BackPalladyne AI - Warrants (24/09/2026) Overview

Palladyne AI - Warrants (24/09/2026) Profit Margin

Latest profit margin for Palladyne AI - Warrants (24/09/2026): -254.75% — see history and peer comparisons.

Get informed when a big investor buys or sells

+ Follow

Quarterly Profit Margin

-213.14%
↑ 71.10% YoY

As of Jun 2026

Annual Profit Margin (TTM)

-254.75%
↑ 53.31% YoY

Trailing 12 months ending Jun 2026

Average Profit Margin (Comparison Companies)

Loading

Profit Margin History

Loading

Profit Margin Comparison

Loading

Annual Profit Margin Growth Rate (%)

Loading

Palladyne AI - Warrants (24/09/2026) (PDYNW) FAQ

The latest profit margin for PDYNW is -254.75% as of June 2026. That compares with -545.57% in the prior-year period — up 53.3% year over year. That is below the Industrials sector average of 4.71%. Investors often review this figure alongside Palladyne AI - Warrants (24/09/2026)'s historical trend and sector peers before judging valuation or financial health.

Over the past year, PDYNW's profit margin moved from -545.57% to -254.75% — a 53.3% year-over-year increase. If the trend continues in the same direction for several quarters, it can signal a meaningful shift in Palladyne AI - Warrants (24/09/2026)'s valuation or profitability profile.

Against Industrials companies, PDYNW currently prints -254.75% for profit margin, while the sector average sits near 4.71%. That is roughly 5514.3% below the sector mean. Large gaps often invite a closer look at Palladyne AI - Warrants (24/09/2026)'s growth, margins, and balance sheet.

Profit Margin shows how effectively Palladyne AI - Warrants (24/09/2026) converts resources into returns. At -254.75%, PDYNW may look efficient or underperforming depending on peer benchmarks and trend direction. That compares with -545.57% in the prior-year period — up 53.3% year over year. Pair the percentage with revenue growth and leverage for a fuller health check.

After noting PDYNW's profit margin (-254.75%), review year-over-year change from -545.57%, peer averages, and a few neighboring metrics such as revenue, margins, or valuation multiples. That combination usually beats staring at a single figure. The navigation links on this page jump you to those related views.