SDRL (SDRL)
Quantitative Summary
DeterministicBelow-average fundamentals indicated by Piotroski score of 3/9.
Generated deterministically from quant metrics and financial statements. Not a recommendation.
Algorithmic Teardown
AI-GeneratedThe fundamental economics of SDRL reveal a significant capital allocation challenge, characterized by an ROIC-WACC spread of -11.9%, indicating that the firm is currently destroying value relative to its cost of equity. This negative spread is primarily driven by net margins contracting to -5.4% despite gross margins holding at 12.0%, suggesting operational inefficiencies or high fixed costs are eroding profitability rather than margin expansion. While revenue growth remains modestly positive at 3.8% YoY, the DuPont components point toward leverage and turnover issues rather than margin improvement as potential drivers for ROE recovery. Financial health metrics further underscore this fragility; a Piotroski F-Score of 3/9 signals weak financial strength trends, while an Altman Z-Score of 2.4 places the company in the "grey zone" between safety and bankruptcy risk. Conversely, the Beneish M-Score of -2.35 suggests low earnings manipulation risk, implying that reported losses may reflect genuine operational headwinds rather than accounting distortions.
Valuation dynamics are difficult to assess with precision given the absence of sector peers or historical averages in the provided dataset, but the negative spread and deteriorating margins imply that current multiples likely incorporate substantial distress premiums. Without explicit DCF inputs for implied growth rates, the market pricing appears heavily weighted toward downside scenarios consistent with a firm generating returns well below its hurdle rate. The combination of shrinking net income and sub-par capital efficiency suggests any valuation expansion would require a fundamental pivot in operating leverage or margin structure to align ROIC closer to the 12.2% WACC threshold.
Risk assessment highlights a precarious position where downside volatility is amplified by the negative spread, while upside potential remains constrained until profitability turns positive. The low Beneish score mitigates fraud risk but does not offset the structural inefficiencies evident in the Piotroski and Altman scores. Investors must weigh whether current pricing adequately compensates for the high probability of continued value destruction against the possibility that temporary operational issues will resolve, given the lack of insider activity data to signal management confidence or strategic shifts.
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.
Fundamentals
Passive Flow Attribution
ETF Draft EffectWhen investors buy or sell ETFs like XES or VDE, the fund manager is mechanically forced to buy or sell SDRL shares regardless of SDRL's individual fundamentals. We estimate $52M of passive capital is structurally linked to SDRL through 4 tracked ETFs. Passive flows have a limited but growing influence on SDRL's daily trading dynamics.
Passive exposure = Σ (ETF AUM × stock weight in ETF) across 4 tracked ETFs. Actual passive ownership is larger (includes mutual funds). Not investment advice.
ETF Contagion Visualizer
Simulate a price drop in SDRL to visualize passive redemption contagion across ETFs and collateral stocks.
If SDRL (SDRL) 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 SDRL. This is the "Passive Contagion" effect described in the Inelastic Market Hypothesis.
Contagion model based on shared ETF exposure and constituent weights across 4 tracked ETFs. Estimated selling pressure is a simplified model — actual impact depends on market liquidity, ETF redemption mechanics, and market-maker activity.
SDRL Ownership Dynamics
Passive funds hold 1 in every 51 SDRL shares, reducing daily market volatility.
SDRL (SDRL) exerts measurable gravity on the passive index market, currently representing 4.2% of the XES (XES) and 0.1% of the VDE (VDE). Across 4 tracked ETFs, approximately 1M shares (2.0% 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 SDRL Exposure
Float lock-up computed from 4 ETFs tracked by SecuritiesDB. Actual passive ownership is higher (includes mutual funds, pension funds, etc.).
SDRL 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 SDRL over the past year sits near $28.89 (18% of 252-day volume). The current price of $47.41 trades 64.1% 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 (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.
SDRL Capital Efficiency
How efficiently does SDRL convert operating profits into free cash? The FCF Conversion ratio measures the gap between accounting earnings and real cash generation.
SDRL converts -56% 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 156% reinvestment rate signals aggressive capacity expansion. However, the ROIC-WACC spread is negative (-12.0%), 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 |
|---|---|---|---|
| 2026-04-20 | 393 | $46.17 | $18,144.81 |
| 2026-04-15 | 65 | $46.01 | $2,990.65 |
| 2026-04-01 | 21 | $45.50 | $955.5 |
| 2026-03-23 | 389 | $43.60 | $16,960.4 |
| 2026-03-19 | 995 | $44.18 | $43,959.1 |
| 2026-03-16 | 6,923 | $42.90 | $296,996.7 |
| 2026-02-26 | 48,624 | $45.22 | $2.2M |
| 2026-02-24 | 17 | $44.12 | $750.04 |
| 2026-02-19 | 11 | $43.80 | $481.8 |
| 2026-02-18 | 33 | $42.50 | $1,402.5 |
| 2026-02-13 | 33,649 | $41.13 | $1.4M |
| 2026-02-11 | 830 | $40.20 | $33,366 |
| 2026-02-09 | 83,461 | $39.90 | $3.3M |
| 2026-01-28 | 14,896 | $38.75 | $577,220 |
| 2026-01-22 | 5,683 | $38.16 | $216,863.28 |
| 2026-01-21 | 294 | $35.03 | $10,298.82 |
| 2026-01-20 | 398 | $34.72 | $13,818.56 |
| 2026-01-07 | 183,855 | $34.80 | $6.4M |
| 2025-12-22 | 28,052 | $31.57 | $885,601.64 |
| 2025-12-01 | 497 | $30.52 | $15,168.44 |
| 2025-11-19 | 1,308 | $31.42 | $41,097.36 |
| 2025-11-14 | 1,317 | $29.62 | $39,009.54 |
| 2025-11-13 | 375 | $30.21 | $11,328.75 |
| 2025-11-12 | 411 | $30.97 | $12,728.67 |
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 | |
| NE | 0.784 | 0.744 | High co-movement |
| RIG | 0.692 | 0.630 | Moderate |
| VAL | 0.643 | 0.524 | Moderate |
| TDW | 0.609 | 0.564 | Moderate |
| PTEN | 0.604 | 0.507 | Moderate |
| WFRD | 0.590 | 0.464 | Moderate |
| HP | 0.590 | 0.531 | Moderate |
| DVN | 0.576 | 0.465 | Moderate |
| MUR | 0.576 | 0.424 | Moderate |
Pearson correlation of daily log returns. 252d ≈ 1 trading year. Computed from price history. Not investment advice.
Compare SDRL 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.