XERS (XERS)
Quantitative Summary
DeterministicStrong operational fundamentals (Piotroski 8/9).
Generated deterministically from quant metrics and financial statements. Not a recommendation.
Algorithmic Teardown
AI-GeneratedThe fundamental economics of XERS present a stark dichotomy between exceptional top-line velocity and razor-thin profitability. While revenue growth accelerates at 43.7% year-over-year, indicating strong demand traction or market share expansion, the net margin compresses to merely 0.2%, suggesting that operating leverage has not yet materialized despite an impressive 85.4% gross margin. This structural inefficiency is reflected in a Return on Invested Capital of only 8.6%, which fails to generate excess value over the cost of capital, contrasting sharply with its robust financial health indicators. The company exhibits high-quality earnings characteristics evidenced by a Piotroski F-Score of 8/9 and a Beneish M-Score of -2.59, signaling low manipulation risk despite the weak bottom line; however, the DuPont decomposition implies that future ROE improvement hinges entirely on margin expansion rather than leverage or asset turnover optimization.
Valuation metrics reflect extreme market optimism regarding growth potential while ignoring current profitability constraints. The stock trades at a P/E ratio of 94.7x, vastly exceeding historical norms and sector averages for firms with such negligible net margins, effectively pricing in years of future margin accretion that the current income statement does not support. A Discounted Cash Flow analysis suggests a significant disconnect between market price and intrinsic value, pointing to a fair value estimate of $2. This wide disparity indicates that the market is assigning an extremely high implied growth rate to cash flows that are currently suppressed by low net margins, creating substantial downside risk if operational efficiency does not improve rapidly.
The convergence of these factors creates a precarious risk-reward profile where the strong qualitative signals from the Piotroski and Beneish models may be insufficient to justify the quantitative valuation gap. Investors must weigh whether the 43.7% revenue growth can sustainably convert into net profitability or if the current multiple represents an overextension based on speculative future performance rather than realized economic returns.
Generated by LLM from quantitative data inputs. May contain inaccuracies. Not investment advice.
DCF Sandbox
InteractiveSensitivity Matrix
| TG ↓ / WACC → | 8% | 10% | 12% |
|---|---|---|---|
| 2% | $3 | $2 | $1 |
| 3% | $3 | $2 | $1 |
| 4% | $4 | $2 | $2 |
Center = base case. Green = >10% upside, Red = >10% downside vs —.
Pre-computed DCF: WACC=10.0%, terminal growth 3%. Fair value $2 (+0.0%). 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.
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 XPH or VFMO, the fund manager is mechanically forced to buy or sell XERS shares regardless of XERS's individual fundamentals. We estimate $11M of passive capital is structurally linked to XERS through 3 tracked ETFs. Passive flows have a limited but growing influence on XERS's daily trading dynamics.
Passive exposure = Σ (ETF AUM × stock weight in ETF) across 3 tracked ETFs. Actual passive ownership is larger (includes mutual funds). Not investment advice.
ETF Contagion Visualizer
Simulate a price drop in XERS to visualize passive redemption contagion across ETFs and collateral stocks.
If XERS (XERS) experiences a significant drawdown, ETF redemptions can create collateral selling pressure on co-held stocks. Our model identifies Eli Lilly & Co. (LLY) as the most exposed collateral stock, sharing 2 ETFs with XERS. This is the "Passive Contagion" effect described in the Inelastic Market Hypothesis.
Contagion model based on shared ETF exposure and constituent weights across 3 tracked ETFs. Estimated selling pressure is a simplified model — actual impact depends on market liquidity, ETF redemption mechanics, and market-maker activity.
XERS Ownership Dynamics
ETFs with Highest XERS Exposure
Float lock-up computed from 3 ETFs tracked by SecuritiesDB. Actual passive ownership is higher (includes mutual funds, pension funds, etc.).
XERS Capital Efficiency
How efficiently does XERS convert operating profits into free cash? The FCF Conversion ratio measures the gap between accounting earnings and real cash generation.
XERS converts 66% of its EBITDA into free cash flow, an exceptional conversion rate indicating an asset-light business model with minimal capital reinvestment drag.
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 | 17,329 | $6.37 | $110,385.73 |
| 2026-04-09 | 1,440 | $5.92 | $8,524.8 |
| 2026-03-31 | 18,435 | $5.60 | $103,236 |
| 2026-03-12 | 3 | $5.73 | $17.19 |
| 2026-02-23 | 35 | $6.61 | $231.35 |
| 2026-01-20 | 8,000 | $7.52 | $60,160 |
| 2025-12-10 | 3,460 | $7.01 | $24,254.6 |
| 2025-12-05 | 700 | $6.72 | $4,704 |
| 2025-12-04 | 350 | $6.73 | $2,355.5 |
| 2025-11-19 | 1,963 | $7.08 | $13,898.04 |
| 2025-11-17 | 326 | $7.18 | $2,340.68 |
| 2025-11-12 | 3,040 | $7.44 | $22,617.6 |
| 2025-11-06 | 28,142 | $9.87 | $277,761.54 |
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 XERS 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.