TRI Pointe Homes Inc (TPH)
Inventory turnover
Dec 31, 2024 | Sep 30, 2024 | Jun 30, 2024 | Mar 31, 2024 | Dec 31, 2023 | Sep 30, 2023 | Jun 30, 2023 | Mar 31, 2023 | Dec 31, 2022 | Sep 30, 2022 | Jun 30, 2022 | Mar 31, 2022 | Dec 31, 2021 | Sep 30, 2021 | Jun 30, 2021 | Mar 31, 2021 | Dec 31, 2020 | Sep 30, 2020 | Jun 30, 2020 | Mar 31, 2020 | ||
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Cost of revenue (ttm) | US$ in thousands | 3,440,546 | 3,451,446 | 3,221,353 | 3,007,918 | 2,881,159 | 3,045,941 | 3,175,497 | 3,246,741 | 3,187,792 | 2,967,783 | 2,950,085 | 2,979,641 | 2,990,114 | 2,882,111 | 2,769,582 | 2,605,101 | 2,532,348 | 2,615,402 | 2,546,337 | 2,524,117 |
Inventory | US$ in thousands | 3,153,460 | 3,412,630 | 3,465,810 | 3,422,880 | 3,337,480 | 3,412,800 | 3,193,330 | 3,142,410 | 3,173,850 | 3,608,300 | 3,490,320 | 3,288,350 | 3,054,740 | 3,136,480 | 3,085,580 | 3,015,980 | 2,910,140 | 2,989,380 | 3,012,620 | 3,194,150 |
Inventory turnover | 1.09 | 1.01 | 0.93 | 0.88 | 0.86 | 0.89 | 0.99 | 1.03 | 1.00 | 0.82 | 0.85 | 0.91 | 0.98 | 0.92 | 0.90 | 0.86 | 0.87 | 0.87 | 0.85 | 0.79 |
December 31, 2024 calculation
Inventory turnover = Cost of revenue (ttm) ÷ Inventory
= $3,440,546K ÷ $3,153,460K
= 1.09
TRI Pointe Homes Inc's inventory turnover ratio has shown some fluctuations over the period from March 31, 2020, to December 31, 2024. The ratio started at 0.79 on March 31, 2020, indicating that the company's inventory turned over approximately 0.79 times during that period. Subsequently, there was a general trend of improvement in inventory turnover, reaching a peak of 1.09 on December 31, 2024.
The inventory turnover ratio measures how efficiently a company manages its inventory by indicating how many times the inventory is sold and replaced over a specific period. A higher turnover ratio is generally preferred as it suggests that the company is selling its inventory more quickly, reducing the risk of obsolescence and carrying costs.
Throughout the analyzed period, TRI Pointe Homes Inc's inventory turnover ratio demonstrated an overall positive trend, with some minor fluctuations. Specifically, the ratio improved from 0.79 to 1.09, reflecting more efficient management of inventory over time. This improvement could be attributed to various factors, such as better demand forecasting, improved inventory management practices, or more effective sales and marketing strategies. However, the slight decline observed in the latest data points should be monitored to ensure that it does not indicate potential inventory management challenges.
Peer comparison
Dec 31, 2024
Dec 31, 2024