Zebra vs Zeotap

10-Q Financial Filing Analysis for Zebra (2026-08-04)

Zebra Technologies reported strong financial performance for the second quarter of 2026, with consolidated net sales increasing 20.4% year-over-year to $1.557 billion (9.2% organic growth), driven by broad-based global demand across both Connected Frontline (CF) and Asset Visibility & Automation (AVA) segments. Operating income surged 75.4% to $321 million, and net income reached $233 million ($4.85 diluted EPS), significantly aided by a $73 million pretax benefit recorded in cost of sales from expected IEEPA import tariff refunds following a favorable U.S. Supreme Court ruling. The company also substantially completed its 2025 Productivity Plan to realize $35 million in annualized run-rate savings, repurchased $268 million in common shares during the quarter ($568 million year-to-date), and plans to refinance its credit facility maturing in May 2027 during the second half of 2026.

• Q2 2026 net sales reached $1,557 million (up 20.4% YoY; 9.2% organic growth), and net income grew 108% to $233 million ($4.85 diluted EPS).
• Recognized a $73 million pretax cost-of-sales benefit ($46M in CF, $27M in AVA) for expected refunds of invalidated IEEPA import tariffs, with $14 million collected in cash in Q2 and another $27 million collected in July 2026.
• Active capital allocation with $568 million returned via share repurchases year-to-date and plans to refinance the Term Loan A and Revolving Credit Facility ($2.16B due in 2027) in H2 2026.

Edgify Raises $9M Series A+ for Edge AI Retail Platform

Edgify, an edge AI infrastructure company, has raised $9 million in Series A+ funding to expand its platform for physical retail and enter new industries. Rank Ventures and Mangrove Capital Partners backed the round, bringing total funding to $25 million. The company's platform connects and orchestrates AI models across edge devices such as self-checkouts, cameras, scales, and point-of-sale systems, enabling local data processing and learning without sending raw data to the cloud. Initially focused on grocery retail loss prevention in the US and Europe, Edgify uses computer vision to detect behaviors like scan avoidance and product switching. It is now expanding into convenience stores, quick-service restaurants, distribution centers, and apparel, with longer-term plans in transportation, logistics, manufacturing, and warehousing.

• Edgify raised $9 million in Series A+ funding.
• The round was backed by Rank Ventures and Mangrove Capital Partners.
• Edgify's total funding has reached $25 million.

Zebra Study with Oxford Economics Reveals Modernizing Frontline Workflows Unlocks Productivity, Profitability Gains

Zebra Study with Oxford Economics Reveals Modernizing Frontline Workflows Unlocks Productivity, Profitability Gains

Snowflake, CDP and the experience layer: a conversation between Zeotap and Glassjaw

New blog post published on Sep 24, 2026 featuring a conversation between Zeotap and Glassjaw about Snowflake, CDP, and the experience layer. The previous featured post about the Open CDP launch has been moved down in the blog listing.

Zeotap launches Open CDP on open-source compute

Zeotap announced Open CDP, a deployment of its composable Customer Data Platform (CDP) that runs entirely on open-source compute (Apache Spark) over the customer's own lakehouse (Apache Iceberg tables on object storage). This architecture eliminates the need for a proprietary warehouse, ensures data sovereignty and residency compliance, and avoids per-credit compute costs. The platform supports bring-your-own-catalog with integrations including Databricks Unity Catalog, Google Cloud, Snowflake, and open-source Unity Catalog. Deployment can be fully managed by Zeotap or operated by the customer or a partner. Open CDP targets regulated B2C enterprises in telecommunications, retail, and financial services that require high-volume processing and strict data residency.

• Zeotap launched Open CDP, a composable CDP running on Apache Spark and Iceberg tables.
• Open CDP uses the customer's own object storage and catalog, with no proprietary warehouse.
• Supports Databricks Unity Catalog, Google Cloud, Snowflake, and open-source Unity Catalog.