Shopify Inc. (SHOP)
Quantitative Summary
DeterministicSHOP trades at 116.4x earnings — a 79% premium to its sector average of 65.0x — without a dominant ROIC-WACC spread. Financial health is average: Piotroski 5/9, Altman Z 52.4. DCF fair value of $56 implies 52% downside based on model assumptions.
Generated deterministically from quant metrics and financial statements. Not a recommendation.
Algorithmic Teardown
AI-GeneratedThe fundamental economics of this entity present a dichotomy between robust top-line expansion and thinning profitability efficiency. While revenue growth accelerates at 30.1% annually, the DuPont decomposition reveals that Return on Equity is driven primarily by high asset turnover (0.76x) rather than margin compression or leverage, as equity multipliers remain modest at 1.13x despite net margins holding steady near 10.7%. Creditworthiness appears solid with an Altman Z-Score of 56.0 and a negative Beneish M-Score of -2.22 suggesting low earnings manipulation risk; however, the Piotroski F-Score of 5/9 indicates moderate financial strength without recent significant deterioration or improvement in operational metrics. This growth-at-all-costs trajectory is reflected in a massive implied free cash flow growth rate of 49.9% over ten years, yet profitability factor scores (RMW: -0.797) flag underlying weakness relative to sector peers who typically sustain higher margins on similar revenue bases.
Valuation metrics suggest the market is pricing in an exceptionally aggressive growth narrative that may not align with intrinsic value calculations. The current P/E ratio of 127.2x vastly outstrips historical norms and implies a premium for future earnings power, while DCF modeling indicates a fair value of $18, translating to -84.5% downside from present levels if growth assumptions normalize. This steep valuation gap is consistent with the stock's heavy exposure to the Growth factor (HML: -0.255), which has historically penalized high-multiple names during mean-reversion cycles. The disconnect between current pricing and DCF-derived fair value suggests that any deceleration in revenue or margin expansion could trigger a significant multiple contraction, as the stock lacks the profitability buffer typically required to sustain such elevated multiples without continuous acceleration.
Risk-adjusted performance data reveals conflicting signals regarding future alpha generation. Despite generating a substantial Fama-French annualized alpha of 14.08%, which indicates outperformance relative to standard factor models, this metric is counterbalanced by negative exposure to both the Value and Profitability factors. Recent insider activity shows $146.8 million in net buying over ninety days, potentially signaling confidence in long-term prospects or accumulation at current levels; however, this must be weighed against the structural risks embedded in the -0.797 profitability factor score. The convergence of extreme valuation compression risk and mixed fundamental quality factors creates a scenario where realized returns will depend heavily on whether future earnings growth can justify the 127x multiple before mean reversion forces a correction toward DCF-implied levels.
Generated by LLM from quantitative data inputs. May contain inaccuracies. Not investment advice.
DCF Sandbox
Interactive5-year two-stage DCF. Terminal growth 3%. Default sliders match the pre-computed base case. Drag to explore scenarios. Not investment advice.
The growth rate the market implicitly expects over the next 10 years to justify today's price. Compare with historical growth of 30% YoY revenue.
Sensitivity Matrix
| TG ↓ / WACC → | 8% | 10% | 12% |
|---|---|---|---|
| 2% | $68 | $50 | $39 |
| 3% | $79 | $56 | $43 |
| 4% | $96 | $63 | $47 |
Center = base case. Green = >10% upside, Red = >10% downside vs $117.01.
Pre-computed DCF: WACC=10.0%, terminal growth 3%. Fair value $56 (-51.7%). Not investment advice.
Valuation Context
Currently trading 40% above its 5-year average P/E of 84.5x.
Price Chart with Moving Averages
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.
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 ARKF or EWC, the fund manager is mechanically forced to buy or sell SHOP shares regardless of Shopify Inc.'s individual fundamentals. We estimate $4.7B of passive capital is structurally linked to SHOP through 8 tracked ETFs. Index rebalances and ETF creation/redemption cycles can create noticeable volume spikes unrelated to company news.
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 Shopify Inc. to visualize passive redemption contagion across ETFs and collateral stocks.
If Shopify Inc. (SHOP) experiences a significant drawdown, ETF redemptions can create collateral selling pressure on co-held stocks. Our model identifies TESLA INC (TSLA) as the most exposed collateral stock, sharing 3 ETFs with SHOP. This is the "Passive Contagion" effect described in the Inelastic Market Hypothesis.
Contagion model based on shared ETF exposure and constituent weights across 13 tracked ETFs. Estimated selling pressure is a simplified model — actual impact depends on market liquidity, ETF redemption mechanics, and market-maker activity.
SHOP Ownership Dynamics
Passive funds hold 1 in every 31 SHOP shares, reducing daily market volatility.
Shopify Inc. (SHOP) exerts measurable gravity on the passive index market, currently representing 9.7% of the ARKF (ARKF) and 4.9% of the EWC (EWC). Across 12 tracked ETFs, approximately 40M shares (3.2% 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 SHOP Exposure
Float lock-up computed from 12 ETFs tracked by SecuritiesDB. Actual passive ownership is higher (includes mutual funds, pension funds, etc.).
SHOP 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 Shopify Inc. over the past year sits near $113.84 (11% of 252-day volume). The current price of $117.01 trades 2.8% above this institutional floor — a sign of upside momentum, though a pullback to the POC zone is a common reversion target.
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.
SHOP Capital Efficiency
How efficiently does Shopify Inc. convert operating profits into free cash? The FCF Conversion ratio measures the gap between accounting earnings and real cash generation.
Shopify Inc. converts 105% 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 |
|---|---|---|---|
| 2026-05-12 | 4 | $102.54 | $410.16 |
| 2026-05-11 | 38 | $110.41 | $4,195.58 |
| 2026-05-08 | 7,930 | $111.74 | $886,098.2 |
| 2026-05-04 | 1,279 | $127.67 | $163,289.93 |
| 2026-05-01 | 105,000 | $121.13 | $12.7M |
| 2026-04-30 | 1 | $121.26 | $121.26 |
| 2026-04-29 | 100 | $122.05 | $12,205 |
| 2026-04-27 | 78,675 | $125.83 | $9.9M |
| 2026-04-23 | 267 | $131.96 | $35,233.32 |
| 2026-04-22 | 5,019 | $131.13 | $658,141.47 |
| 2026-04-21 | 34,941 | $135.14 | $4.7M |
| 2026-04-20 | 26,410 | $131.15 | $3.5M |
| 2026-04-17 | 882 | $126.94 | $111,961.08 |
| 2026-04-15 | 28 | $117.64 | $3,293.92 |
| 2026-04-13 | 1 | $110.79 | $110.79 |
| 2026-04-08 | 26 | $117.06 | $3,043.56 |
| 2026-04-06 | 560 | $118.25 | $66,220 |
| 2026-04-02 | 33 | $118.52 | $3,911.16 |
| 2026-03-31 | 881 | $111.77 | $98,469.37 |
| 2026-03-26 | 647 | $118.42 | $76,617.74 |
| 2026-03-24 | 157 | $121.10 | $19,012.7 |
| 2026-03-17 | 1,911 | $126.58 | $241,894.38 |
| 2026-03-13 | 5,820 | $126.17 | $734,309.4 |
| 2026-03-11 | 212 | $129.36 | $27,424.32 |
| 2026-03-10 | 525 | $133.50 | $70,087.5 |
| 2026-03-09 | 8,980 | $130.20 | $1.2M |
| 2026-03-06 | 140 | $134.79 | $18,870.6 |
| 2026-03-05 | 1,241 | $129.65 | $160,895.65 |
| 2026-03-03 | 6,269 | $119.38 | $748,393.22 |
| 2026-03-02 | 4,291 | $120.73 | $518,052.43 |
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.
SEC Comment Letters
SEC correspondence with the company regarding their filings. Comment letters often flag disclosure deficiencies, accounting concerns, or material omissions.
Source: SEC EDGAR correspondence. Comment letters are public records of SEC staff review of company filings.
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 | |
| TRMB | 0.573 | 0.616 | Moderate |
| KKR | 0.508 | 0.471 | Moderate |
| APP | 0.500 | 0.632 | Moderate |
| ANET | 0.498 | 0.397 | Moderate |
| SOFI | 0.491 | 0.567 | Moderate |
| ABNB | 0.485 | 0.518 | Moderate |
| AMZN | 0.484 | 0.455 | Moderate |
| EXTR | 0.483 | 0.292 | Moderate |
| HOOD | 0.482 | 0.610 | Moderate |
Pearson correlation of daily log returns. 252d ≈ 1 trading year. Computed from price history. Not investment advice.
Compare SHOP 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.