Building a Capacity-Utilization Forecast for Premier Energies

Ankita set out to research Premier Energies Limited, a vertically integrated Indian solar manufacturer, as an independent equity research project. The goal was to understand the company's growth trajectory and assess its position within the broader Indian solar sector.

She structured the research in three layers. First, she mapped the industry: tracking solar sector growth trends, analyzing CAGR data, and examining government policy, including schemes to reduce China import dependency and build domestic solar cell and module manufacturing capacity. Second, she researched the company itself, covering its history, management, and strategic positioning, including its vertical integration model that covers raw material production.

The hardest part came when she moved to the fundamentals. Standard historical growth-rate forecasting did not hold for a capacity-driven manufacturer like Premier Energies. Applying average growth rates produced figures that looked neither conservative nor rational when tested against what management was actually committing to.

She shifted to a capacity-utilization model: using management's stated capacity targets from the annual report, she applied projected utilization rates to derive revenue forecasts. When she ran the numbers, the output aligned with management's own guidance and felt rational rather than mechanical. She validated the approach by running both methods in parallel and comparing the outputs.

The research is ongoing. The supply chain analysis surfaced a structural insight: Premier Energies' vertical integration is a genuine competitive moat, because a large share of solar raw materials are China-sourced, and companies without their own supply chain face significant input risk as geopolitical tensions persist.