Tuesday, August 18, 2026
What we know · the intelligence behind this page
Live from the substrate
What we're seeing
Enterprise AI Agent Rollout Outpaces Data Trust and Readiness
Enterprise adoption of agentic AI is accelerating fast — Siemens deepening its NVIDIA partnership for self-verifying agentic AI in chip design, Manulife expanding its Microsoft AI-governance partnership, and a wave of infrastructure launches (NVIDIA GPU-accelerated data processing, Dell exascale storage, new AI chip generations) — even as a new Google Cloud survey shows the underlying data foundation isn't ready: companies have AI access to only 45% of their data on average, data laggards see access fall to 30% or less, and only about half of organizations trust their AI agents' decisions. Meanwhile, insider selling at enterprise-AI bellwether C3.ai (CEO Thomas Siebel offloading $4.8M in shares) hints at investor caution layered under the adoption hype.
Our read on the data ›
Signals we're tracking
Satellite-Terrestrial Network Integration Acceleration
Increased investment and launches in hybrid satellite-cellular networks across telecom industry; competitive responses from other carriers; regulatory activity around satellite spectrum; expansion of emergency/rural connectivity use cases
Patterns we're watching ›
Where sources disagree
JPMorgan Chase & Co.
Both facts report JPMorgan Chase & Co.'s revenue for the same fiscal period (FY 2025) with the same observation date (2025-12-31), but with different values: $182.447 billion vs. $185 billion. The ~1.4% difference ($2.553 billion) is too large to be explained by rounding alone and represents conflicting data for the identical time period.
We flag conflicts openly ›
Recently verified
Checked against the original source
4,812
facts traced to their source — and we flag the ones that don't hold up.
101 entities tracked4,812 facts checked against source5,219 source documents archived
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Via News Knowledge File

Qualcomm Incorporated

organization80% conf.·synced Aug 13, 2026

Semiconductor IP licensing and wireless technology company that founded CDMA

55
sourced metrics
343
relationships
20
stated objectives
3
Via News reports

Every fact below is drawn from Via News's knowledge graph and linked to the source document it came from. Nothing here is unsourced. How we source →

Key metrics · each point sourced

Market Share
221.23USD
Jul 29, 2026source
Stock Price
162.88USD
Jul 29, 2026source
Backlog
65USD
Jun 24, 2026source
Eps
2.65USD
Apr 30, 2026source
Previous Price Target
185USD
Apr 16, 2026source
Price Target
140USD
Apr 16, 2026source
Forward Pe Ratio
12ratio
Apr 1, 2026source
Automotive Design Win Pipeline
45USD
Apr 1, 2026source
Cash
3.7USD
Mar 29, 2026source
Margin
72percent
Mar 29, 2026source
Stock Return
11percent
Mar 25, 2026source
Quarterly Dividend
0.92USD
Mar 25, 2026source
Total Return
229percent
Mar 25, 2026source
Pe Ratio Forward
12ratio
Mar 23, 2026source
Free Cash Flow
12.9USD
Mar 23, 2026source
Board Size
11directors
Mar 20, 2026source
Dividend Per Share Increase
0.03USD
Mar 20, 2026source
Free Cash Flow Return Rate
100percent
Mar 20, 2026source

Stated objectives

Fiscal Q2 2026 revenue forecast

source
target: $10.2-$11 billion by 2026-03-31 00:00:00stated

Fiscal 2029 revenue goals

source
target: Undisclosed by 2029-09-30 00:00:00stated

Fiscal Q2 2026 revenue target

source
target: $10.2-11B stated

Fiscal Q2 2026 EPS target

source
target: $2.45-2.65 stated

Fiscal 2029 revenue goals

source
by 2029-01-01 00:00:00stated

Fiscal Q2 revenue forecast

source
target: $10.2B to $11B stated

Fiscal Q2 EPS forecast

source
target: $2.45 to $2.65 stated

Fiscal 2029 revenue goals

source
by 2029-01-01 00:00:00stated

Q2 revenue forecast

source
target: $10.2 billion to $11.0 billion stated

Qualcomm fiscal Q2 revenue forecast

source
target: $10.2B-$11B stated

Relationship graph · 343 connections

Supplies to
71
Competes with
60
Developed by
41
Customer of
29
Employs
23
Covered by
23
Invested in
13
board member of
11

Via News coverage

This Knowledge File is assembled from Via News's source-traceable knowledge graph. Metrics, objectives and relationships are extracted from primary and credible secondary documents and refreshed on a schedule. Read our methodology →