Skip to main content
Free trial

Analyze this stock with AI

Ask AI to research recent events and build a visual report.

Tell your AI:

“Help me set up FinLab and analyze PANW Palo Alto Networks, Inc.: https://finlab.finance/en/setup?stock=PANW”

Run AI in browser

PANW

Palo Alto Networks, Inc. Technology As of 2026-06-18
Quality Above avg
Valuation Expensive
Risk Moderate
Active signals Active Top-quintile 6-month momentum Filed revenue acceleration
287.78 Close (USD)
+83.05% 60-day
  • Quality is above average. Operating margin sits near the 56th percentile. TTM ROE is about 3.0%.
  • Valuation is expensive. TTM P/E is in the 98th percentile, above most peers.
  • Recent volatility is moderate. 60-day annualized volatility is near the 68th percentile. Average 20-day dollar volume is about $2,448.4M.
  • Signals are active now. Top-quintile 6-month momentum, Filed revenue acceleration currently holds; the tables below show what followed in this stock’s own history.

Factor profile

Factor radar Weak Valuation
22
ValuationQualityGrowthMomentumRisk / liquidity

Valuation

Indicators in this group are ranked by market percentile; lower valuation and volatility are better.

22 Weak
TTM P/E 250.24
Expensive
Price / book 7.58
Expensive
Free-cash-flow yield (%) 2.05
Good

Historical evidence

Signals active now

Each active condition is tested against this stock’s own history and benchmarked versus the S&P 500.

Top-quintile 6-month momentum

Active · now 83.72881355932203%

The stock ranks in the top 20% of the liquid US common-stock universe by 126-day adjusted return.

21 historical occurrences (since 2017-09-01)
Average forward return after Top-quintile 6-month momentum。20-day: Win 45%, Sample 20, Median -1.36%, Excess +1.04%, Beat mkt rate 45%；60-day: Win 55%, Sample 20, Median +2.31%, Excess -0.61%, Beat mkt rate 50%；120-day: Win 70%, Sample 20, Median +5.88%, Excess +2.28%, Beat mkt rate 60%

120 days after: historical avg +7.55%

20-day +1.61%
60-day +2.12%
120-day +7.55%
20-day
60-day
120-day
Win
45%
55%
70%
Sample
20
20
20
Median
-1.36%
+2.31%
+5.88%
Excess
+1.04%
-0.61%
+2.28%
Beat mkt rate
45%
50%
60%

Over 20 occurrences, 120-day forward avg gained 7.55%, beat the market by 2.28 pts; win rate 70%.

Filed revenue acceleration

Active · now 19.50895221354607%

TTM revenue growth is at least 10% and improved versus the prior filed quarter; event date is the SEC filing date.

17 historical occurrences (since 2018-02-27)
Average forward return after Filed revenue acceleration。20-day: Win 75%, Sample 16, Median +3.23%, Excess +5.13%, Beat mkt rate 75%；60-day: Win 56.2%, Sample 16, Median +4.2%, Excess +5.34%, Beat mkt rate 50%；120-day: Win 66.7%, Sample 15, Median +9.82%, Excess +4.98%, Beat mkt rate 73.3%

120 days after: historical avg +9.51%

20-day +4.17%
60-day +8.51%
120-day +9.51%
20-day
60-day
120-day
Win
75%
56.2%
66.7%
Sample
16
16
15
Median
+3.23%
+4.2%
+9.82%
Excess
+5.13%
+5.34%
+4.98%
Beat mkt rate
75%
50%
73.3%

Over 15 occurrences, 120-day forward avg gained 9.51%, beat the market by 4.98 pts; win rate 66.7%.

Valuation regime and forward returns

Daily TTM P/E is converted into an expanding own-history percentile, then grouped into five valuation regimes. Forward returns use adjusted prices over the next 240 trading days.

PE percentile bandSample days240-day avg returnMedianWin rateAvg excess (vs index)
0-20 0Insufficient data
20-40 0Insufficient data
40-60 0Insufficient data
60-80 0Insufficient data
80-100 You are here0Insufficient data

Quarterly EPS is aligned by SEC filing date before it is forward-filled to daily prices. The expanding percentile uses only information available up to each day.

Current TTM P/E is about 250.24, placing it in the 84.0 own-history percentile, inside the 80-100 bucket.

Valuation × momentum analogs

Each historical day is grouped by own-history P/E tercile and 60-day momentum direction, then tested for the next 120-trading-day adjusted return.

Valuation
Momentum
Cheap (own-history bottom third)
Middle
Expensive (own-history top third)
60-day momentum up
Insufficient data
(0d)
Insufficient data
(0d)
Now
Insufficient data
(0d)
60-day momentum down
Insufficient data
(0d)
Insufficient data
(0d)
Insufficient data
(0d)

Days = trading days in this bucket; returns use adjusted prices, ex-costs. 60-day momentum: direction of this stock's price over the past 60 trading days.

Market-wide momentum baseline

Across 94,737 liquid US common-stock samples, top-quintile 6-month momentum was followed by an average 60-trading-day return of +6.40%, a 58.3% positive-return rate, and +3.10 percentage points of average excess return versus the S&P 500.

Baseline: weekly samples since 2016 where a liquid US common stock ranked in the top quintile by 126-trading-day momentum. Forward return is 60 trading days; excess return is versus S&P 500 (^GSPC).

Signals not active now

Inactive signals still show the stock-specific historical forward-return distribution for context.

52-week adjusted-price high

Pending

Adjusted close first reaches a 252-trading-day high; repeated hits within 20 days count once.

23 times historically; 60-day forward avg +1.39%, win rate 45.5%, beating the market by +0.29 pts on average.

EPS surprise beat

Pending

Reported EPS beat consensus estimate by at least 5%; event date is the earnings-surprise timestamp.

30 times historically; 60-day forward avg +14.73%, win rate 80%, beating the market by +10.5 pts on average.

Free trial

Analyze this stock with AI

Ask AI to research recent events and build a visual report.

Tell your AI:

“Help me set up FinLab and analyze PANW Palo Alto Networks, Inc.: https://finlab.finance/en/setup?stock=PANW”

Run AI in browser

Method and limits

  • Returns use us_price:adj_close, adjusted for splits and dividends where available.
  • Excess returns use world_index:^GSPC as the S&P 500 benchmark proxy.
  • Quarterly fundamentals are aligned to SEC filing dates before daily valuation studies.
  • The promoted universe starts from active NYSE/NASDAQ common stocks, then applies price and dollar-volume gates.
  • Snapshot-only tables such as analyst consensus, DCF, us_ratios, and us_key_metrics are intentionally excluded from historical evidence.
  • Overlapping event windows are descriptive distributions, not independent samples.

This page is for historical data analysis and education only. It is not investment advice. Backtests and historical return distributions do not predict future performance; evaluate risk independently before trading.