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Technology · Equity Analysis
Shopify Inc. (SHOP) Stock Analysis - DCF Valuation & AI Disruption Risk
By Anton Ladnyi, CFA · ex-Goldman Sachs · ex-J.P. MorganPublished Updated
SHOP — Q2 2026 (reported Aug 5, later than the previously expected Jul 29) delivered a broad beat that sent shares up 26% premarket after a rough stretch (down ~25% YTD heading into the print): GMV $115.57B (+32% YoY), revenue $3.58B (+34% YoY, beat $3.45B consensus), gross profit $1.71B (+31%), and free cash flow $654M at an 18% margin; Q3 guidance calls for low-30s% revenue growth and mid-to-high-20s% gross profit growth, both above prior Street expectations.
Quantitative model rating — not individualized investment advice.
How Is This Rating Calculated?
A.L. Capital Advisory Equity Composite model · calculated 2026-08-08. Four calculation steps, in order — steps 1, 2 and 4 are rules-based; step 3 is a disclosed qualitative analyst overlay mapped to a fixed numerical scale:
1. Margin of safety → quantitative grade
SHOP's margin of safety is -15.95% (base case $131 vs. price $151.57). Margin of safety here is defined as (fair value − price) / fair value — this is the formula the quant grade below is actually assigned from. It is not the same figure as the gauge's "Upside to Base" pill above, which uses (fair value − price) / price and will read a larger number for the same inputs. For comparison, the pure (unblended) DCF output alone implies a margin of safety of -503.14% (pure DCF base $25 vs. price $151.57) — the gap between this and the -15.95% blended figure above reflects the analyst-consensus blend.
Blended valuation margin-of-safety bands
Margin of safety
Quant grade
Score
MOS > 20.00%
Strong Buy
5.0
10.00% < MOS ≤ 20.00%
Buy
4.0
−10.00% < MOS ≤ 10.00%
Hold
3.0
−20.00% < MOS ≤ −10.00%
Reduce
2.0
MOS ≤ −20.00%
Avoid
1.0
2. Auto fundamental penalty
P/E 62x in 50–80x range (elevated valuation): -0.5 · total: -0.5
Automatic fundamental-penalty rules
Rule
Threshold
Penalty
P/E extreme
Forward (or trailing) P/E > 80x
−1.0
P/E elevated
Forward (or trailing) P/E 50–80x
−0.5
Earnings deterioration, significant
Earnings growth < −20%
−1.0
Earnings deterioration, mild
Earnings growth −5% to −20%
−0.5
Stagnant top-line
Revenue growth < 3%
−0.5
Unsustainable dividend
Payout ratio > 120%
−0.5
Rules are cumulative (multiple can fire on the same ticker) and purely mechanical — no analyst judgment is involved in step 2.
3. Thesis conviction modifier
Analyst conviction: high · modifier: +0.60. This is a qualitative analyst judgment on the written thesis, mapped to a fixed numeric modifier below — it is not algorithmically derived from a measurable indicator.
Analyst-conviction modifier scale
Conviction level
Modifier
Very High
+1.00
High
+0.60
Medium
+0.00
Low
-0.60
Very Low
-1.00
General guidance for the assigning analyst (not an algorithmic rule — conviction is assigned by editorial judgment on the written thesis, not computed): Very High/High — multiple thesis pillars confirmed by the most recent reported quarter, no unresolved red flags. Medium — mixed evidence, or a thesis not yet differentiated enough to lean either direction. Low/Very Low — one or more thesis pillars deteriorating, or a material data-quality concern. Assigned and reviewed each time the underlying thesis is updated (see the thesis "last updated" date on this page).
This is the exact formula the model runs — not a post-hoc explanation. Source: composite_grade.py, A.L. Capital Advisory Equity Composite.
SHOP Price Target & Rating
SHOP's quantitative grade is Reduce, with elevated downside risk (CVaR -34.6%), and quality metrics (net margin 15%, ROE 16%). Shopify Inc. (SHOP) trades at $151.57 with a Reduce composite rating: a trailing P/E of 99.7x at a 212% premium to sector median, net margins of 14.5%, a blended fair-value range of $83–$174 suggesting a -16% margin of safety, beta 2.59 (highly aggressive risk profile).
What Is SHOP's DCF Intrinsic Value and Blended Fair Value Range?
SHOP's blended fair-value range is $83–$174 (base case $131), against a current price of $151.57.
SHOP blended fair-value gauge — bear case $83, base case $131, bull case $174, current price $151.57.
Price & DCF data as of
How Does SHOP's Margin of Safety Change as the Price Moves?
Drag to simulate SHOP's price moving between the blended bear ($83) and bull ($174) fair-value anchors — left for a price fall, right for a rise — and see how the margin of safety vs A.L. Capital Advisory's $131 blended base-case fair value changes. Starting point: the page's as-of price of $151.57 on 2026-08-08.
DCF Assumptions
Two-stage earnings-based DCF on forward EPS of $2.44 (Yahoo Finance forwardEps: provider-aggregated next-fiscal-year consensus estimate, not a fixed trailing-12-month window): explicit 5-year forecast at the stage-1 growth rate below, discounted at the CAPM cost of equity, plus a Gordon Growth terminal value at the terminal growth rate, also discounted at the CAPM cost of equity. This model discounts projected EPS — an equity-level metric — directly, not free cash flow, so the cost of equity is the theoretically correct discount rate; this is not a debt-weighted WACC (no cost of debt or capital-structure weighting is applied). Source: A.L. Capital Advisory DCF engine (api.py).
DCF assumptions by scenario
Input
Bear
Base
Bull
Stage-1 (near-term) growth
6.30%
14.00%
21.00%
Terminal growth
3.00%
3.00%
3.00%
CAPM cost of equity (discount rate)
18.00%
18.00%
16.56%
Forecast horizon
5 years
5 years
5 years
CAPM cost of equity = risk-free rate (4.66%, a live 10-year Treasury yield (Yahoo Finance ^TNX) fetched at page-generation time, 2026-08-08T11:25:00+00:00 UTC) + beta (2.50) × 5.5% equity risk premium, floored at 6% and capped at 18%. Stage-1 growth is a sector-level base rate (bear/bull apply 0.45x/1.50x multipliers); terminal growth is held constant across scenarios. Bear/bull cost of equity applies a ±8% relative adjustment to the base rate, clamped to the same 6–18% band.
The DCF output above is not the final intrinsic value shown elsewhere on this page. It is blended with the Wall Street analyst consensus price target to avoid extreme single-model divergence, weighted by analyst coverage depth (46 analysts covering this stock → 25.00% DCF / 75.00% consensus). The blended figure is the intrinsic value used for margin-of-safety and the composite rating.
DCF-to-intrinsic-value blend by scenario
Scenario
Pure DCF value
Analyst target used
Blended intrinsic value (displayed)
Bear
$18.97
$105.00
$83.49
Base
$25.13
$165.91
$130.72
Bull
$36.03
$220.00
$174.01
Blended value = (25.00% × pure DCF) + (75.00% × analyst target). Bear/bull scenarios blend against the analyst low/high target rather than the mean.
Analyst-coverage-to-consensus-weight tiers
Analyst coverage
Weight
0–1 analysts
0.00% consensus / 100.00% DCF
2–4 analysts
40.00% consensus / 60.00% DCF
5–19 analysts
65.00% consensus / 35.00% DCF
20+ analysts
75.00% consensus / 25.00% DCF
The consensus weight is a fixed step function of analyst coverage depth (above), not adjusted for target age, dispersion, or outliers — the mean/low/high analyst targets are used as reported by the data provider with no filtering.
Key Takeaways
Valuation: Reduce grade — P/E 99.7x — blended fair-value range $83–$174 implies -16% margin of safety
Risk: CVaR -34.6% (95th percentile, 1-month) indicates moderate tail exposure; beta of 2.59 amplifies broad market moves in both directions
Strengths: Size 4.0/5, 15% net margin, 16% ROE dominate the factor profile
Catalyst: Q3 2026 earnings (expected late October/early November 2026) — test of whether low-30s% revenue growth guidance holds; continued Universal Commerce Protocol adoption and AI-agent checkout GMV contribution; merchant solutions mix trajectory
Bear catalyst: Q3 revenue growth decelerates back toward the mid-20s% or below; gross profit growth misses guidance; FCF margin compresses meaningfully on renewed platform investment
SHOP — Quantitative SnapshotAugust 2026
RatingReduce
Price$151.57
Why ReduceModestly above estimated intrinsic value — risk/reward skewed to the downside at current price; watch for a pullback to the Hold boundary
Main riskP/E of 99.7x creates asymmetric downside on any earnings disappointment
Tail riskCVaR -34.6% over one month at the 95th percentile
Blended fair-value range$83–$174 blended fair-value range; margin of safety -16%
Best useCore large-cap Technology holding — not a source of diversified sector exposure
Next watchEarnings surprise deceleration trend — monitor next quarter delivery closely
How Does SHOP Score on the Five-Factor Quantitative Model?
SHOP's composite five-factor score is 2.8/5, led by Size (4.0/5) and weakest on Value (2.0/5).
SHOP five-factor radar — Value 2.0, Quality 3.0, Momentum 3.0, Volatility 2.0, Size 4.0 (out of 5).
Value
2.0 / 5
Quality
3.0 / 5
Momentum
3.0 / 5
Volatility
2.0 / 5
Size
4.0 / 5
SHOP Five-Factor Quantitative Scores
Factor
Score
Value
2.0 / 5
Quality
3.0 / 5
Momentum
3.0 / 5
Volatility
2.0 / 5
Size
4.0 / 5
What Is SHOP's AI-Era Durability and Disruption Risk?
Moderate
Shopify carries no ai_infra tag on this site, but its 2026 results show a real, monetizing AI story: Q1 2026 revenue rose 34% y/y to $3.17 billion on GMV of $101 billion, and Q2 2026 sustained more than 30% growth across GMV, revenue, gross profit, and free cash flow (18% FCF margin), with AI-driven storefront traffic up roughly 8x y/y and AI-search-originated orders up nearly 13x. The company has structured over 1 billion products with clean, real-time attributes so AI agents can surface Shopify-catalog listings more reliably, and it co-developed the Universal Commerce Protocol with Google -- since joined by Amazon, Meta, Microsoft, Salesforce, and Stripe -- while deliberately keeping checkout on its own Shop Pay rails rather than ceding it to OpenAI's Instant Checkout. The risk is that agentic commerce remains an unproven distribution channel: AI-referred orders, while growing fast off a small base, are not yet disclosed as a discrete revenue line, and Shopify's dependence on AI platforms for discovery could become a new platform-risk vector if those platforms route commerce through their own checkout instead. Watch whether AI-originated GMV becomes large enough for Shopify to break out separately.
Key Metrics
SHOP Key Metrics — Shopify Inc. 2026
Metric
Value
Current Price
$151.57
P/E Ratio (TTM)
99.7x
Forward P/E
62.1x
PEG Ratio
0.91x
P/S Ratio
14.7
EV/EBITDA
79.4
Beta
2.59
Net Margin
14.5%
ROE
15.5%
Debt/Equity
1.4%
CVaR (95%, 1M)
-34.6%
Market Cap
$195.0B
1-Month CVaR Methodology
The 1M CVaR-95 figure shown in Key Metrics, the peer comparison table and this page's hero card is computed as follows:
Lookback: most recent 1 year of daily prices.
Return input: daily log returns on dividend/split-adjusted close prices.
Confidence level: 95% (worst 5% of the resulting rolling-month observations).
Quantile convention: floor-based cutoff — the worst floor(N × 0.05) rolling-month observations (minimum 1), not a rounded or interpolated percentile.
CVaR: arithmetic mean of that worst-5% tail, expressed as a percentage.
Corporate actions: reflected via adjusted-close pricing (dividends and splits are accounted for).
1M CVaR-95 by lookback window
Method
1M CVaR-95
Trailing 1-year historical
-34.6%
Trailing 3-year historical
-27.8%
Trailing 5-year historical
-42.8%
The 1-year figure is what appears elsewhere on this page. Because it is built from overlapping 21-day windows over a single year, it reflects roughly the last ~11 non-independent tail events and is sensitive to the specific market regime of that year — treat it as a trailing-window historical estimate, not a structurally stable long-run risk parameter. The 3- and 5-year figures use the same methodology over longer, more regime-diverse histories.
This is a separate calculation from the 1-Day VaR/CVaR shown in the Tail Risk Profile chart below, which uses raw (non-overlapping) daily returns rather than rolling monthly sums — see that chart's own methodology note for the daily-horizon convention.
Tail Risk Profile
Historical Simulation · Daily Log Returns
SHOP — Daily Return Distribution
Shopify Inc. · 250 trading days · CVaR illustrated on real data
Aug 2025 – Aug 2026
Daily log returns
95%
-6.11%
1-Day VaR · 95%
95th-percentile loss threshold
-8.26%
1-Day CVaR · 95%
Avg loss in tail
13
Days in tail
of 250 sessions
250
Daily returns
Aug 2025 – Aug 2026
Historical VaR uses the nearest-rank convention: the worst observation within the tail (empirical (1−confidence) fraction of trading days). Historical CVaR is the arithmetic mean of all observations at or below that VaR threshold — so VaR is always included inside the CVaR tail, not one observation outside it.
Anton Ladnyi, CFA · A.L. Capital AdvisoryUpdated 2026-08-08
Rating Rationale
SHOP — Q2 2026 (reported Aug 5, later than the previously expected Jul 29) delivered a broad beat that sent shares up 26% premarket after a rough stretch (down ~25% YTD heading into the print): GMV $115.57B (+32% YoY), revenue $3.58B (+34% YoY, beat $3.45B consensus), gross profit $1.71B (+31%), and free cash flow $654M at an 18% margin; Q3 guidance calls for low-30s% revenue growth and mid-to-high-20s% gross profit growth, both above prior Street expectations.
Investment Thesis
↑ Bull Case
GMV, revenue, gross profit, and free cash flow all grew above 30% simultaneously — as President Harley Finkelstein put it, 'more than 30% growth in GMV AND revenue AND gross profit AND free cash flow,' a rare combination of scale and efficiency that beat consensus across every major metric, not just one
GMV growth of 32% accelerated on top of an already-strong prior-year comparison, and has now averaged 32.4% YoY over the trailing four quarters — this is sustained acceleration, not a single easy comp quarter
Free cash flow margin of 18% on $654M FCF shows the AI/agentic-commerce investment cycle (Universal Commerce Protocol, Catalog, Sidekick) is not diluting profitability even as the company scales new infrastructure
Q3 guidance of low-30s% revenue growth (above the 26.3% Street estimate) and mid-to-high-20s% gross profit growth (above the 24.1% estimate) signals management sees this quarter's acceleration as durable into Q3, not a one-off beat
Merchant solutions revenue of $2.78B continues to scale as the higher-margin payments/capital/shipping mix grows, while subscription solutions ($802M) provides a stable recurring base underneath the faster-growing merchant-solutions line
The 26% single-day stock move after a ~25% YTD decline into the print suggests the market had priced in meaningful deceleration risk that did not materialize — a significant reset in sentiment on one quarter's results
↓ Bear Case
The stock's 25% YTD decline heading into this print shows the market had real, not manufactured, concerns about growth durability — one strong quarter resets sentiment but doesn't yet prove multi-year durability at 30%+ growth rates against increasingly difficult comps
A single-day 26% rally is a large repricing event; if Q3's low-30s% guided growth merely meets rather than beats expectations, the stock has limited room to avoid giving back some of this move
Merchant solutions' growing share of the revenue mix (now the majority) carries payments/lending credit exposure that a pure software/subscription model does not — any consumer spending slowdown flows more directly through GMV-linked merchant solutions revenue
AI-driven commerce infrastructure investment (Universal Commerce Protocol, agentic checkout) is still early-stage; the FCF strength this quarter needs to persist through continued platform investment for the AI-commerce thesis to fully play out
What Changes the Rating
↑Catalyst:Q3 revenue growth meets or exceeds the low-30s% guide with gross profit growth in the mid-to-high-20s% range; FCF margin holds at or above 18%; AI-driven storefront traffic/orders continue compounding
↓Model downgrade conditions:Q3 revenue growth decelerates back toward the mid-20s% or below; gross profit growth misses guidance; FCF margin compresses meaningfully on renewed platform investment
Anton’s personal note
The rating on SHOP is driven by a factor profile that is genuinely mixed — there is no clean narrative here, which is itself a signal worth taking seriously. The variable I track most closely is gross margin trajectory. That multiple can only be sustained if operating leverage is real — specifically whether the margin profile at scale supports what the market is already pricing in, or whether that future still needs to be earned. The scenario that changes my read is a genuine valuation reset — not a small pullback, but a re-rating that reflects the actual risk profile. Until that happens, the risk/reward is not there.
— Anton Ladnyi, CFA
Earnings History
SHOP Earnings History — EPS Surprise Rate 2026
Quarter
EPS Est. (consensus)
EPS Actual (adjusted, consensus basis)
Surprise
Q2 2026
$0.40
$0.42
+5.0% ✓
Q1 2026
$0.33
$0.36
+8.6% ✓
Q4 2025
$0.51
$0.48
-5.7% ✗
Q3 2025
$0.34
$0.34
+0.6% ✓
EPS Actual is on the same adjusted/non-GAAP basis as the consensus estimate it is compared against (excludes one-time items, consistent with how Wall Street EPS estimates are typically constructed) — it will generally differ from the company's GAAP diluted EPS as reported in its official financial statements. Verify the GAAP figure against the issuer's original earnings release if that basis is what you need.
How Has SHOP Performed vs. Wall Street EPS Estimates?
SHOP has beaten consensus EPS estimates in 3 of the last 4 reported quarters (75%).
SHOP quarterly EPS — estimate vs. actual, 4 most recent reported quarters, 75% beat rate.
Earnings Projections
SHOP Forward EPS Consensus Estimates 2026
Quarter
EPS Est.
YoY EPS
Analysts
Q3 2026
$0.46
+35.3%
32
Q4 2026
$0.65
+35.6%
29
Q1 2027
~$0.36
+0.0%
38
Q2 2027
~$0.61
+45.2%
40
~ Estimated from annual consensus — not a direct analyst survey
What Are Wall Street's EPS Estimates for SHOP?
Wall Street's next-quarter consensus EPS estimate for SHOP is $0.46.
SHOP consensus EPS estimates, next quarter $0.46, 4 quarters shown.
SHOP — P/E 99.7x · Beta 2.59 • Composite rating: Reduce • CVaR from one-year daily history · historical simulation
Editorial Analyst Scenarios
Revenue growth × exit multiple (editorial, not mechanically reproducible from disclosed inputs) · hover each scenario for detail · current price $151.57
▼
Bear Case
$75
-50.5%
Implied NTM P/E: 36.0x (target ÷ next-4Q consensus EPS — distinct from the exit multiple below, which is applied to a later-year EPS estimate)
15% revenue CAGR · 8x exit multiple
◆
Base Case
$150
-1.0%
Implied NTM P/E: 72.1x (target ÷ next-4Q consensus EPS — distinct from the exit multiple below, which is applied to a later-year EPS estimate)
28% revenue CAGR · 13x exit multiple
▲
Bull Case
$210
+38.5%
Implied NTM P/E: 100.9x (target ÷ next-4Q consensus EPS — distinct from the exit multiple below, which is applied to a later-year EPS estimate)
35% revenue CAGR · 18x exit multiple
How Correlated Is SHOP With Its Sector Peers?
0 of 10 peer pairs correlated above 0.60, indicating meaningful historical diversification across the selected names, although all remain exposed to common equity, sector and macro factors.
SHOP pairwise correlation heatmap across 5 peers — 0 of 10 pairs above 0.60.
0 of 10 peer pairs correlated above 0.60, indicating meaningful historical diversification across the selected names, although all remain exposed to common equity, sector and macro factors.
Extended Analysis — Buy, Hold or Sell? Risk Factors. Portfolio Fit.
Is SHOP a buy, hold, or sell?
SHOP carries a quantitative grade of Reduce. The trailing P/E of 99.7 sits 212% above the Technology sector median of 32.0x — a premium that demands sustained earnings delivery. Our two-stage, EPS-based DCF model produces a pure model range of $19–$36. After blending with Street consensus targets, the displayed fair-value range is $83–$174 — implying a -16% margin of safety vs. blended base fair value at the current price of $151.57. The width of the range reflects genuine uncertainty in the terminal growth rate assumption: the correct framework is a probability-weighted distribution over scenarios, not a single point estimate. See the DCF valuation framework for full methodology.
The company has beaten estimates in 75% of the last 4 reported quarters. The most recent quarter delivered a 5.0% earnings surprise. Analyst estimate revisions are trending upward.
What are SHOP's key risk factors?
With a beta of 2.59, SHOP exhibits a highly aggressive risk profile relative to the broad market. The 95th-percentile CVaR of -34.6% on a one-month horizon should inform position sizing directly: at a 10% portfolio weight, this standalone tail outcome corresponds to approximately 3.5% of portfolio value before accounting for correlations with other holdings — not a marginal portfolio CVaR contribution, which depends on the full covariance structure. Net margins of 14.5% fall below the Technology sector average of 22%, suggesting margin pressure. Return on equity of 15.5% suggests solid capital efficiency. The balance sheet is conservatively leveraged at 1% debt-to-equity.
A put/call ratio of 0.94 indicates roughly balanced sentiment in the options market. Implied volatility of 52.7% is below realized volatility of 79.4%, potentially making options relatively cheap. Insider transactions show net buying of $775.3M over the disclosed transactions from 2026-06-03 to 2026-08-04, a signal often associated with management confidence. Short interest is low at 2.2% of float, suggesting limited bearish conviction.
How does SHOP fit in a diversified portfolio?
At typical HENRY portfolio weights — 10–20% of the equity allocation — SHOP carries a beta of 2.59, meaning it amplifies broad market moves proportionally. The appropriate weight is not a function of conviction alone, but of the full covariance structure across all holdings. See the Ledoit-Wolf covariance framework for the methodology behind these calculations.
Among closely correlated names, SHOP shows the strongest co-movement with EBAY (0.37), ETSY (0.30), AMZN (0.24). Investors seeking diversification should note these correlation dynamics when constructing multi-asset portfolios.
True portfolio risk is a function of the full covariance structure across all holdings — not individual stock metrics. The Portfolio Health Check quantifies this at the portfolio level: it surfaces hidden concentration, marginal CVaR contributions, and the degree to which your overall allocation deviates from an optimal risk-adjusted mandate. The SHOP analysis here is a single node in that larger structure.
For the portfolio construction framework underpinning SHOP’s position sizing and conviction rating — including IPS guardrails, Black-Litterman allocation, and CVaR constraints — see: Investment Policy Statement Framework →
Investor FAQ
What is SHOP's AI-Era Durability & Disruption Risk Score?
Shopify carries no ai_infra tag on this site, but its 2026 results show a real, monetizing AI story: Q1 2026 revenue rose 34% y/y to $3.17 billion on GMV of $101 billion, and Q2 2026 sustained more than 30% growth across GMV, revenue, gross profit, and free cash flow (18% FCF margin), with AI-driven storefront traffic up roughly 8x y/y and AI-search-originated orders up nearly 13x. The company has structured over 1 billion products with clean, real-time attributes so AI agents can surface Shopify-catalog listings more reliably, and it co-developed the Universal Commerce Protocol with Google -- since joined by Amazon, Meta, Microsoft, Salesforce, and Stripe -- while deliberately keeping checkout on its own Shop Pay rails rather than ceding it to OpenAI's Instant Checkout. The risk is that agentic commerce remains an unproven distribution channel: AI-referred orders, while growing fast off a small base, are not yet disclosed as a discrete revenue line, and Shopify's dependence on AI platforms for discovery could become a new platform-risk vector if those platforms route commerce through their own checkout instead. Watch whether AI-originated GMV becomes large enough for Shopify to break out separately.
What is SHOP's intrinsic value and DCF price target?
A.L. Capital Advisory's model produces a blended fair-value range (25% pure DCF, 75% analyst consensus for well-covered names) of $83 (bear case) to $174 (bull case) for Shopify Inc. (SHOP). At $151.57, the margin of safety vs. blended base case is -16% (positive = discount to fair value; negative = premium). The bear-to-bull spread reflects genuine sensitivity to the two dominant DCF inputs: the terminal growth rate and the CAPM cost of equity (this model discounts EPS, an equity-level metric, so the cost of equity rather than a debt-weighted WACC is the applicable discount rate). Terminal value typically accounts for 60-80% of total intrinsic value in most equity DCF models, which is why a range is more analytically sound than a point estimate. The central analytical question is not what the DCF outputs as a single number but which growth trajectory the current market price already discounts. All DCF analysis follows CFA Institute standards and is conducted by Anton Ladnyi, CFA (ex-Goldman Sachs, ex-J.P. Morgan) · A.L. Capital Advisory. Full methodology: DCF Valuation Framework →
Is SHOP a buy or sell in 2026?
Shopify Inc. (SHOP) carries a Reduce quantitative rating from A.L. Capital Advisory, set by Discounted Cash Flow margin-of-safety band with no analyst-conviction overlay applied. Five-factor model scoring (Value, Quality, Momentum, Volatility, Size) and CVaR tail risk measurement are shown separately on the page. At $151.57, the margin of safety vs. blended base fair value is -16% (blended fair-value range: $83 bear – $174 bull). That places the current price in the Fair Range zone of A.L. Capital Advisory's DCF framework, which sets the quantitative grade component that determines this rating. Composite factor score: 2.8/5. Strongest factor: Size (4.0/5). Weakest factor: Value (2.0/5). Trailing P/E: 99.7x. Analysis by Anton Ladnyi, CFA (ex-Goldman Sachs, ex-J.P. Morgan) · A.L. Capital Advisory. Full methodology: Rating Methodology (this page) →
What is the average analyst target price for SHOP?
Wall Street consensus target for SHOP: $165.91 (+9.5% upside from the current price of $151.57). The analyst target range spans $105.00 (most bearish) to $220.00 (most bullish). Consensus recommendation: Buy. Note that analyst price targets typically reflect a 12-month forward horizon and are derived from a blend of DCF, comparable-company, and sum-of-the-parts analysis. A.L. Capital Advisory's Reduce composite rating is calculated from the blended margin-of-safety grade, applicable automatic fundamental penalties, and a disclosed qualitative analyst-conviction overlay — not from five-factor scores or CVaR, which are supporting diagnostics shown elsewhere on this page. The displayed blended fair value combines the standalone DCF output with Street consensus for well-covered names (see the DCF Assumptions box for the exact blend weight), so it does not track Street consensus mechanically, but it is not fully independent of it either. When the composite rating and the Street consensus recommendation diverge, the divergence itself is informative: it can reflect differences in time horizon, valuation methodology, or the degree to which the current price already discounts the consensus case. Analysis by Anton Ladnyi, CFA (ex-Goldman Sachs, ex-J.P. Morgan) · A.L. Capital Advisory. Full methodology: Data & Sources (this page) →
How does SHOP score on Value, Quality, Momentum, Volatility, and Size?
SHOP five-factor scores (A.L. Capital Advisory, 1–5 scale): Value 2.0/5 (below average) — measures the trailing P/E multiple versus the sector median (not the DCF or blended fair-value range, which are separate metrics on this page); Quality 3.0/5 (neutral) — captures profitability metrics including return on equity (ROE: 15.5%) and net margin (14.5%) — sustained above-peer ROE and margins are the model's proxy for economic moat and pricing power; Momentum 3.0/5 (neutral) — reflects recent price trajectory and earnings surprise consistency; Volatility 2.0/5 (below average) — inverse measure derived from beta, where lower historical volatility earns a higher score; Size 4.0/5 (above average) — market capitalisation rank (mega-cap $1T+ scores 5/5). Composite: 2.8/5. Factor scores above 4.0 signal a tailwind in that dimension; below 2.0 signals a material headwind. Analysis by Anton Ladnyi, CFA (ex-Goldman Sachs, ex-J.P. Morgan) · A.L. Capital Advisory.
What is SHOP's tail risk and CVaR?
The 95th-percentile Conditional Value at Risk (CVaR) for SHOP on a one-month horizon is -34.6%. CVaR represents the expected average loss in the worst 5% of monthly outcomes — a more conservative tail risk measure than standard VaR, which only marks the loss threshold. Beta of 2.59 indicates above-market systematic sensitivity with amplified drawdown exposure — beta measures historical sensitivity to market moves, not total volatility. For reference, a diversified S&P 500 ETF carries a one-month CVaR of roughly -8% to -12% in normal market conditions; individual equity CVaR is higher due to idiosyncratic risk. At the portfolio level, what matters is the marginal CVaR contribution of each holding — not its standalone figure. The A.L. Capital Advisory Portfolio Health Check quantifies each position's marginal tail-risk contribution across your entire holdings. Analysis by Anton Ladnyi, CFA (ex-Goldman Sachs, ex-J.P. Morgan) · A.L. Capital Advisory. Full methodology: CVaR & Tail-Risk Methodology →
What would trigger a rating upgrade or downgrade for SHOP?
Upgrade trigger: Upgrade to Strong Buy on evidence of accelerating earnings surprise magnitude combined with improvement in the Value factor score — specifically if the current 99.7x P/E is supported by an upward revision to DCF terminal growth assumptions. Downgrade trigger: Continued earnings misses or deteriorating balance sheet quality reducing the Quality factor score below 2.0/5. These triggers are reassessed each time the underlying fundamentals, price, or earnings data refresh — the current Reduce rating is not held on a fixed review calendar. Analysis by Anton Ladnyi, CFA (ex-Goldman Sachs, ex-J.P. Morgan) · A.L. Capital Advisory. Full methodology: Rating Methodology (this page) →
Does SHOP consistently beat earnings estimates?
SHOP has beaten consensus EPS estimates in 3 of the 4 most recently reported quarters (75%) — indicating consistent delivery across the latest 4 reported quarters. The most recent reported quarter beat consensus by 5.0%. Sustained above-consensus delivery supports both the Momentum and Quality factor scores and provides a tailwind to the current rating. Across the 4 most recently reported quarters with valid consensus data, a beat rate above 70% signals consistent execution in this model, while a rate below 50% typically corresponds to a Momentum factor score of 3.0/5 or below. Earnings surprise magnitude and direction are incorporated into the Momentum and Quality dimensions of the five-factor scoring model. Analysis by Anton Ladnyi, CFA (ex-Goldman Sachs, ex-J.P. Morgan) · A.L. Capital Advisory. Full methodology: Earnings History (this page) →
How does SHOP contribute to portfolio risk and diversification?
SHOP carries a beta of 2.59 (high-volatility / growth-sensitive relative to the broad equity market). A beta above 1.0 means the position amplifies market moves in both directions at a typical portfolio weight. Strongest peer co-movement: EBAY (0.37), ETSY (0.30), AMZN (0.24). Holding SHOP alongside these names in the same portfolio increases concentration risk. True portfolio risk is a function of the full covariance structure — a single stock's beta does not reveal its marginal contribution to portfolio tail loss. The A.L. Capital Advisory Portfolio Health Check quantifies concentration risk (Herfindahl-Hirschman Index), pairwise correlations, and marginal CVaR contribution across all your holdings. If a single position such as this one makes up an outsized share of your net worth — employer stock, RSUs, or concentrated equity compensation — a Strategic Session builds the sequencing plan and the written allocation that follows from it. Analysis by Anton Ladnyi, CFA (ex-Goldman Sachs, ex-J.P. Morgan) · A.L. Capital Advisory. Full methodology: Ledoit-Wolf Covariance Framework →
What quantitative methodology does A.L. Capital Advisory use to analyse SHOP?
A.L. Capital Advisory analyses Shopify Inc. (SHOP) using a four-part quantitative research framework grounded in CFA Institute standards (not all four parts feed the composite rating formula directly — see below). (1) DCF Valuation: a two-stage earnings-based DCF that projects EPS (not free cash flow) under bear and bull assumptions, discounts at the CAPM cost of equity (the applicable rate for an equity-level metric like EPS, not a debt-weighted WACC) to produce an intrinsic value range with margin-of-safety calculation. (2) Five-Factor Scoring: each equity is scored 1–5 on Value, Quality, Momentum, Volatility, and Size. (3) CVaR Tail Risk: 95th-percentile Conditional Value at Risk from historical simulation of daily returns on a one-month horizon. (4) Earnings Surprise Analysis: quarterly beat rate and magnitude, shown for context alongside the factor scores. The current Reduce composite rating for SHOP is calculated separately from this broader framework: it consists of a Reduce quantitative grade, any automatic fundamental penalty, and a disclosed qualitative analyst-conviction overlay — see this page's Rating Methodology section for the exact formula. Five-factor scoring, CVaR and earnings surprise analysis below are supporting research diagnostics shown separately on this page; they are not direct numerical inputs into this specific composite-rating calculation. Analysis by Anton Ladnyi, CFA (ex-Goldman Sachs, ex-J.P. Morgan) · A.L. Capital Advisory. Full methodology: DCF Valuation Framework → · CVaR & Tail-Risk Methodology →
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Retrieved 2026-08-08T11:25:00+00:00 (UTC); see per-quarter analyst counts in Earnings Forecast; individual target ages/dates are not disclosed by the data provider
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[6] DCF valuation, five-factor model & composite rating
Calculated 2026-08-08T11:25:00+00:00 (UTC); see Rating Methodology above for the exact formula
Hand-authored thesis commentary (bull/bear case, catalysts, AI-Era Durability Score narrative) is cross-checked against the company's own investor-relations disclosures at time of writing; figures presented as A.L. Capital Advisory estimates are proprietary forecasts, not company guidance, unless explicitly attributed to the issuer.
Market-session status above is derived from the page's UTC generation time using standard NYSE hours (9:30am–4:00pm ET regular session); it does not account for US market holidays and may be inaccurate on those dates.
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Legal Disclaimer & Important Notices
This analysis is produced using a systematic quantitative framework applied to market data and does not constitute investment advice. Prose commentary is AI-assisted and generated from structured quantitative inputs. All data and metrics are as of 2026-08-08 and are point-in-time estimates subject to revision without notice. CVaR figures are based on historical simulation and do not guarantee future outcomes. DCF ranges and upgrade/downgrade triggers are forward-looking statements based on current assumptions and may not materialise. Past performance does not guarantee future results. This analysis does not account for individual circumstances, tax position, or investment objectives — consult a qualified financial advisor before making investment decisions. This content is intended for informational purposes only and does not constitute regulated investment advice under MiFID II or FCA guidelines. This content is not intended for US persons or residents of jurisdictions where its distribution would be contrary to local law or regulation. This service is not directed at residents of Finland, Sweden, Norway, Denmark, Iceland, or Poland. The author may hold long or short positions in securities mentioned in this analysis. Nothing on this page represents a solicitation to buy or sell any security. A.L. Capital Advisory is an independent private advisory practice and is not affiliated with Shopify Inc.
CFA Portfolio Advisory — SHOP
Discuss this analysis, position sizing, or your full portfolio mandate with Anton Ladnyi, CFA.
