GTLB (GTLB)
Quantitative Summary
DeterministicFinancial health is average: Piotroski 4/9, Altman Z 3.0. DCF fair value of $15 implies 26% downside based on model assumptions.
Generated deterministically from quant metrics and financial statements. Not a recommendation.
Algorithmic Teardown
AI-GeneratedThe capital allocation efficiency is severely compromised, evidenced by a negative ROIC of -5.2% and net margins contracting to -5.9%, which fundamentally undermines the DuPont decomposition despite an impressive 87.4% gross margin suggesting strong pricing power or low variable costs relative to revenue. This structural disconnect between top-line expansion, with revenue growing at 25.8% year-over-year, and bottom-line destruction is corroborated by a Piotroski F-Score of only 4/9 and an Altman Z-Score hovering near the distress threshold at 3.0. While the Beneish M-Score of -3.10 indicates low earnings manipulation risk, the weak profitability factor (RMW) loading of -1.320 highlights that current returns are driven more by aggressive growth strategies than operational efficiency, creating a fragile equity value proposition where high turnover does not translate to retained capital gains.
Valuation metrics reflect this divergence between revenue velocity and cash flow generation, with the DCF model pricing in merely 2.6% free cash flow growth over the next decade, resulting in a fair value estimate of $15 that implies -25.7% downside from current levels. The market appears to be discounting future earnings potential significantly relative to historical norms and sector peers, as indicated by the substantial negative DCF upside gap. This pricing skepticism is further reinforced by factor analysis showing significant underperformance in both profitability (-1.320) and value exposure (-0.439), suggesting the stock carries a heavy growth tilt that has failed to generate alpha over time.
The risk-reward profile is skewed heavily against traditional value metrics, with an annualized Fama-French Alpha of -20.79% signaling consistent underperformance relative to asset class benchmarks. Investors must weigh whether the high revenue growth rate can eventually bridge the widening gap between gross and net margins before capital destruction accelerates further. The combination of negative ROIC and a Z-Score approaching distress suggests that any multiple expansion would require a fundamental shift in operational leverage rather than continued top-line momentum alone.
Generated by LLM from quantitative data inputs. May contain inaccuracies. Not investment advice.
DCF Sandbox
Interactive5-year two-stage DCF. Terminal growth 3%. Default sliders match the pre-computed base case. Drag to explore scenarios. Not investment advice.
The growth rate the market implicitly expects over the next 10 years to justify today's price. Compare with historical growth of 26% YoY revenue.
Sensitivity Matrix
| TG ↓ / WACC → | 8% | 10% | 12% |
|---|---|---|---|
| 2% | $18 | $14 | $11 |
| 3% | $20 | $15 | $12 |
| 4% | $24 | $17 | $13 |
Center = base case. Green = >10% upside, Red = >10% downside vs $31.82.
Pre-computed DCF: WACC=10.0%, terminal growth 3%. Fair value $15 (-25.7%). Not investment advice.
Price Chart with Moving Averages
Technical Setup
AI GeneratedAt a current price of $25.62, GTLB is positioned within its recent trading range without explicit data regarding the immediate proximity to Simple Moving Average boundaries or envelope limits. In the absence of specific upper and lower band values relative to this exact moment, it remains unclear whether the asset is currently exhibiting extreme overextension typical of mean-reversion candidates or if it maintains a neutral stance aligned with longer-term averages. The price level itself suggests a state that requires further context from surrounding volatility bands to determine if significant divergence exists between market sentiment and statistical norms. Technical analysis relies heavily on the relationship between spot prices and moving average envelopes to gauge potential reversals, yet without knowing where the current $25.62 mark sits relative to these dynamic thresholds, definitive conclusions about mean-reversion probability cannot be drawn. If this price were significantly detached from a central tendency defined by recent history, it might imply heightened volatility or a pending correction toward equilibrium; conversely, alignment with such averages would suggest continued momentum rather than an immediate reversal signal. Observers must monitor how future pricing action interacts with these calculated boundaries to assess whether the stock is statistically primed for a return to its average valuation path or if it is consolidating within expected parameters.
Quant Health Deep Dive
Profitability & Value Creation
Balance Sheet Health
Earnings Surprise History
EPS estimates vs actuals for the most recent reported quarters. Source: yfinance.
Risk Profile
Sharpe = risk-adjusted return (higher is better). Max drawdown = largest peak-to-trough decline. 1,200+ trading days.
Underwater (Drawdown from Peak)
How far below the all-time high the price has been over time. Deeper = more pain for holders.
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.
Fama-French 5-Factor Exposure
Academic factor model decomposition — what's really driving this stock's returns.
Fama-French 5-Factor Model. Data: Kenneth French Data Library. Regression over 3 years of daily returns.
Fundamentals
Passive Flow Attribution
ETF Draft EffectWhen investors buy or sell ETFs like ARKW or XSW, the fund manager is mechanically forced to buy or sell GTLB shares regardless of GTLB's individual fundamentals. We estimate $119M of passive capital is structurally linked to GTLB through 7 tracked ETFs. Passive flows have a limited but growing influence on GTLB'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 GTLB to visualize passive redemption contagion across ETFs and collateral stocks.
If GTLB (GTLB) experiences a significant drawdown, ETF redemptions can create collateral selling pressure on co-held stocks. Our model identifies NVIDIA Corp. (NVDA) as the most exposed collateral stock, sharing 2 ETFs with GTLB. 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.
GTLB Ownership Dynamics
Passive funds hold 1 in every 20 GTLB shares, reducing daily market volatility.
GTLB (GTLB) exerts measurable gravity on the passive index market, currently representing 0.9% of the ARK Next Generation Internet ETF (ARKW) and 0.8% of the XSW (XSW). Across 8 tracked ETFs, approximately 8M shares (5.1% of float) are held by passive funds and rarely trade on the open market. As passive ownership grows, index inclusion changes may increasingly drive price discovery.
ETFs with Highest GTLB Exposure
Float lock-up computed from 8 ETFs tracked by SecuritiesDB. Actual passive ownership is higher (includes mutual funds, pension funds, etc.).
GTLB Institutional Volume Profile
252-day volume distribution by price level. The Point of Control (POC) marks — the price where the most institutional volume transacted — an implicit support/resistance floor.
The highest-volume price zone for GTLB over the past year sits near $22.94 (10% of 252-day volume). The current price of $31.82 trades 38.7% above this institutional floor — a sign of upside momentum, though a pullback to the POC zone is a common reversion target.
Volume Profile computed from 252 trading days of OHLCV data. Volume allocated to price bins proportionally based on daily high-low range. 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.
| Date | Failed Shares | Close Price | Notional Value |
|---|---|---|---|
| 2026-05-13 | 30,004 | $23.08 | $692,492.32 |
| 2026-05-04 | 1,089 | $24.05 | $26,190.45 |
| 2026-04-22 | 1 | $22.15 | $22.15 |
| 2026-04-20 | 28,716 | $21.42 | $615,096.72 |
| 2026-04-17 | 263 | $21.83 | $5,741.29 |
| 2026-04-10 | 100 | $19.67 | $1,967 |
| 2026-03-27 | 575 | $21.25 | $12,218.75 |
| 2026-03-19 | 600 | $22.63 | $13,578 |
| 2026-03-12 | 170,486 | $23.16 | $3.9M |
| 2026-03-04 | 1,500 | $26.70 | $40,050 |
| 2026-03-02 | 23 | $26.30 | $604.9 |
| 2026-02-23 | 9,238 | $26.39 | $243,790.82 |
| 2026-02-20 | 4,493 | $28.74 | $129,128.82 |
| 2026-02-19 | 5,387 | $28.98 | $156,115.26 |
| 2026-02-11 | 493 | $31.55 | $15,554.15 |
| 2026-02-10 | 300 | $32.46 | $9,738 |
| 2026-02-06 | 91,071 | $30.61 | $2.8M |
| 2026-02-05 | 149,294 | $32.54 | $4.9M |
| 2026-01-29 | 6,796 | $37.23 | $253,015.08 |
| 2026-01-26 | 394 | $36.38 | $14,333.72 |
| 2026-01-23 | 19,989 | $37.40 | $747,588.6 |
| 2026-01-13 | 12,560 | $35.66 | $447,889.6 |
| 2025-12-29 | 16,999 | $37.84 | $643,242.16 |
| 2025-12-26 | 12,216 | $37.48 | $457,855.68 |
| 2025-12-22 | 700 | $38.00 | $26,600 |
| 2025-12-19 | 762 | $38.07 | $29,009.34 |
| 2025-12-18 | 118,542 | $37.87 | $4.5M |
| 2025-12-17 | 230 | $38.10 | $8,763 |
| 2025-12-11 | 588 | $40.50 | $23,814 |
| 2025-12-09 | 31,919 | $39.07 | $1.2M |
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.
Price Correlations
Statistical correlation of daily returns with other stocks. High correlations indicate stocks that move together; negative correlations can offer diversification.
| Peer | 252-Day (1Y) | 126-Day (6M) | Direction |
|---|---|---|---|
| WTGXX | NaN | NaN | |
| CRM | 0.607 | 0.558 | Moderate |
| TENB | 0.551 | 0.535 | Moderate |
| OKTA | 0.505 | 0.549 | Moderate |
| NOW | 0.502 | 0.458 | Moderate |
| S | 0.500 | 0.492 | Moderate |
| ZS | 0.498 | 0.536 | Moderate |
| WDAY | 0.482 | 0.483 | Moderate |
| SNOW | 0.467 | 0.468 | Moderate |
| ADSK | 0.463 | 0.461 | Moderate |
Pearson correlation of daily log returns. 252d ≈ 1 trading year. Computed from price history. Not investment advice.
Compare GTLB to Peers
Quant metrics computed deterministically from financial statements and price data. Updated: 2026-06-02.
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.