Meta Platforms, Inc. (META)

Secondary decision view: valuation · portfolio context · the data you need before acting on a single-source signal.
Neutral rule-based

Meta Platforms, Inc. has no clear signal.

  • Buy-zone state: far (+190.7% to floor)
  • Valuation label: expensive
Verdict bucket from deterministic rule (validation / floor distance / risk alerts). LLM narration only — never picks the bucket.

BUY-ZONE DECISION rule signal

$721.31 → $248.16 engine floor
far above at floor

META is far above the floor (~190.7% above) — adding here means paying a premium vs. your own threshold. Wait or take partial position only with a strong directional view. valuation expensive (91th percentile)

Macro context

Across past macro events, META 5d reaction has been net negative -5.0%
13 event categories · 107 samples · 40 up / 60 down · macro-beta evidence only
Per-category detail · macro beta breakdown
fed-fomc-rate-cycle → avg 5d -4.4% 12 samples · 4 up / 6 down
taiwan-strait-tension → avg 5d -3.4% 12 samples · 6 up / 4 down
oil-shock → avg 5d -1.2% 10 samples · 4 up / 5 down
us-china-tariff-escalation → avg 5d -0.8% 10 samples · 3 up / 6 down
big-ipo-event → avg 5d -6.4% 9 samples · 2 up / 6 down
bank-crisis → avg 5d -14.1% 8 samples · 2 up / 6 down
big-tech-earnings-shock → avg 5d +1.8% 7 samples · 6 up / 1 down
election-uncertainty → avg 5d -3.8% 7 samples · 2 up / 5 down
natural-disaster → avg 5d -11.4% 7 samples · 1 up / 6 down
pandemic-emergency → avg 5d -8.1% 7 samples · 3 up / 4 down
sovereign-debt-crisis → avg 5d -13.9% 7 samples · 2 up / 5 down
china-property-crisis → avg 5d +2.8% 6 samples · 3 up / 3 down
russia-ukraine-war → avg 5d -3.4% 5 samples · 2 up / 3 down
Vs sector ETF (XLC, 5d)
+3.6pp leading sector
META +1.1% Sector benchmark XLC -2.5%
Macro-beta evidence: how this ticker historically reacted to broad macro shocks. Not a thesis-level call — for that, you have to read the news and decide.

RULES & ALERTS FIRING

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VALUATION

Expensive
Trailing P/E
27.2
5-yr percentile: 91%
P/B
7.0
5-yr percentile: 39%
p10
20.7
p25
21.7
p50
22.4
p75
24.3
p90
25.7
Large PE vs PB percentile gap — possibly due to dramatic earnings shifts distorting PE. Consider Forward PE and growth expectations.

Floor Engine

AI Valuation Recommendation
Floor
USD 385.81
Golden
USD 501.56
How we derived this
Floor USD 385.81 = 对 2 个有效估值方法的中位数选举:EPV USD 248.16、EPV_GROWTH_PREMIUM USD 436.40。引擎对每个方法的有效性做了独立检验(PE/股息分布是否结构性偏离、数据是否充分),只有通过的方法才参与最终选举。

Golden USD 501.56 = Floor × 1.30(取在 floor → floor×1.30 收敛带内的最高 primary 值;若无候选落入此带,回落到 floor × 1.08 默认溢价)。

已跳过:VALUATION — 见各场景卡片下的具体原因。
External Cross-Check
Our AI Floor USD 385.81
Analyst Low Target (58 brokers) USD 580.00
Analyst Mean Target USD 794.96
5-Year Low USD 92.28
✓ 我们的 floor 比分析师低端低 33%(在合理区间内)。AI Floor 设计上就是『深度便宜』的价位,低于分析师 12 个月目标低端属于预期之内。
AI Synthesis
⚠️ 引擎标记此票需要人工复核(engine flagged needs_human_review)。下方为引擎自身警告信息: • Valuation method: insufficient PE history (8 months, need 60)
Updated 2026-04-29
Glossary (click to expand)
Forward P/E
P/E using analysts' next-12-month EPS estimates. More forward-looking than trailing P/E, but exposed to forecast error.
Trailing P/E
P/E using actual EPS from the last 12 months. Distorted by one-time events (asset sales, impairments) until they roll out of the window.
P/B (Price-to-Book)
Stock price / book value per share. Meaningful for asset-driven sectors (banks, insurers); high values are normal for asset-light sectors (tech, consumer).
PEG
P/E ÷ earnings growth rate — \"how much P/E you pay per 1% of growth\". <1 = cheap-ish, >2 = priced-in.
Regime-mismatch drawdown model
When P/E distribution undergoes a structural shift (business transformation, sector re-rating), traditional \"revert to historical P/E percentile\" misleads. This model uses historical max drawdown × current EPS instead.
EPV (Earnings Power Value)
Greenwald framework: assume zero growth + current earning power is sustainable. Yields a conservative lower bound (asset + franchise value).
Heuristic Fallback
Backup estimator used when the primary method (P/E percentile, yield reversion, etc.) is unreliable due to data issues. **Lower confidence** — reference only, not auto-execute.
Confidence
Primary method applicable → high; multiple methods agree → medium; single heuristic fallback → low. Low confidence means review before acting.
partial USD 721.31 Confidence low
discount-to-floor: 2.91×
VALUATION low ⓘ
—
method skipped: insufficient PE history (8 months, need 60)
PE reverts to historical 5th-percentile (extreme undervaluation)
EPV ★ medium ⓘ
USD 248.16
Zero-growth scenario + current cash/debt (Greenwald franchise value)
Default fallback to epv method
EPV GROWTH PREMIUM low ⓘ
USD 436.40
EPV × franchise-value multiplier (compounder premium when ROIC > WACC)

YOUR WATCHLIST CONTEXT

○ anonymous
What you'll see after sign-in
Your floor
$XXX.XX
Your golden
$XXX.XX
Market
XXX

· Your personal floor / golden price overlay on the live price

· Per-ticker rule alerts when this stock crosses your thresholds

· Position P&L overlay — what this ticker means inside your full portfolio

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IMPLIED VOLATILITY

CURRENT IV 37.7% HV (30D) 47.2% IV RANK (1Y) 46 NEUTRAL
IV vs HV · last 1 year

Earnings Reactions

META
8 earnings events · last 2 years
Avg Gap%
+0.36%
Avg Day%
-0.56%
Up Hit Rate
50%
Next Earnings · est.
2026-10-28
in 20d
24-10
25-01
25-04
25-07
25-10
26-01
26-04
26-07
Bar height = |Gap%| normalized to the period max. Green = up, red = down.
Date Time EPS Surprise Gap% Day% Week%
2026-07-29 AMC 6.18 -14.4% -10.18% -7.95% +0.73%
2026-04-29 AMC 7.31 +7.2% -7.44% -8.55% -7.82%
2026-01-28 AMC 8.88 +8.0% +10.27% +10.40% +0.22%
2025-10-29 AMC 7.25 +8.7% -10.98% -11.33% -17.66%
2025-07-30 AMC 7.14 +21.8% +11.51% +11.25% +9.58%
2025-04-30 AMC 6.43 +23.5% +7.85% +4.23% +8.93%
2025-01-29 AMC 8.02 +19.0% +3.01% +1.55% +5.25%
2024-10-30 AMC 6.03 +13.9% -1.15% -4.09% -0.02%

Is Meta Platforms, Inc. (META) overvalued right now?

Meta Platforms, Inc. (META) is currently trading at a trailing P/E of 27.2, sitting at the 91th percentile of its 5-year valuation history. A high percentile suggests the market is pricing the stock above its own historical norm — useful context before sizing a new position or selling premium against it.

Meta Platforms, Inc. (META) — what's the SELL PUT risk profile?

Selling cash-secured puts on Meta Platforms, Inc. (META) is a common income strategy, but the right strike depends on your floor price (the level you'd happily own at) and the option chain's buffer/APY tradeoff. The full ladder view (deferred to a future release) ranks candidates by buffer percentage first, then APY — see the option ladder methodology for why buffer matters more than yield in this strategy.

Meta Platforms, Inc. (META) — which option strategy fits your view?

If you're bullish long-term but cautious near-term on Meta Platforms, Inc. (META), SELL PUT into your floor zone collects premium while waiting for a better entry. If you already own it and are neutral-to-mildly-bullish, COVERED CALL caps upside but harvests time decay. The wrong strategy on the right ticker still loses money — match the trade to your view, not the other way around.

Meta Platforms, Inc. (META) — is now a good entry?

Entry timing on Meta Platforms, Inc. (META) is a function of your floor price (hard buy zone) and golden price (back-the-truck-up zone). Both are personal — set them in your watchlist and we'll alert you when the market hits either level.

FAQ

Why does META show different P/E numbers on different sites?

Different data providers use different earnings windows (TTM vs forward, GAAP vs adjusted) and update at different cadences. We surface trailing P/E with a 5-year percentile rank to give context — a P/E of 30 is hot for one stock and cold for another.

Does this page show META's implied volatility?

Not on this v0 page — the dedicated volatility tool covers IV with multi-source voting (IBKR + Polygon + yfinance). For pure IV lookup, use /tools/volatility. This page is for decision-stage queries that pull together valuation + portfolio context.

How is this different from Yahoo Finance or 雪球's META page?

Those sites are great for raw data discovery — last price, news, headline P/E. This page is built for the second look: you've already seen a single-dimension signal somewhere else, now you need multi-dimensional decision context (your floor, the valuation percentile, your portfolio overlay) in one view, not five tabs.