Inventory Disclosure
Based on: 10-K (reporting date: 2026-06-27), 10-K (reporting date: 2025-06-28), 10-K (reporting date: 2024-06-29), 10-K (reporting date: 2023-07-01), 10-K (reporting date: 2022-07-02), 10-K (reporting date: 2021-07-03).
Total inventory levels have exhibited a strong upward trajectory over the analyzed period, increasing from US$196.4 million in 2021 to US$691.6 million in 2026. This growth is primarily driven by substantial increases in raw materials and work-in-process inventories, while finished goods have demonstrated more volatile fluctuations.
- Raw Materials and Purchased Parts
- A consistent and aggressive growth pattern is observed in raw materials, which expanded from US$64.4 million in 2021 to US$370.2 million in 2026. This steady climb suggests a strategic accumulation of inputs and potentially a hedge against supply chain volatility or the anticipation of significantly higher future production volumes.
- Work in Process (WIP)
- Work in process levels remained relatively stable between 2021 and 2024, ranging from US$79 million to US$103.2 million. However, a sharp acceleration occurred in the subsequent years, with values rising to US$159.1 million in 2025 and US$232.4 million in 2026, indicating a marked increase in active manufacturing throughput.
- Finished Goods
- Finished goods inventory displayed a non-linear trend, peaking at US$134.9 million in 2023 before declining to US$57.8 million in 2025. This peak and subsequent correction suggest a period of temporary oversupply or a mismatch between production and demand in 2023, followed by more efficient inventory turnover or increased sales velocity in 2024 and 2025, with a modest recovery to US$89 million in 2026.
- Aggregate Inventory Composition
- The composition of total inventories has shifted toward upstream assets. In 2021, raw materials represented approximately 32.8% of total inventory; by 2026, this proportion increased to approximately 53.5%. This shift indicates a transition toward a more input-heavy inventory profile, which correlates with the expansion observed in work-in-process levels and suggests a scaling of operational capacity.
AI Ask an analyst for more
Hi, I’m an AI-powered financial analyst at Stock Analysis on Net.
How can I help you?