Dolby Earnings Analysis

TLDR

Built an interactive financial data visualization of Dolby Laboratories' earnings from FY2021 through FY2025, pulling from annual reports and earnings releases to surface trends in revenue, gross margin, operating income, and EPS over time.

Context

Having worked at Dolby, I was curious to dig into the numbers and understand how the company's financial performance had evolved across business segments over several years. Dolby's business model is built heavily on licensing rather than hardware, which creates interesting margin dynamics that don't always show up clearly in headline revenue figures alone.

I wanted to build something interactive and readable that would let me explore the data visually rather than staring at spreadsheet rows, and to practice building financial visualizations with pure JavaScript.

Process

I sourced financial data from Dolby's public annual reports and quarterly earnings releases, compiling quarterly revenue, gross margin, operating income, and diluted EPS figures from FY2021 through FY2025. I organized this into a structured JavaScript data model that the charts render from directly.

The dashboard was built in HTML and CSS with all chart rendering done in vanilla JavaScript using SVG. I implemented a grouped bar chart for quarterly revenue by fiscal year, a dual axis line chart comparing revenue and operating income trends, and stat cards for trailing twelve month key figures. Claude Code was a core part of the workflow. I used it to accelerate the chart math, work through SVG coordinate systems, and iterate on layout decisions quickly.

Interactive tooltips on hover show the exact figure for each data point, and the charts are responsive to viewport width.

Outcome

The analysis surfaced some clear trends: Dolby's licensing revenue has grown steadily, gross margins have remained exceptionally high (consistently above 85%), and operating leverage has improved meaningfully over the period. Building it from scratch gave me a much deeper feel for the underlying data than reading a summary ever would, and reinforced how much context can be packed into a well designed chart compared to a table of numbers.