94
2026-01-07118$206.25$24,337.5
2025-12-29646$205.85$132,979.1
2025-12-24601$205.97$123,787.97
2025-12-236$205.90$1,235.4
2025-12-221,046$205.91$215,381.86
2025-12-18429$205.61$88,206.69
2025-12-1511$205.78$2,263.58
2025-12-1211$205.60$2,261.6
2025-12-10125$205.40$25,675
2025-12-041,311$204.96$268,702.56
2025-12-02202$204.04$41,216.08
2025-12-01205$203.95$41,809.75
2025-11-254$203.85$815.4
2025-11-24735$203.50$149,572.5
2025-11-214$203.41$813.64
2025-11-1779$203.54$16,079.66
2025-11-1479$203.52$16,078.08

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 GTLS 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.