Property Data Bank (TSE:4389) Inventory Turnover: 225.13 (As of Mar. 2026)

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TSE:4389 Property Data Bank Inc TSE:4389
94 GF Score
Price 円1,036.00
GF Value 円988.83
Valuation Fairly Valued
! 3 Warning Signs
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What is Property Data Bank Inventory Turnover?

Property Data Bank TSE:4389 +2.17% 94 Inventory Turnover is 225.13 as of Mar. 2026. GuruFocus rates TSE:4389 with a GF Score™ of 94/100 and a GF Value™ of 円988.83 (Fairly Valued). The stock has 3 warning signs investors should review.

Inventory Turnover measures how fast the company turns over its inventory within a year. It is calculated as Cost of Goods Sold divided by Total Inventories. Property Data Bank's Cost of Goods Sold for the six months ended in Mar. 2026 was 円807 Mil. Property Data Bank's Average Total Inventories for the quarter that ended in Mar. 2026 was 円4 Mil. Property Data Bank's Inventory Turnover for the quarter that ended in Mar. 2026 was 225.13.

Days Inventory indicates the number of days of goods in sales that a company has in the inventory. Property Data Bank's Days Inventory for the six months ended in Mar. 2026 was 0.81.

Inventory-to-Revenue determines the ability of a company to manage their inventory levels. It measures the percentage of Inventories the company currently has on hand to support the current amount of Revenue. Property Data Bank's Inventory-to-Revenue for the quarter that ended in Mar. 2026 was 0.00.


Property Data Bank  (TSE:4389) Inventory Turnover Explanation

Inventory Turnover measures how fast the company turns over its inventory within a year. A higher Inventory Turnover means the company has light inventory. Therefore the company spends less money on storage, write downs, and obsolete inventory. If the inventory is too light, it may affect sales because the company may not have enough to meet demand.

1. Days Inventory indicates the number of days of goods in sales that a company has in the inventory.

Property Data Bank's Days Inventory for the six months ended in Mar. 2026 is calculated as:

Days Inventory =Average Total Inventories (Q: Mar. 2026 )/Cost of Goods Sold (Q: Mar. 2026 )*Days in Period
=3.584/806.883*365 / 2
=0.81

2. Inventory-to-Revenue determines the ability of a company to manage their inventory levels. It measures the percentage of Inventories the company currently has on hand to support the current amount of Revenue.

Property Data Bank's Inventory to Revenue for the quarter that ended in Mar. 2026 is calculated as

Inventory-to-Revenue=Average Total Inventories (Q: Mar. 2026 ) / Revenue (Q: Mar. 2026 )
=3.584 / 2131.633
=0.00

* For Operating Data section: All numbers are indicated by the unit behind each term and all currency related amount are in USD.
* For other sections: All numbers are in millions except for per share data, ratio, and percentage. All currency related amount are indicated in the company's associated stock exchange currency.


Be Aware

Usually retailers pile up their inventories at holiday seasons to meet the stronger demand. Therefore, the inventory of a particular quarter of a year should not be used to calculate Inventory Turnover. An average inventory is a better indication.


Property Data Bank Inventory Turnover Related Terms


Property Data Bank Inventory Turnover Historical Data

* Premium members only.

The historical data trend for Property Data Bank's Inventory Turnover can be seen below:

* For Operating Data section: All numbers are indicated by the unit behind each term and all currency related amount are in USD.
* For other sections: All numbers are in millions except for per share data, ratio, and percentage. All currency related amount are indicated in the company's associated stock exchange currency.

Property Data Bank Inventory Turnover Chart

Property Data Bank Annual Data
Trend Mar17 Mar18 Mar19 Mar20 Mar21 Mar22 Mar23 Mar24 Mar25 Mar26
Inventory Turnover
Get a 7-Day Free Trial Premium Member Only Premium Member Only 67.55 187.97 86.17 119.74 338.65

Property Data Bank Semi-Annual Data
Mar16 Mar17 Mar18 Sep18 Mar19 Sep19 Mar20 Sep20 Mar21 Sep21 Mar22 Sep22 Mar23 Sep23 Mar24 Sep24 Mar25 Sep25 Mar26
Inventory Turnover Get a 7-Day Free Trial Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only 23.87 59.35 124.50 114.32 225.13
TSE:4389
94GF Score
Property Data Bank Inc TSE:4389
Inventory Turnover is just one metric. See GF Score™, valuation, warning signs, and more.
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Property Data Bank Inventory Turnover Calculation

Property Data Bank's Inventory Turnover for the fiscal year that ended in Mar. 2026 is calculated as

Inventory Turnover (A: Mar. 2026 )
=Cost of Goods Sold / Average Total Inventories
=Cost of Goods Sold (A: Mar. 2026 ) / ((Total Inventories (A: Mar. 2025 ) + Total Inventories (A: Mar. 2026 )) / count )
=1490.047 / ((6.792 + 2.008) / 2 )
=1490.047 / 4.4
=338.65

Property Data Bank's Inventory Turnover for the quarter that ended in Mar. 2026 is calculated as

Inventory Turnover (Q: Mar. 2026 )
=Cost of Goods Sold / Average Total Inventories
=Cost of Goods Sold (Q: Mar. 2026 ) / ((Total Inventories (Q: Sep. 2025 ) + Total Inventories (Q: Mar. 2026 )) / count )
=806.883 / ((5.16 + 2.008) / 2 )
=806.883 / 3.584
=225.13

* For Operating Data section: All numbers are indicated by the unit behind each term and all currency related amount are in USD.
* For other sections: All numbers are in millions except for per share data, ratio, and percentage. All currency related amount are indicated in the company's associated stock exchange currency.

Frequently Asked Questions Learn more about Inventory Turnover →
What does a Inventory Turnover of 225.13 mean?
Property Data Bank (TSE:4389) has a Inventory Turnover of 225.13 as of Mar. 2026. Inventory turnover equals current-period cost of goods sold divided by average two-period total inventories. View historical data on Property Data Bank and its competitors.
Is Property Data Bank's Inventory Turnover too high?
Property Data Bank's current Inventory Turnover is 225.13. Overall, Property Data Bank has a GF Score™ of 94/100 and is considered Fairly Valued, reflecting its overall financial health beyond just this single metric.
How does Property Data Bank's Inventory Turnover compare to UBER and SHOP?
Property Data Bank's Inventory Turnover of 225.13 can be compared against companies in the Software industry. See the competitive comparison table and distribution chart on this page for a detailed peer-by-peer breakdown.
What is a good Inventory Turnover for a Software company?
A good Inventory Turnover depends on the Software industry context. However, Inventory Turnover should not be evaluated in isolation — investors should consider it alongside profitability, growth, and financial strength metrics. Use the industry distribution chart on this page to see where any company falls relative to its peers.
What does a high Inventory Turnover mean?
A high Inventory Turnover can signal that a stock is expensive relative to its fundamentals. Inventory turnover equals current-period cost of goods sold divided by average two-period total inventories. View historical data on Property Data Bank and its competitors. Property Data Bank's current Inventory Turnover is 225.13. However, context matters — high-growth companies often justify higher valuations. Always evaluate alongside other metrics like GF Score™ and GF Value™.
Is Property Data Bank stock overvalued right now?
Based on GuruFocus' analysis, Property Data Bank (TSE:4389) is currently considered Fairly Valued. The stock's GF Value™ is 円988.83, compared to a current price of 円1,036.00 — trading 4.8% above its estimated fair value. The current Inventory Turnover is 225.13. Property Data Bank's overall GF Score™ is 94/100 with 3 warning signs to review. Investors should evaluate multiple metrics — including profitability, growth, and financial strength — before making a decision.
How is Inventory Turnover calculated?
Inventory Turnover is calculated from a company's financial statements. For Property Data Bank (TSE:4389), the current Inventory Turnover is 225.13 as of Mar. 2026. GuruFocus calculates this using data sourced from SEC filings and annual reports. See the calculation section and 30-year financial data on this page for the full breakdown.

Is Property Data Bank (TSE:4389) Overvalued in 2026?

Based on GuruFocus' analysis, Property Data Bank stock appears to be overvalued. The current stock price of 円1,036.00 is trading 4.8% above its estimated GF Value™ of 円988.83. GuruFocus considers Property Data Bank to be Fairly Valued.

Key valuation signals for TSE:4389:

  • Inventory Turnover: 225.13
  • GF Value™: 円988.83 vs. price of 円1,036.00 (4.8% above fair value)
  • GF Score™: 94/100 with 3 warning signs

No single metric tells the full story. See the TSE:4389 stock analysis page for a complete view including 30-year financials, guru trades, and insider activity.


Property Data Bank Business Description

Address 1-30-5 Hamamatsucho, Minato-ku, Tokyo, JPN
Property Data Bank Inc is a Japan-based company engages in the provision of cloud-based software application services. The company's services include cloud services business in relation to the operations and management of assets, facilities and real estate; Information management work in relation to the operations and management of assets, facilities and real estate; and System integrator work in relation to cloud services.
94GF Score

Get the complete analysis for TSE:4389

Inventory Turnover is just one metric. See GF Value™, 30-year financials, guru trades, warning signs, and more.

円1,036.00
Price
円988.83
GF Value