Inventory Turnover Ratio
Calculate the inventory turnover ratio, an efficiency ratio that measures how quickly a company sells its inventory.
The inventory turnover ratio is calculated by dividing the cost of goods sold (COGS) by the average inventory value. It indicates how many times a company’s inventory is sold and replaced over a period. A higher inventory turnover ratio suggests that a company is effectively managing its inventory by quickly converting it into sales.
The formula is as follows:
\[\text{Inventory Turnover Ratio} = \text{Cost of Goods Sold} / \text{Average Inventory}\]Also known as: stock turnover ratio.
No programming experience? With the Finance Toolkit MCP server, AI assistants such as Claude and ChatGPT can calculate the Inventory Turnover Ratio for you. Just ask in plain English.
Calculate the Inventory Turnover Ratio in Python
The Inventory Turnover Ratio is available in the Ratios module of the open-source Finance Toolkit. Install it with:
pip install financetoolkit -U
Then call get_inventory_turnover_ratio as shown below.
from financetoolkit import Toolkit
toolkit = Toolkit(["AAPL", "TSLA"], api_key="FINANCIAL_MODELING_PREP_KEY")
inventory_turnover_ratios = toolkit.ratios.get_inventory_turnover_ratio()
Which returns:
| 2021 | 2022 | 2023 | 2024 | 2025 | |
|---|---|---|---|---|---|
| AAPL | 40.0303 | 38.7899 | 37.9777 | 30.8955 | 33.9834 |
| TSLA | 8.1593 | 6.5185 | 5.9787 | 6.2582 | 6.3692 |
Parameters
get_inventory_turnover_ratio accepts the following parameters:
- rounding (int, optional): The number of decimals to round the results to. Defaults to 4.
- growth (bool, optional): Whether to calculate the growth of the ratios. Defaults to False.
- lag (int | str, optional): The lag to use for the growth calculation. Defaults to 1.
- standardize (bool, optional): Whether to standardize (Z-Score) the result. When combined with growth=True, standardizes the growth values instead of the raw values. Defaults to False.
- trailing (int): Defines whether to select a trailing period. E.g. when selecting 4 with quarterly data, the TTM is calculated.
Related Efficiency Ratios
The Ratios module page introduces the module, and the sidebar lists all of its functions.