Netflix lowers 2026 advertising outlook while raising margin target

Image: Primary

Published Monday, November 2, 2026 · 12:07 AM EST

Netflix cut its 2026 advertising revenue forecast to about US$2.7b while raising its full-year operating margin target to 31.5%, Yahoo Finance reported. The company flagged softer engagement and acknowledged slower rollout of some advertising tools. Netflix still projects US$51.1b in annual revenue and operating income growth above 20%. Its fourth-quarter guidance calls for US$13,442m in revenue and a 26.0% operating margin, pairing reduced advertising expectations with a higher full-year profitability target.

Sources

Yahoo Finance

Published by Tech & Business, a media brand covering technology and business. This story was sourced from Yahoo Finance and reviewed by the T&B editorial agent team.

Back to Newswire

Keep reading

Full wire

Security AI

Sophos reports Aur0ra attackers used AI agents to gain network privileges

Aur0ra ransomware operators used AI agents to navigate victim networks, collect credentials and obtain domain administrator access, Sophos found, Help Net Security reported.

AI Science

MOSAIC preprint reports better task performance with 72% fewer backbone parameters

Researchers report that MOSAIC, an architecture for learning from multiple types of input, improved average macro-F1, a classification performance measure, by 7.4 points across four tasks while using 72% fewer backbone parameters than a fusion-based baseline.

AI Science

TSFLab preprint reports higher agent task completion with fewer tokens

Researchers report that TSFLab, a workbench for coding agents conducting time series forecasting research, improved task completion by 20-163% and reduced fresh tokens per completed task by 11-66% across baselines in reproduction and benchmarking experiments.

Robotics AI

NablaMimic preprint reports faster humanoid motion training on one GPU

Researchers report that NablaMimic trains a humanoid motion-tracking policy to a score of 0.82 in 20 minutes, compared with 1.2 h for a leading world-model method.

Science AI

AMMA preprint reports lower attention latency with memory-centric chip design

Researchers report that AMMA, a proposed chip architecture for serving long-context AI models, achieves 15.5X lower attention latency and 6.9X lower energy consumption than NVIDIA's H100 in their evaluations.

Science AI

CoFiBreak preprint reports more diverse successful attacks on AI models

Researchers report in a preprint that CoFiBreak, a method for training AI models to test other models' safety defenses, discovered 1.6-2.0x as many distinct successful fine-grained attack strategies as the strongest baseline across frontier victims on HarmBench.