Apellis Pharmaceuticals, Inc. (APLS)
Quantitative Summary
DeterministicAPLS trades at 224.4x earnings — a 244% premium to its sector average of 65.2x — without a dominant ROIC-WACC spread. Strong operational fundamentals (Piotroski 7/9) with Altman Z of 2.4.
Generated deterministically from quant metrics and financial statements. Not a recommendation.
Algorithmic Teardown
AI-GeneratedThe fundamental economics of Apellis Pharmaceuticals present a distinct dichotomy between operational efficiency and capital deployment. While the firm demonstrates robust top-line expansion with revenue growing 28.5% year-over-year, supported by exceptional gross margins at 89.8%, its return on invested capital trails its weighted average cost of capital by 0.5%. This negative ROIC-WACC spread indicates that current operations are destroying value relative to the required rate of return, a concern underscored by an Altman Z-Score of 2.4 which suggests proximity to financial distress boundaries despite a strong Piotroski F-Score of 7/9 and low manipulation risk indicated by a Beneish M-Score of -2.45. The DuPont decomposition reveals that while margin expansion is intact, the inability to generate returns exceeding the cost of capital limits equity value creation in the current cycle.
Valuation metrics reflect significant market skepticism regarding future cash flow generation relative to historical norms and sector peers. Trading at a price-to-earnings multiple of 224.4x compared to a sector average of 37.5x, the stock commands an extreme premium that appears disconnected from its current profitability profile. A discounted cash flow analysis implies a fair value of $9, suggesting the market is pricing in substantial future growth or turnaround potential not yet realized in earnings; however, this valuation assumes successful execution to reverse the negative capital allocation spread observed today. The disparity between the high multiple and the DCF-derived floor highlights the risk that current expectations may be overly optimistic given the underlying return profile.
The risk-reward landscape is heavily skewed by the tension between strong revenue momentum and deteriorating capital efficiency metrics. While the low Beneish M-Score provides confidence in earnings quality, the negative spread between returns on invested capital and the cost of debt/equity implies that future value creation depends entirely on operational leverage or significant margin improvement rather than current asset utilization. Investors must weigh the high-growth trajectory against the structural inability to generate risk-adjusted positive returns at present levels, noting that any failure to address the ROIC deficit could precipitate a sharp re-rating toward intrinsic values implied by fundamental models.
Generated by LLM from quantitative data inputs. May contain inaccuracies. Not investment advice.
DCF Sandbox
InteractiveSensitivity Matrix
| TG ↓ / WACC → | 6% | 7.7% | 9.7% |
|---|---|---|---|
| 2% | $11 | $8 | $6 |
| 3% | $14 | $9 | $7 |
| 4% | $20 | $11 | $8 |
Center = base case. Green = >10% upside, Red = >10% downside vs —.
Pre-computed DCF: WACC=7.7%, terminal growth 3%. Fair value $9 (+0.0%). Not investment advice.
Valuation Context
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 VBK or VHT, the fund manager is mechanically forced to buy or sell APLS shares regardless of Apellis Pharmaceuticals, Inc.'s individual fundamentals. We estimate $66M of passive capital is structurally linked to APLS through 3 tracked ETFs. Passive flows have a limited but growing influence on APLS'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 Apellis Pharmaceuticals, Inc. to visualize passive redemption contagion across ETFs and collateral stocks.
If Apellis Pharmaceuticals, Inc. (APLS) 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 APLS. 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.
APLS Ownership Dynamics
ETFs with Highest APLS Exposure
Float lock-up computed from 7 ETFs tracked by SecuritiesDB. Actual passive ownership is higher (includes mutual funds, pension funds, etc.).
APLS Capital Efficiency
How efficiently does Apellis Pharmaceuticals, Inc. convert operating profits into free cash? The FCF Conversion ratio measures the gap between accounting earnings and real cash generation.
Apellis Pharmaceuticals, Inc. converts 64% of its EBITDA into free cash flow, an exceptional conversion rate indicating an asset-light business model with minimal capital reinvestment drag. However, the ROIC-WACC spread is negative (-0.5%), 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 |
|---|---|---|---|
| 2026-05-07 | 9,440 | $41.12 | $388,172.8 |
| 2026-05-06 | 7,687 | $40.97 | $314,936.39 |
| 2026-05-04 | 33,636 | $40.96 | $1.4M |
| 2026-04-30 | 28,566 | $40.95 | $1.2M |
| 2026-04-29 | 555,013 | $40.99 | $22.7M |
| 2026-04-28 | 162 | $40.95 | $6,633.9 |
| 2026-04-27 | 162 | $40.94 | $6,632.28 |
| 2026-04-22 | 39,752 | $40.94 | $1.6M |
| 2026-04-21 | 914 | $40.94 | $37,419.16 |
| 2026-04-20 | 14,078 | $40.90 | $575,790.2 |
| 2026-04-16 | 110 | $40.85 | $4,493.5 |
| 2026-04-09 | 6,609 | $40.69 | $268,920.21 |
| 2026-04-08 | 5,763 | $40.70 | $234,554.1 |
| 2026-04-07 | 22,198 | $40.63 | $901,904.74 |
| 2026-04-06 | 16,595 | $40.41 | $670,603.95 |
| 2026-04-02 | 18,142 | $40.39 | $732,755.38 |
| 2026-04-01 | 123,328 | $40.23 | $5.0M |
| 2026-03-31 | 40,570 | $17.09 | $693,341.3 |
| 2026-03-27 | 335 | $17.64 | $5,909.4 |
| 2026-03-26 | 2,298 | $17.72 | $40,720.56 |
| 2026-03-24 | 12,687 | $17.57 | $222,910.59 |
| 2026-03-23 | 3,478 | $17.21 | $59,856.38 |
| 2026-03-18 | 1,652 | $18.82 | $31,090.64 |
| 2026-03-17 | 25,265 | $18.87 | $476,750.55 |
| 2026-03-13 | 66,601 | $18.39 | $1.2M |
| 2026-03-04 | 29,926 | $20.16 | $603,308.16 |
| 2026-03-03 | 14,960 | $20.70 | $309,672 |
| 2026-02-27 | 7,661 | $21.64 | $165,784.04 |
| 2026-02-20 | 22,811 | $22.80 | $520,090.8 |
| 2026-02-18 | 87 | $21.57 | $1,876.59 |
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 APLS 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.