Diamondback Energy, Inc. (FANG)
Quantitative Summary
DeterministicFANG trades at 195.4x earnings — a 462% premium to its sector average of 34.8x — without a dominant ROIC-WACC spread. Financial health is average: Piotroski 5/9, Altman Z 1.5.
Generated deterministically from quant metrics and financial statements. Not a recommendation.
Algorithmic Teardown
AI-GeneratedThe fundamental economics of this energy sector name reveal a significant capital efficiency disconnect, where the return on invested capital of 2.5% falls sharply below the weighted average cost of capital at 7.5%, generating a negative spread that erodes shareholder value despite robust revenue expansion of 35.4%. While the DuPont decomposition shows earnings power is driven primarily by strong net margins rather than asset turnover or leverage, the low profitability factor score relative to its sector peers suggests operational inefficiencies in deploying capital. Credit metrics present a mixed picture; although the Beneish M-Score indicates clean reporting and the Piotroski F-Score remains moderate at 5/9, an Altman Z-score of 1.4 signals elevated distress risk that warrants caution regarding solvency under stress scenarios.
Valuation multiples reflect substantial optimism relative to historical norms and sector averages, with a current price-to-earnings ratio of 33.8x trading well above the peer group mean of 24.0x. This premium implies the market is pricing in aggressive future growth assumptions that appear misaligned with the company's capital destruction metrics, as the negative ROIC-WACC spread indicates earnings are being consumed by financing costs rather than creating wealth. The disconnect between high revenue velocity and value-destructive returns suggests the current valuation may be disconnected from underlying cash flow generation capabilities unless leverage or margin expansion materially improves in subsequent quarters.
Risk factors further complicate the investment thesis, highlighted by a negative Fama-French alpha of -14.32% annually which indicates underperformance relative to risk-adjusted benchmarks over the measured period. This statistical anomaly is compounded by aggressive insider activity, with approximately $2.7 billion in net selling over the last 90 days, suggesting management may view current share prices as attractive for liquidity needs or lack confidence in near-term catalysts. The combination of negative alpha, significant insider outflows, and a capital structure that destroys value creates a challenging risk-reward profile where downside protection is limited by valuation expansion while upside potential is capped by structural inefficiencies.
Generated by LLM from quantitative data inputs. May contain inaccuracies. Not investment advice.
Valuation Context
Currently trading 20% above its 5-year average P/E of 27.4x.
Price Chart with Moving Averages
Technical Setup
AI GeneratedDiamondback Energy, Inc. is currently trading at $204.33 within the energy sector, presenting a specific technical landscape for institutional assessment. The proximity of price levels to key moving average crossovers often serves as a focal point where larger market participants evaluate trend validity versus potential reversal signals. When such averages converge or cross in this range, it frequently indicates that significant capital is either consolidating existing positions or rotating into the asset based on shifting risk appetites within the broader energy complex. Volume trends accompanying these price movements provide critical context regarding the conviction behind institutional activity. Elevated volume during upward thrusts near support zones typically suggests active accumulation by sophisticated players who anticipate sustained momentum, whereas diminishing volume during rallies may signal a lack of fresh institutional interest or potential exhaustion in the current trend. The interplay between the $204.33 price point and these structural indicators reveals how major entities are likely positioning themselves relative to volatility thresholds, potentially using this level as a pivot for strategic entry or exit decisions without committing to long-term directional bets immediately. Ultimately, the confluence of moving average interactions and volume profiles at current levels reflects a dynamic environment where institutional behavior is characterized by careful observation rather than impulsive execution. This setup implies that larger market forces are likely weighing short-term technical triggers against fundamental sector outlooks before deploying substantial capital. Traders monitoring these metrics should interpret the data as evidence of evolving positioning strategies, allowing for an understanding of how professional investors might be adjusting their exposure in
Quant Health Deep Dive
Profitability & Value Creation
DuPont Analysis — ROE Decomposition
Breaking down Return on Equity to see how the company generates its ROE — efficiency, margins, or leverage.
Balance Sheet Health
Insider Activity (Last 90 Days)
Open-market buys vs sells by company insiders. Source: yfinance.
Earnings Surprise History
EPS estimates vs actuals for the most recent reported quarters. Source: yfinance.
Dividend History
| Date | Amount | Change |
|---|---|---|
| 2026-05-14 | $1.1000 | +4.8% |
| 2026-03-05 | $1.0500 | +5.0% |
| 2025-11-13 | $1.0000 | 0.0% |
| 2025-08-14 | $1.0000 | 0.0% |
| 2025-05-15 | $1.0000 | 0.0% |
| 2025-03-06 | $1.0000 | +11.1% |
| 2024-11-14 | $0.9000 | -61.5% |
| 2024-08-15 | $2.3400 | +18.8% |
| 2024-05-14 | $1.9700 | -36.0% |
| 2024-03-04 | $3.0800 | -8.6% |
| 2023-11-15 | $3.3700 | +301.2% |
| 2023-08-09 | $0.8400 | +1.2% |
Dividend and split data from SEC filings and market data. Amounts are per share, not adjusted for splits. 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 XOP or XLE, the fund manager is mechanically forced to buy or sell FANG shares regardless of Diamondback Energy, Inc.'s individual fundamentals. We estimate $7.3B of passive capital is structurally linked to FANG through 8 tracked ETFs. This substantial passive exposure means that ETF inflows and outflows — not company fundamentals — can dominate daily volume on this stock.
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 Diamondback Energy, Inc. to visualize passive redemption contagion across ETFs and collateral stocks.
If Diamondback Energy, Inc. (FANG) experiences a significant drawdown, ETF redemptions can create collateral selling pressure on co-held stocks. Our model identifies EXXON MOBIL CORP (XOM) as the most exposed collateral stock, sharing 2 ETFs with FANG. This is the "Passive Contagion" effect described in the Inelastic Market Hypothesis.
Contagion model based on shared ETF exposure and constituent weights across 30 tracked ETFs. Estimated selling pressure is a simplified model — actual impact depends on market liquidity, ETF redemption mechanics, and market-maker activity.
FANG Ownership Dynamics
Passive funds hold 1 in every 7 FANG shares, reducing daily market volatility.
Diamondback Energy, Inc. (FANG) exerts measurable gravity on the passive index market, currently representing 2.9% of the XOP (XOP) and 2.1% of the State Street Energy Select Sector SPDR ETF (XLE). Across 30 tracked ETFs, approximately 40M shares (14.1% 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 FANG Exposure
Float lock-up computed from 30 ETFs tracked by SecuritiesDB. Actual passive ownership is higher (includes mutual funds, pension funds, etc.).
FANG 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 Diamondback Energy, Inc. over the past year sits near $138.19 (16% of 252-day volume). The current price of $202.40 trades 46.5% above this institutional floor — a sign of upside momentum, though a pullback to the POC zone is a common reversion target. The highly concentrated volume profile (16% 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.
FANG Capital Efficiency
How efficiently does Diamondback Energy, Inc. convert operating profits into free cash? The FCF Conversion ratio measures the gap between accounting earnings and real cash generation.
Diamondback Energy, Inc. converts -10% of its EBITDA into free cash flow, negative FCF conversion — the company is consuming cash faster than it generates EBITDA, which is unsustainable long-term. The 110% reinvestment rate signals aggressive capacity expansion. However, the ROIC-WACC spread is negative (-4.6%), 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.
| Date | Failed Shares | Close Price | Notional Value |
|---|---|---|---|
| 2026-05-14 | 5,239 | $201.10 | $1.1M |
| 2026-05-08 | 985 | $190.45 | $187,593.25 |
| 2026-05-07 | 16 | $195.08 | $3,121.28 |
| 2026-05-06 | 537 | $206.18 | $110,718.66 |
| 2026-05-05 | 60 | $213.69 | $12,821.4 |
| 2026-05-01 | 1,561 | $205.63 | $320,988.43 |
| 2026-04-20 | 67 | $180.27 | $12,078.09 |
| 2026-04-16 | 2 | $185.87 | $371.74 |
| 2026-04-15 | 928 | $186.51 | $173,081.28 |
| 2026-04-14 | 157 | $189.10 | $29,688.7 |
| 2026-04-02 | 10 | $190.62 | $1,906.2 |
| 2026-03-24 | 3 | $191.78 | $575.34 |
| 2026-03-23 | 18,812 | $192.54 | $3.6M |
| 2026-03-12 | 1,724,174 | $176.64 | $304.6M |
| 2026-03-05 | 100 | $176.71 | $17,671 |
| 2026-03-04 | 12 | $177.53 | $2,130.36 |
| 2026-03-02 | 2 | $174.08 | $348.16 |
| 2026-02-24 | 1,653 | $173.82 | $287,324.46 |
| 2026-02-23 | 13,451 | $176.01 | $2.4M |
| 2026-02-12 | 1 | $169.01 | $169.01 |
| 2026-02-11 | 226 | $164.89 | $37,265.14 |
| 2026-02-09 | 33,661 | $166.93 | $5.6M |
| 2026-01-28 | 155 | $159.12 | $24,663.6 |
| 2026-01-27 | 135 | $153.52 | $20,725.2 |
| 2026-01-22 | 19 | $153.00 | $2,907 |
| 2026-01-20 | 3,305 | $151.28 | $499,980.4 |
| 2025-12-30 | 90 | $148.57 | $13,371.3 |
| 2025-12-11 | 1,577 | $160.28 | $252,761.56 |
| 2025-12-09 | 1 | $157.52 | $157.52 |
| 2025-12-05 | 3,320 | $159.51 | $529,573.2 |
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 | |
| DVN | 0.867 | 0.836 | High co-movement |
| COP | 0.817 | 0.774 | High co-movement |
| EOG | 0.807 | 0.780 | High co-movement |
| APA | 0.800 | 0.788 | High co-movement |
| MUR | 0.790 | 0.750 | High co-movement |
| OXY | 0.781 | 0.745 | High co-movement |
| XOM | 0.724 | 0.679 | High co-movement |
| PTEN | 0.700 | 0.590 | High co-movement |
| CVX | 0.689 | 0.602 | Moderate |
Pearson correlation of daily log returns. 252d ≈ 1 trading year. Computed from price history. Not investment advice.
Compare FANG 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.