GOOGL (GOOGL)

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

GOOGL earns a NEUTRAL verdict as expensive valuation offsets moderate downside protection from valuation floors.

  • PE at $29.53 sits in the 93.7th percentile (95.8% away from buyzone), marking the stock as expensive on a historical earnings basis.
  • The engine-derived valuation floor of $267.70 offers only a ~2% discount from the current price of $387.35, providing limited margin of safety.
  • No red alerts or risk warnings are present, but the valuation is validated as green, indicating no extreme low opportunity despite the high PE.
Verdict bucket from deterministic rule (validation / floor distance / risk alerts). LLM narration only — never picks the bucket.

BUY-ZONE DECISION rule signal

$387.35 $197.86 engine floor
far above at floor

GOOGL is far above the floor (~95.8% above) — adding here means paying a premium vs. your own threshold. Wait or take partial position only with a strong directional view. valuation expensive (94th percentile)

Macro context

Across past macro events, GOOGL 5d reaction has been net positive +0.3%
13 event categories · 107 samples · 55 up / 45 down · macro-beta evidence only
Per-category detail · macro beta breakdown
fed-fomc-rate-cycle → avg 5d +0.5% 12 samples · 6 up / 5 down
taiwan-strait-tension → avg 5d +2.2% 12 samples · 10 up / 1 down
oil-shock → avg 5d -1.0% 10 samples · 5 up / 4 down
us-china-tariff-escalation → avg 5d +0.7% 10 samples · 7 up / 3 down
big-ipo-event → avg 5d -0.7% 9 samples · 4 up / 5 down
bank-crisis → avg 5d +4.1% 8 samples · 5 up / 2 down
big-tech-earnings-shock → avg 5d -3.2% 7 samples · 1 up / 5 down
election-uncertainty → avg 5d +0.7% 7 samples · 3 up / 4 down
natural-disaster → avg 5d -0.6% 7 samples · 3 up / 3 down
pandemic-emergency → avg 5d +1.3% 7 samples · 5 up / 2 down
sovereign-debt-crisis → avg 5d +0.7% 7 samples · 3 up / 3 down
china-property-crisis → avg 5d -1.2% 6 samples · 1 up / 5 down
russia-ukraine-war → avg 5d -1.1% 5 samples · 2 up / 3 down
Vs sector ETF (XLK, 5d)
-0.1pp in line with sector
GOOGL +3.8% Sector benchmark XLK +3.9%
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
29.5
5-yr percentile: 94%
P/B
9.8
5-yr percentile: 100%
p10
17.6
p25
21.8
p50
24.2
p75
26.6
p90
28.3
Sufficient earnings data; P/E historical percentile directly measures overvaluation or undervaluation

Floor Engine

AI Valuation Recommendation ✓ OK
Floor
USD 267.70
Golden
USD 289.11
How we derived this
Floor USD 267.70 = 对 3 个有效估值方法的中位数选举:VALUATION USD 267.70EPV USD 197.86EPV_GROWTH_PREMIUM USD 593.58。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 289.11 = Floor × 1.08(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)。
External Cross-Check
Our AI Floor USD 267.70
Analyst Low Target (52 brokers) USD 334.22
Analyst Mean Target USD 427.89
5-Year Low USD 87.51
✓ 我们的 floor 比分析师低端低 20%(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
Alphabet (GOOGL) 目前 PEG 为 0.80 且远期市盈率 25.0x 相对其高增长率而言合理。然而,历史市盈率和市净率均处于100%分位,显示其当前估值已偏高。在此背景下,我们的估值引擎通过多个估值方法的**中位数选举**,得出 GOOGL 的**估值底线 (Floor Price)** 为 $267.7,**黄金价格 (Golden Price)** 为 $289.11。这一结果的置信度为中等 (medium)。尽管分析师认为其增长潜力未完全体现,但历史高估值与当前计算出的估值底线提示潜在下行风险,投资者应谨慎考量。
Updated 2026-05-11
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 387.35 Confidence medium
discount-to-floor: 1.96×
VALUATION medium
USD 267.70
PE reverts to historical 5th-percentile (extreme undervaluation)
Default fallback to valuation method
EPV medium
USD 197.86
Zero-growth scenario + current cash/debt (Greenwald franchise value)
EPV GROWTH PREMIUM low
USD 593.58
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

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IMPLIED VOLATILITY

CURRENT IV 34.5% HV (30D) 37.0% IV RANK (1Y) 91 HIGH
IV vs HV · last 1 year

Earnings Reactions

GOOGL
8 earnings events · last 2 years
Avg Gap%
+1.08%
Avg Day%
+0.64%
Up Hit Rate
62%
Next Earnings · est.
2026-07-23
in 71d
24-07
24-10
25-02
25-04
25-07
25-10
26-02
26-04
Bar height = |Gap%| normalized to the period max. Green = up, red = down.
Date Time EPS Surprise Gap% Day% Week%
2026-04-29 AMC 5.11 +94.3% +6.90% +9.96% +13.73%
2026-02-04 AMC 2.82 +6.8% -6.25% -0.54% -7.22%
2025-10-29 AMC 2.87 +26.9% +6.20% +2.52% +3.71%
2025-07-23 AMC 2.31 +5.1% +3.57% +1.02% +0.88%
2025-04-24 AMC 2.81 +40.1% +3.64% +1.68% +2.98%
2025-02-04 AMC 2.15 +1.2% -7.42% -7.29% -11.03%
2024-10-29 AMC 2.12 +14.7% +6.48% +2.82% +4.03%
2024-07-23 AMC 1.89 +2.5% -4.51% -5.04% -5.64%

Is GOOGL (GOOGL) overvalued right now?

GOOGL (GOOGL) is currently trading at a trailing P/E of 29.5, sitting at the 94th 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.

GOOGL (GOOGL) — what's the SELL PUT risk profile?

Selling cash-secured puts on GOOGL (GOOGL) 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.

GOOGL (GOOGL) — which option strategy fits your view?

If you're bullish long-term but cautious near-term on GOOGL (GOOGL), 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.

GOOGL (GOOGL) — is now a good entry?

Entry timing on GOOGL (GOOGL) 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 GOOGL 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 GOOGL'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 GOOGL 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.