NTLA (NTLA)
Quantitative Summary
DeterministicBelow-average fundamentals indicated by Piotroski score of 3/9; Altman Z of 0.3 falls in the academic distress zone.
Generated deterministically from quant metrics and financial statements. Not a recommendation.
Algorithmic Teardown
AI-GeneratedThe fundamental economics of NTLA reveal a severe disconnect between capital efficiency and revenue expansion, characterized by an ROIC-WACC spread of -63.6%, indicating that the company is currently destroying value at a rate far exceeding its cost of equity. This negative valuation driver stems from abysmal profitability metrics; with net margins collapsing to -609.8% and a Profitability Factor (RMW) score of -2.372, the business model has not yet achieved sustainable earnings generation despite posting 16.9% year-over-year revenue growth. The DuPont decomposition is obscured by these losses, but the low Piotroski F-Score of 3/9 and an Altman Z-Score of merely 0.3 signal significant financial distress and a heightened probability of bankruptcy relative to industry peers. These qualitative red flags suggest that current top-line momentum is insufficient to offset the structural weaknesses in capital allocation and operational leverage.
From a valuation perspective, the market appears to be pricing in substantial uncertainty rather than immediate cash flow stability. While specific historical P/E comparisons are unavailable due to negative earnings, the implied growth assumptions required for any positive DCF fair value would need to dramatically outpace the current 16.9% revenue trajectory to overcome the massive drag on returns caused by the -47.2% ROIC. The stock's exposure to a Growth tilt (Value Factor of -0.767) suggests it is being evaluated primarily on future potential rather than intrinsic asset value, leaving little margin for error if execution lags. Consequently, the current pricing reflects a high-risk premium where any deviation from aggressive growth targets could trigger a rapid repricing based on the underlying lack of profitability and poor balance sheet health indicated by the Altman metric.
Risk factors further complicate the risk-reward profile, as evidenced by a Fama-French Alpha of 1.16%, which indicates that past performance has slightly outpaced what would be expected given its size and value characteristics, potentially masking underlying structural issues with short-term momentum. However, this alpha does not compensate for the fundamental deterioration highlighted by the weak profitability factor or the negative spread between returns on invested capital and the weighted average cost of capital. The convergence of a distressed Altman Z-Score and minimal Piotroski score creates an asymmetric risk environment where downside protection is limited, while upside remains contingent upon a successful transition to positive margins that has not yet materialized in the financial statements.
Generated by LLM from quantitative data inputs. May contain inaccuracies. Not investment advice.
Price Chart with Moving Averages
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 ARKG or ARKK, the fund manager is mechanically forced to buy or sell NTLA shares regardless of NTLA's individual fundamentals. We estimate $260M of passive capital is structurally linked to NTLA through 5 tracked ETFs. Passive flows have a limited but growing influence on NTLA's daily trading dynamics.
Passive exposure = Σ (ETF AUM × stock weight in ETF) across 5 tracked ETFs. Actual passive ownership is larger (includes mutual funds). Not investment advice.
ETF Contagion Visualizer
Simulate a price drop in NTLA to visualize passive redemption contagion across ETFs and collateral stocks.
If NTLA (NTLA) experiences a significant drawdown, ETF redemptions can create collateral selling pressure on co-held stocks. Our model identifies CRISPR THERAPEUTICS AG (CRSP) as the most exposed collateral stock, sharing 3 ETFs with NTLA. This is the "Passive Contagion" effect described in the Inelastic Market Hypothesis.
Contagion model based on shared ETF exposure and constituent weights across 5 tracked ETFs. Estimated selling pressure is a simplified model — actual impact depends on market liquidity, ETF redemption mechanics, and market-maker activity.
NTLA Ownership Dynamics
Passive funds hold 1 in every 6 NTLA shares, reducing daily market volatility.
NTLA (NTLA) exerts notable gravity on the passive index market, currently representing 3.4% of the ARK Genomic Revolution ETF (ARKG) and 2.3% of the ARK Innovation ETF (ARKK). Across 5 tracked ETFs, approximately 22M shares (15.5% of float) are held by passive funds and rarely trade on the open market. This level of passive ownership means index rebalances can create outsized volume events.
ETFs with Highest NTLA Exposure
Float lock-up computed from 5 ETFs tracked by SecuritiesDB. Actual passive ownership is higher (includes mutual funds, pension funds, etc.).
NTLA 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 NTLA over the past year sits near $13.85 (18% of 252-day volume). The current price of $13.13 sits 5.2% below the POC — suggesting potential mean-reversion upside if institutional demand reasserts at this level. The highly concentrated volume profile (18% at POC) indicates strong consensus on fair value — institutional participants have repeatedly transacted near this price.
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 |
|---|---|---|---|
| 2026-05-14 | 18,575 | $14.28 | $265,251 |
| 2026-05-12 | 184 | $14.42 | $2,653.28 |
| 2026-05-06 | 1,208 | $13.31 | $16,078.48 |
| 2026-05-05 | 58,300 | $13.87 | $808,621 |
| 2026-05-04 | 1,247 | $13.26 | $16,535.22 |
| 2026-05-01 | 1,246 | $13.48 | $16,796.08 |
| 2026-04-30 | 190,818 | $12.45 | $2.4M |
| 2026-04-28 | 602,801 | $13.04 | $7.9M |
| 2026-04-24 | 27,013 | $15.87 | $428,696.31 |
| 2026-04-22 | 60,755 | $15.31 | $930,159.05 |
| 2026-04-21 | 531 | $15.21 | $8,076.51 |
| 2026-04-20 | 2,900 | $14.95 | $43,355 |
| 2026-04-17 | 20,212 | $14.16 | $286,201.92 |
| 2026-04-16 | 5,259 | $14.94 | $78,569.46 |
| 2026-04-15 | 6,995 | $14.78 | $103,386.1 |
| 2026-04-14 | 12,468 | $14.26 | $177,793.68 |
| 2026-04-13 | 8,037 | $13.49 | $108,419.13 |
| 2026-04-10 | 6,651 | $13.83 | $91,983.33 |
| 2026-04-07 | 1,388 | $13.30 | $18,460.4 |
| 2026-04-06 | 229 | $13.13 | $3,006.77 |
| 2026-04-01 | 1,186 | $12.82 | $15,204.52 |
| 2026-03-27 | 599 | $13.24 | $7,930.76 |
| 2026-03-24 | 2,475 | $13.11 | $32,447.25 |
| 2026-03-10 | 277,080 | $13.89 | $3.8M |
| 2026-03-05 | 15,086 | $13.82 | $208,488.52 |
| 2026-03-03 | 1,489,328 | $15.44 | $23.0M |
| 2026-02-27 | 63,721 | $14.28 | $909,935.88 |
| 2026-02-26 | 14,110 | $13.42 | $189,356.2 |
| 2026-02-25 | 19,608 | $13.58 | $266,276.64 |
| 2026-02-24 | 12,586 | $13.16 | $165,631.76 |
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 | |
| BEAM | 0.615 | 0.584 | Moderate |
| CRSP | 0.603 | 0.595 | Moderate |
| PRME | 0.480 | 0.572 | Moderate |
| RXRX | 0.471 | 0.415 | Moderate |
| SDGR | 0.404 | 0.437 | Moderate |
| ABSI | 0.403 | 0.399 | Moderate |
| BFLY | 0.395 | 0.372 | Moderate |
| PACB | 0.375 | 0.337 | Moderate |
| VCYT | 0.366 | 0.427 | Moderate |
Pearson correlation of daily log returns. 252d ≈ 1 trading year. Computed from price history. Not investment advice.
Compare NTLA 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.