Snap (SNAP) — Deep Dive¶
Prices as of the Mon 05 Oct 2026 close · data pulled 2026-10-06 07:32:00+00:00 · refreshed weekly · methodology
Not investment advice
Educational analysis built from public data (Yahoo Finance, Kenneth French Data Library) and explicit model assumptions. Numbers update automatically; the qualitative notes are dated.
Verdict: Hold — 4/8 checks pass
Snap is not yet free-cash-flow positive after stock compensation, with net debt of USD 1.6bn and consensus revenue of 6.8bn for FY2026 and 7.5bn for FY2027 (+10%). At USD 5.61 the base-case DCF of USD 10.46 (+86%) sits above the price; on the base growth path the price needs only a 7% owner-FCF margin (base case 12%).
| Check | Pass | Evidence |
|---|---|---|
| Valuation: base-case DCF at or above price | ✅ | base DCF USD 10 vs price USD 6 |
| Relative value: forward P/E at most 1.2x the peer median | ❌ | 44.0x FY2027E vs peer median 18.4x |
| Street: de-biased, shrunk analyst alpha > 0 (ch27) | ✅ | +3.0% |
| Momentum: 12-1 month return > 0 (ch11) | ❌ | -31% |
| Trend: price above 200-day MA (ch12) | ❌ | -0% vs 200DMA |
| Not overbought: RSI(14) below 70 | ✅ | RSI 54 |
| Fundamentals: revenue growing and FCF positive | ✅ | revenue +19% y/y, TTM FCF 0.7bn |
| Balance sheet: net cash | ❌ | net cash -1.6bn |
Snapshot¶
| Metric | Value | Metric | Value |
|---|---|---|---|
| Price | USD 5.61 | Market cap | USD 8.1bn |
| Enterprise value | USD 9.6bn | Net cash | USD -1.6bn |
| 52-week range | 3.93 – 9.09 | From 52w high | -38.3% |
| Trailing P/E (GAAP) | n/m | Forward P/E FY2026 / FY2027 | n/m / 44.0x |
| PEG (FY+1 P/E ÷ EPS growth) | n/a | EV / TTM revenue | 1.5x |
| TTM revenue | USD 6.4bn | TTM FCF / after SBC | 0.7bn / -0.3bn |
| Beta vs SPY (raw / Blume) | 1.05 / 1.03 | Realized vol 20d / 1y | 44% / 57% |
| Analysts / mean target | 35 / USD 7 (+31.8%) | Next earnings | 2026-11-04 |
| Shares out (diluted proxy) | 1.437bn | Short interest (% float) | 8.9% |
| Sector ETF benchmark | XLC | Cash runway (cash ÷ FCF burn) | n/a (FCF positive) |
| Institutions / insiders | 45% / 22.98% | Dividend | none |
1. Price over time¶
| Ticker | 1M | 3M | 6M | YTD | 1Y | 3Y | 5Y | 10Y | 10Y CAGR |
|---|---|---|---|---|---|---|---|---|---|
| SNAP | +3% | +18% | +19% | -30% | -34% | -35% | -92% | n/a | n/a |
| XLC | -0% | +2% | +0% | -4% | -3% | +73% | +45% | n/a | n/a |
| SPY | +1% | +3% | +18% | +15% | +17% | +87% | +91% | +321% | 15.5% |
| META | +20% | +24% | +30% | +13% | +5% | +137% | +125% | +483% | 19.3% |
| PINS | -2% | -10% | +10% | -23% | -37% | -29% | -60% | n/a | n/a |
| GOOGL | +2% | -5% | +16% | +11% | +42% | +154% | +157% | +773% | 24.2% |
| RDDT | -3% | -25% | +9% | -35% | -27% | n/a | n/a | n/a | n/a |
Largest one-day moves in the last 5 years: 24 May 2022 -43.1%, 22 Jul 2022 -39.1%, 04 Feb 2022 +58.8%, 07 Feb 2024 -34.6%, 21 Oct 2022 -28.1%.
2. Return and risk (ch.5)¶
Statistics use the 60 complete months to Sep 2026.
| Statistic | Value | What it means |
|---|---|---|
| Arithmetic mean (annualized) | -31.2% | Expected one-period return if the past repeats |
| Geometric mean (CAGR) | -40.7% | What a buy-and-hold investor actually earned; the gap ≈ σ²/2 is volatility drag |
| Standard deviation (annualized) | 61.5% | 3.9× the S&P 500's 15.7% |
| Skewness / excess kurtosis | -0.00 / 0.04 | Left-skewed, fat tails vs normal |
| 5% monthly VaR: historical / normal | -29.9% / -31.8% | One month in 20 loses at least this much |
| 5% monthly expected shortfall | -37.3% | Average loss in that worst 5% of months |
| Sharpe ratio (S&P 500) | -0.57 (0.67) | Excess return per unit of total risk |
| Sortino ratio | -0.72 | Excess return per unit of downside risk |
| Max drawdown, 5y | -95.3% (trough Mar 2026) | Currently -93.2% from the peak |
3. Index model, CAPM and factors (ch.8–10)¶
| Regression (60m excess returns) | Alpha (ann.) | t(α) | Beta | t(β) | R² | Residual σ |
|---|---|---|---|---|---|---|
| vs SPY | -45.8% | -1.69 | 1.05 | 2.11 | 0.07 | 59.1% |
| vs XLC | -41.2% | -1.57 | 1.12 | 2.69 | 0.11 | 57.8% |
- Risk decomposition (ch.8): systematic variance β²σ²(M) = 2.7% vs firm-specific σ²(e) = 35.0%, so 7% of the risk is market-driven and 93% is diversifiable.
- CAPM required return (ch.9): k = r_f + β × MRP = 4.02% + 1.05 × 5.5% = 9.8% (Blume-adjusted β 1.03 → 9.7%, used as the DCF discount rate).
- Historical alpha of -45.8% a year has a t-stat of -1.69: not statistically distinguishable from zero (ch.11: past alpha is a weak guide).
- Fama-French 5 factors + momentum (ch.10, 112 months to Jul 2026): R² 0.20, alpha -4.8% (t -0.25). Loadings: Mkt-RF +0.75 (t 2.1), SMB +0.62 (t 0.9), HML -0.67 (t -1.1), RMW -0.38 (t -0.6), CMA -1.02 (t -1.2), Mom -0.80 (t -1.8). The loadings describe a small-cap, growth, low-profitability return profile (SMB > 0 small-cap, HML < 0 growth, RMW < 0 weak profitability, CMA < 0 aggressive investment).
4. Portfolio fit: allocation and diversification (ch.6–7)¶
Correlation of monthly returns with SNAP (60m): XLC 0.34, SPY 0.28, META 0.15, PINS 0.44, GOOGL 0.41, RDDT 0.24.
- A 50/50 mix with SPY would have had volatility of 33.8% vs 38.6% for the weighted average of the two, a diversification benefit because ρ = 0.28 < 1.
- Optimal risky share y* = [E(r) − r_f] / (A·σ²), holding SNAP alone against T-bills (σ = 61.5%):
| Risk aversion A | y* with CAPM E(r) | y* with E(r) + Street α |
|---|---|---|
| 2 | 8% | 12% |
| 3 | 5% | 8% |
| 4 | 4% | 6% |
| 6 | 3% | 4% |
Even a risk-tolerant investor would put only a modest share in a single stock this volatile. Ch.7–8 say the efficient choice is the market portfolio plus a Treynor-Black tilt (section 9), not a concentrated position.
5. Financial statements: quality of earnings (ch.19)¶
| Quarter | Revenue | Q/Q | Gross m. | Op. m. (GAAP) | Net m. | R&D % | SBC % | Diluted EPS | FCF | FCF m. | DSO (days) | DIO (days) |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2025-06 | 1.3bn | n/a | 51.4% | -19.3% | -19.5% | 33.0% | 18.7% | -0.16 | 0.02bn | 1.8% | 79 | n/a |
| 2025-09 | 1.5bn | +12% | 55.3% | -8.5% | -6.9% | 30.1% | 17.3% | -0.06 | 0.09bn | 6.2% | 75 | n/a |
| 2025-12 | 1.7bn | +14% | 59.1% | 2.9% | 2.6% | 27.5% | 15.0% | 0.03 | 0.21bn | 12.0% | 73 | n/a |
| 2026-03 | 1.5bn | -11% | 56.5% | -4.9% | -5.8% | 31.3% | 16.4% | -0.05 | 0.29bn | 18.7% | 71 | n/a |
| 2026-06 | 1.6bn | +5% | 58.2% | -10.7% | -10.3% | 33.9% | 16.5% | -0.10 | 0.12bn | 7.5% | 70 | n/a |
- DuPont, TTM: ROE -14.7% = net margin -4.9% × asset turnover 0.84 × leverage 3.55. Net income is negative, so ROE is negative; the business is not yet earning its cost of equity.
- Cash conversion: TTM operating cash flow 0.9bn vs net income -0.3bn. The accruals ratio of -16.3% of assets is negative (cash earnings exceed accounting earnings), a sign of high-quality earnings.
- Stock-based compensation of 1.0bn TTM (16.2% of revenue) is a real cost to shareholders. The valuation below uses FCF after SBC (owner FCF margin -5.1%). Buybacks were 0.9bn; share count changed -0.0% over the year.
- Operating leverage (ch.17): not meaningful: EBIT was negative or sales barely moved between the last two fiscal years.
6. Valuation (ch.18)¶
Multiples vs peers (Yahoo Finance, TTM and next-year; peers chosen by hand in config.json):
| Ticker | Fwd P/E | P/S TTM | EV/EBITDA | FCF yield | Rev. growth FY | Gross m. | EBIT m. | ROE TTM | Target upside |
|---|---|---|---|---|---|---|---|---|---|
| SNAP | 44.0x | 1.5x | -75.6x | 8% | 19% | 57% | -3% | -16% | 32% |
| META | 21.3x | 8.3x | 17.4x | 1% | 28% | 82% | 35% | 30% | 7% |
| PINS | 8.4x | 2.5x | 35.6x | 11% | 18% | 79% | -3% | 6% | 45% |
| GOOGL | 23.0x | 9.5x | 23.9x | 1% | 24% | 61% | 34% | 49% | 24% |
| RDDT | 15.5x | 10.4x | 32.7x | 2% | 61% | 91% | 29% | 31% | 42% |
| Peer median | 18.4x | 8.9x | 28.3x | 2% | 26% | 81% | 31% | 30% | 33% |
Growth embedded in the price (PVGO). With FY2027E EPS of USD 0.13 and k = 9.7%, the no-growth value E₁/k is USD 1.32. PVGO = USD 4.29, which is 77% of the price, so most of the value depends on growth beyond FY2027. No-growth P/E = 1/k = 10.3x vs the actual 44.0x.
Constant-growth check. On TTM owner FCF, P = FCF₁/(k − g) implies a perpetual growth rate of 13.2%, above the 4% long-run nominal-GDP ceiling the book recommends for g.
Scenario DCF (owner FCF, k = 9.7%, terminal g = 4%). The revenue path is FY2026 (6.8bn), then the FY2027 low/avg/high estimate, then growth that fades linearly to 4% over 8 years. Owner-FCF margin ramps from today's -5.1% to the scenario margin over 5 years. Scenario assumptions are generic (derived from consensus growth and today's owner-FCF margin).
| Scenario | FY2027 revenue | Growth after | Owner-FCF margin | FY2035 revenue | Terminal value share | Value / share | vs price |
|---|---|---|---|---|---|---|---|
| Bear | 7.2bn | 4% | 3% | 10bn | 84% | USD 0.91 | -84% |
| Base | 7.5bn | 8% | 12% | 12bn | 73% | USD 10.46 | +86% |
| Bull | 7.7bn | 13% | 19% | 15bn | 72% | USD 21.76 | +288% |
Reverse DCF: what today's price assumes. On the base revenue path the price requires a steady-state owner-FCF margin of 7%. At the base 12% margin it requires -5% growth after FY2027, or a discount rate of 13.0% (vs the model's 9.7%).
Sensitivity: base revenue path, value per share by discount rate (rows) and steady-state owner-FCF margin (columns).
| k \ margin | 7% | 10% | 12% | 14% | 17% |
|---|---|---|---|---|---|
| 6.7% | 14.05 | 20.75 | 25.23 | 29.70 | 36.41 |
| 7.7% | 9.61 | 14.42 | 17.62 | 20.83 | 25.63 |
| 8.7% | 7.08 | 10.79 | 13.27 | 15.75 | 19.46 |
| 9.7% | 5.44 | 8.45 | 10.46 | 12.46 | 15.47 |
| 10.7% | 4.30 | 6.82 | 8.49 | 10.17 | 12.69 |
Earnings-multiple cross-check: FY2027E EPS USD 0.13 × 20x = 2.55, 25x = 3.19, 30x = 3.83, 35x = 4.46, 40x = 5.10, 45x = 5.74. The price implies 44x. The FY2027 EPS range across analysts is -0.15–0.38.
7. Market efficiency and earnings reactions (ch.11)¶
Market-model abnormal returns (vs SPY, estimated over the 250 days before each event) for the last 12 releases:
| Announced | Reaction day | EPS vs est. | Surprise | AR day 0 | CAR [−1,+1] | Drift CAR [+2,+20] |
|---|---|---|---|---|---|---|
| 2026-08-03 | 2026-08-04 | -0.10 vs -0.12 | 18.3% | +11.8% | +9.7% | +11.0% |
| 2026-05-06 | 2026-05-07 | -0.05 vs -0.07 | 25.4% | -1.2% | -3.6% | +1.4% |
| 2026-02-04 | 2026-02-05 | 0.03 vs -0.03 | 189.1% | -11.1% | -14.3% | +7.2% |
| 2025-11-05 | 2025-11-06 | 0.10 vs 0.05 | 91.2% | +11.5% | +11.3% | -4.1% |
| 2025-08-05 | 2025-08-06 | -0.16 vs -0.15 | -5.1% | -18.3% | -20.9% | -7.3% |
| 2025-04-29 | 2025-04-30 | 0.08 vs 0.04 | 128.2% | -12.4% | -13.3% | -1.4% |
| 2025-02-04 | 2025-02-05 | 0.01 vs -0.04 | 126.6% | -8.8% | -5.6% | +3.9% |
| 2024-10-29 | 2024-10-30 | -0.09 vs -0.13 | 32.2% | +16.7% | +18.9% | -13.0% |
| 2024-08-01 | 2024-08-02 | -0.15 vs -0.16 | 4.9% | -23.6% | -26.5% | -7.4% |
| 2024-04-25 | 2024-04-26 | -0.19 vs -0.26 | 27.6% | +26.0% | +28.7% | +0.4% |
| 2024-02-06 | 2024-02-07 | -0.15 vs -0.17 | 12.2% | -36.4% | -35.7% | -0.9% |
| 2023-10-24 | 2023-10-25 | -0.23 vs -0.24 | 4.8% | -2.7% | +1.8% | +13.8% |
- Average absolute day-0 abnormal move: 15.0%. The sign of the EPS surprise matched the sign of the reaction 42% of the time, which is close to a coin flip: guidance and commentary matter more than the headline EPS beat.
- Post-announcement drift: the correlation between the initial reaction and the next-20-day drift is 0.08. There is no reliable post-earnings drift, consistent with semi-strong efficiency.
8. Technicals and behavioural signals (ch.12)¶
| Indicator | Value | Read |
|---|---|---|
| Price vs 50-day / 200-day MA | +4% / -0% | Death cross (50 < 200) |
| RSI(14) | 54 | Neutral |
| 12-1 month momentum | -31% | Negative (Jegadeesh-Titman) |
| 6-month relative strength vs XLC | +19% | Leader |
| Insider sales / purchases, last 6m | USD 0.06bn / USD 0.00bn | Net selling, often planned 10b5-1 sales; insider buying is the informative signal (ch.11) |
| Analyst actions, last 90 days | 18 actions, 9 target raises | Few target raises: the Street is not chasing the stock |
| Recent targets below current price | 39% | Most targets still sit above the price |
| Ratings (strong buy / buy / hold / sell) | 3 / 8 / 28 / 3 | Mixed views: less crowded positioning |
| FY2027 EPS estimate: now vs 90 days ago | 0.13 vs 0.10 | +24% revision; up/down revisions in the last 30 days: 18/8 |
9. Treynor-Black: should an active manager overweight it? (ch.27)¶
| Step | Value |
|---|---|
| Analyst-implied 12m return (mean target / price − 1) | +31.8% |
| CAPM 1-year required return (raw β) | 9.8% |
| Raw alpha | +22.0% |
| Minus average analyst optimism bias (Top-30 cross-section) | -9.9% |
| Shrunk alpha (× 0.25, for forecast imprecision) | +3.0% |
| Residual variance σ²(e) | 35.0% |
| Initial active weight w₀ = [α/σ²(e)] / [E(R_M)/σ²_M] | +3.9% |
| Beta-adjusted weight w* = w₀ / [1 + (1 − β)w₀] | +3.9% |
A positive weight means an active manager would hold more than its index weight.
10. Options market view (ch.20–21)¶
| Expiry | Days | ATM IV | Implied ±1σ move to expiry | 90% put − 110% call IV (skew) |
|---|---|---|---|---|
| 2026-10-16 | 11 | 57% | ±9.8% (±0.55) | -1.5% |
| 2026-10-23 | 18 | 60% | ±13.3% (±0.74) | -8.2% |
| 2026-10-30 | 25 | 60% | ±15.7% (±0.88) | -4.6% |
| 2026-11-06 | 32 | 73% | ±21.6% (±1.21) | -1.6% |
| 2026-11-20 | 46 | 73% | ±26.0% (±1.46) | -5.8% |
| 2026-12-18 | 74 | 68% | ±30.5% (±1.71) | -4.8% |
| 2027-01-15 | 102 | 64% | ±34.0% (±1.91) | -4.6% |
| 2027-04-16 | 193 | 66% | ±47.7% (±2.67) | -1.3% |
- Earnings-implied move: the jump in variance from the 2026-10-30 expiry (IV 60%) to 2026-11-06 (IV 73%) prices an earnings-day move of ±12.3% (1σ), or about ±9.8% in absolute terms (≈ ±0.55). Compare the historical average absolute reaction of 15.0% in section 7.
- Implied vs realized: the ~1-month ATM IV is 73% vs realized 44% (20d) / 59% (60d) / 57% (1y). Options are rich relative to realized volatility, which favours premium sellers (covered calls, cash-secured puts).
- Put-call parity (ch.20): at the ATM strike for 2026-11-06, C − P − (S − PV(K)) = +0.09 per share. A small gap reflects bid/ask spreads, the hard-to-borrow cost and early-exercise value of American options.
- Quotes were unavailable when the data was pulled (outside market hours), so implied vols use each contract's last trade price. Treat them as approximate; illiquid strikes can be stale.
Premium-selling menu for holders: the last expiry before earnings (2026-10-30), about 0.15/0.20/0.25/0.30 delta.
| Type | Strike | Bid / Ask | Price | IV | Delta | P(expires OTM) | Distance | Yield | Annualized | OI |
|---|---|---|---|---|---|---|---|---|---|---|
| Call | 6.5 | – | 0.11 | 64% | +0.22 | 83% | +15.9% | 1.96% | 29% | – |
| Put | 4.0 | – | 0.23 | 160% | -0.15 | 73% | -28.7% | 5.75% | 84% | – |
| Put | 5.0 | – | 0.10 | 58% | -0.20 | 76% | -10.9% | 2.00% | 29% | – |
Calls = covered calls on shares you own (yield on the share price); puts = cash-secured puts (yield on the strike). Prices are last trades at the data pull and indicative only; check live quotes before trading.
11. Our hourly signal model¶
SNAP is not in the Top-30 signal universe.
12. Qualitative analysis: business, PEST, catalysts and risks¶
Qualitative notes reviewed 2026-10-06
These notes are written by hand, unlike the auto-refreshed numbers above. Events up to late 2025 come from company announcements. Later developments are inferred from the data (consensus estimates, price reactions) and should be checked against SNAP's 10-Q/10-K filings and earnings calls.
Business in one paragraph¶
Snap is a camera-first social platform built around Snapchat: messaging, Stories, Spotlight short video, Discover media, Snap Map, AR lenses and Bitmoji. Revenue is still overwhelmingly advertising, with demand tied to auction pricing, direct-response budgets and brand campaigns, while Snapchat+ subscriptions and AR tools add a smaller but strategically useful direct-revenue stream. The company competes for attention and ad budgets against Meta, TikTok, YouTube and retail-media networks, but it has a distinct youth audience and a strong AR developer ecosystem. The investment case hinges on whether Snap can turn durable user growth, especially outside North America, into materially better ARPU while funding AI and AR hardware without recurring dilution and operating losses.
Key developments¶
| When | Event | Why it matters |
|---|---|---|
| 2022-2023 | Management cut costs and narrowed focus after the post-pandemic ad slowdown. | Reset expectations toward efficiency, but also showed how sensitive the model is to weak digital ad demand. |
| 2023-2024 | Snapchat+ scaled from an experiment into a meaningful subscription product. | Gives Snap a non-ad revenue line and a way to test premium features, though ads remain the core profit driver. |
| Sep 2024 | Snap introduced fifth-generation Spectacles for developers and continued investing in AR lenses and Snap OS. | Keeps Snap differentiated, but hardware and platform R&D are expensive and the consumer timeline is uncertain. |
| 2024-2025 | Sponsored Snaps, First Snap and other ad formats expanded alongside machine-learning improvements. | Direct-response performance is the key lever for closing the monetization gap with larger social platforms. |
| 2025 | User growth stayed strongest internationally while North America and Europe remained the higher-value regions. | Mix matters: faster DAU growth is helpful only if ad load, targeting and pricing improve without hurting engagement. |
PEST analysis¶
| Factor | Tailwinds | Headwinds | Net |
|---|---|---|---|
| Political | US platform regulation remains less direct than in China, and TikTok uncertainty can redirect some ad budgets. | Privacy rules, youth-safety scrutiny, app-store policies and election-ad controls raise compliance costs and can constrain targeting. | ⚖️ |
| Economic | A recovery in brand and SMB advertising would flow quickly through the auction. Subscriptions provide incremental resilience. | Ad budgets are cyclical, and Snap has less scale and first-party commerce data than Meta, Google or Amazon. High SBC keeps dilution in focus. | ⚠️ |
| Social | Snapchat retains a strong Gen Z and young-millennial habit around private messaging, camera use and AR lenses. | Social attention is fragmented; creators and advertisers can shift budgets to TikTok, Reels, Shorts or retail media quickly. | ⚖️ |
| Technological | AR, AI creative tools, better ranking and privacy-safe measurement can lift engagement and ad ROI. | Large rivals have deeper AI infrastructure, broader identity graphs and more cash to subsidize creator tools and hardware. | ⚖️ |
Bull case vs bear case¶
- Bull: Snap keeps growing daily users, improves lower-funnel ad performance and makes Snapchat+ a durable margin contributor. AR remains a brand differentiator without overwhelming the cost base, and operating leverage finally shows up as ad pricing recovers.
- Bear: Engagement shifts to larger video platforms, measurement remains weaker than peers and AR hardware consumes cash before it becomes a product. In that case, revenue growth may not translate into sustainable free cash flow, and dilution stays part of the story.
Catalysts to watch (next 6–12 months)¶
- Evidence that newer ad formats are improving conversion outcomes, not just impressions.
- North America and Europe ARPU trends, especially versus international DAU growth.
- Snapchat+ subscriber growth, churn and feature adoption.
- Spending discipline in AI, cloud infrastructure and Spectacles development.
- Any regulatory developments around minors, app stores or privacy-safe measurement.
What would change the verdict¶
- More constructive: sustained ARPU acceleration in developed markets, positive free cash flow after SBC and evidence that AR investment is becoming a software platform rather than a hardware cash drain.
- More cautious: slowing engagement in core youth cohorts, renewed heavy losses, weaker advertiser ROI versus Meta or TikTok, or a regulatory change that materially limits targeting or youth monetization.
Generated by analyses/deep-dives/deep_dive.py. Quantitative sections refresh weekly; the qualitative notes carry their own review date.