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PANW

Palo Alto Networks, Inc.

latest move
+13.09%
2026-09-14
10 sessions · 2026-06-29 → 2026-09-14 · avg 11.70% · largest 23.41%

Palo Alto Networks is a global enterprise cybersecurity leader providing integrated, platform-based solutions spanning network security, cloud security, and AI-driven security operations.

Price history

stitched from the price window carried by each report

Every session it moved

newest first
2026-09-14Bullish
+13.09%24 hours change

AI safety warnings and an AI model breach sparked a sector-wide market rotation into cybersecurity leaders.

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2026-09-03Bullish
-13.30%weekly change

Shares dropped after reporting a surprise GAAP net loss from M&A costs and decelerating fiscal 2027 NGS ARR guidance.

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2026-09-02Bullish
-9.28%24 hours change

The stock fell due to gross margin contraction, a swing to a GAAP net loss, and decelerating FY2027 NGS ARR growth guidance.

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2026-08-27Bullish
+12.83%24 hours change

The stock surged due to strong earnings from peers CrowdStrike and Okta, positive analyst upgrades, and pre-earnings positioning.

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2026-08-10Bullish
+5.82%24 hours change

The stock rose on AI cyber threat disclosures, relief over minimal China revenue exposure, and Wall Street price target increases.

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2026-07-14Bullish
+6.84%24 hours change

Shares surged after IBM cited IT budget shifts to cybersecurity and government agencies warned of AI-driven threats.

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2026-07-07Bullish
-5.73%24 hours change

The stock fell due to an analyst downgrade to Hold, price target cuts, valuation concerns, and clustered insider sales.

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2026-07-06Bullish
+17.53%weekly change

The stock surged following major Wall Street price target upgrades and a 4-for-1 stock split that increased retail investor access.

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2026-07-01Bullish
+23.41%weekly change

The stock surged following a new IBM partnership, a bullish forecast on cybersecurity spending, and analyst price target upgrades.

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2026-06-29Bullish
+9.14%24 hours change

PANW surged 9.14% following a bullish UBS sector forecast, U.S.-Iran geopolitical de-escalation, and reduced AI disruption fears.

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