Property Data Bank (TSE:4389) Piotroski F-Score: 4 (As of Jul. 14, 2026) — 33% Below Median

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TSE:4389 Property Data Bank Inc TSE:4389
95 GF Score
Price 円1,040.00
GF Value 円986.96
Valuation Fairly Valued
! 4 Warning Signs
View Full Analysis

What is Property Data Bank Piotroski F-Score?

Property Data Bank TSE:4389 -3.58% 95 Piotroski F-Score is 4 as of Jul. 14, 2026, which is 33% below its 10-year median of 6.00. GuruFocus rates TSE:4389 with a GF Score™ of 95/100 and a GF Value™ of 円986.96 (Fairly Valued). The stock has 4 warning signs investors should review. Among 2,740 Software companies, Property Data Bank ranks worse than 60.33% on this metric.

The zones of discrimination were as such:

Good or high score = 7, 8, 9
Bad or low score = 0, 1, 2, 3

Property Data Bank has an F-score of 4 indicating the company's financial situation is typical for a stable company.

The historical rank and industry rank for Property Data Bank's Piotroski F-Score or its related term are showing as below:

TSE:4389' s Piotroski F-Score Range Over the Past 10 Years
Min: 3   Med: 6   Max: 8
Current: 4

During the past 11 years, the highest Piotroski F-Score of Property Data Bank was 8. The lowest was 3. And the median was 6.

Property Data Bank  (TSE:4389) Piotroski F-Score Explanation

The developer of the system is Joseph D. Piotroski is relatively unknown accounting professor who shuns publicity and rarely gives interviews.

He graduated from the University of Illinois with a B.S. in accounting in 1989, received an M.B.A. from Indiana University in 1994. Five years later, in 1999, after earning a Ph.D. in accounting from the University of Michigan, he became an associate professor of accounting at the University of Chicago.

In 2000, he wrote a research paper called "Value Investing: The Use of Historical Financial Statement Information to Separate Winners from Losers" (pdf).

He wanted to see if he can develop a system (using a simple nine-point scoring system) that can increase the returns of a strategy of investing in low price to book (referred to in the paper as high book to market) value companies.

What he found was something that exceeded his most optimistic expectations.

Buying only those companies that scored highest (8 or 9) on his nine-point scale, or F-Score as he called it, over the 20 year period from 1976 to 1996 led to an average out-performance over the market of 13.4%.

Even more impressive were the results of a strategy of investing in the highest F-Score companies (8 or 9) and shorting companies with the lowest F-Score (0 or 1).

Over the same period from 1976 to 1996 (20 years) this strategy led to an average yearly return of 23%, substantially outperforming the average S&P 500 index return of 15.83% over the same period.


Property Data Bank Piotroski F-Score Related Terms


Property Data Bank Piotroski F-Score Historical Data

* Premium members only.

The historical data trend for Property Data Bank's Piotroski F-Score 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 Piotroski F-Score Chart

Property Data Bank Annual Data
Trend Mar17 Mar18 Mar19 Mar20 Mar21 Mar22 Mar23 Mar24 Mar25 Mar26
Piotroski F-Score
Get a 7-Day Free Trial Premium Member Only Premium Member Only 6.00 8.00 5.00 7.00 4.00

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
Piotroski F-Score 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 5.00 0.00 7.00 0.00 4.00

TSE:4389 vs UBER, SHOP, CRM: Piotroski F-Score Comparison

For the Software - Application subindustry, Property Data Bank's Piotroski F-Score, along with its competitors' market caps and Piotroski F-Score data, can be viewed below:

* Competitive companies are chosen from companies within the same industry, with headquarter located in same country, with closest market capitalization; x-axis shows the market cap, and y-axis shows the term value; the bigger the dot, the larger the market cap. Note that "N/A" values will not show up in the chart.


Property Data Bank Piotroski F-Score vs Software Industry

For the Software industry and Technology sector, Property Data Bank's Piotroski F-Score distribution charts can be found below:

* The bar in red indicates where Property Data Bank's Piotroski F-Score falls into.


TSE:4389
95GF Score
Property Data Bank Inc TSE:4389
Piotroski F-Score is just one metric. See GF Score™, valuation, warning signs, and more.
View Full Analysis

How is the Piotroski F-Score calculated?

* 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.

This Year (Mar26) TTM:Last Year (Mar25) TTM:
Net Income was 円716 Mil.
Cash Flow from Operations was 円712 Mil.
Revenue was 円3,721 Mil.
Gross Profit was 円2,231 Mil.
Average Total Assets from the begining of this year (Mar25)
to the end of this year (Mar26) was (4836.801 + 4629.439) / 2 = 円4733.12 Mil.
Total Assets at the begining of this year (Mar25) was 円4,837 Mil.
Long-Term Debt & Capital Lease Obligation was 円400 Mil.
Total Current Assets was 円3,227 Mil.
Total Current Liabilities was 円802 Mil.
Net Income was 円634 Mil.

Revenue was 円3,320 Mil.
Gross Profit was 円1,981 Mil.
Average Total Assets from the begining of last year (Mar24)
to the end of last year (Mar25) was (3895.642 + 4836.801) / 2 = 円4366.2215 Mil.
Total Assets at the begining of last year (Mar24) was 円3,896 Mil.
Long-Term Debt & Capital Lease Obligation was 円0 Mil.
Total Current Assets was 円3,258 Mil.
Total Current Liabilities was 円856 Mil.

*Note: If the latest quarterly/semi-annual/annual total assets data is 0, then we will use previous quarterly/semi-annual/annual data for all the items in the balance sheet.

Profitability

Question 1. Return on Assets (ROA)

Net income before extraordinary items for the year divided by Total Assets at the beginning of the year.

Score 1 if positive, 0 if negative.

Property Data Bank's current Net Income (TTM) was 716. ==> Positive ==> Score 1.

Question 2. Cash Flow Return on Assets (CFROA)

Net cash flow from operating activities (operating cash flow) divided by Total Assets at the beginning of the year.

Score 1 if positive, 0 if negative.

Property Data Bank's current Cash Flow from Operations (TTM) was 712. ==> Positive ==> Score 1.

Question 3. Change in Return on Assets

Compare this year's return on assets (1) to last year's return on assets.

Score 1 if it's higher, 0 if it's lower.

ROA (This Year)=Net Income/Total Assets (Mar25)
=716.218/4836.801
=0.1480768

ROA (Last Year)=Net Income/Total Assets (Mar24)
=634.46/3895.642
=0.16286404

Property Data Bank's return on assets of this year was 0.1480768. Property Data Bank's return on assets of last year was 0.16286404. ==> Last year is higher ==> Score 0.

Question 4. Quality of Earnings (Accrual)

Compare Cash flow return on assets (2) to return on assets (1)

Score 1 if CFROA > ROA, 0 if CFROA <= ROA.

Property Data Bank's current Net Income (TTM) was 716. Property Data Bank's current Cash Flow from Operations (TTM) was 712. ==> 712 <= 716 ==> CFROA <= ROA ==> Score 0.

Funding

Question 5. Change in Gearing or Leverage

Compare this year's gearing (long-term debt divided by average total assets) to last year's gearing.

Score 0 if this year's gearing is higher, 1 otherwise.

Gearing (This Year: Mar26)=Long-Term Debt & Capital Lease Obligation/Average Total Assets from Mar25 to Mar26
=400.004/4733.12
=0.0845117

Gearing (Last Year: Mar25)=Long-Term Debt & Capital Lease Obligation/Average Total Assets from Mar24 to Mar25
=0/4366.2215
=0

Property Data Bank's gearing of this year was 0.0845117. Property Data Bank's gearing of last year was 0. ==> Last year is lower than this year ==> Score 0.

Question 6. Change in Working Capital (Liquidity)

Compare this year's current ratio (current assets divided by current liabilities) to last year's current ratio.

Score 1 if this year's current ratio is higher, 0 if it's lower

Current Ratio (This Year: Mar26)=Total Current Assets/Total Current Liabilities
=3226.959/802.102
=4.02312798

Current Ratio (Last Year: Mar25)=Total Current Assets/Total Current Liabilities
=3258.092/856.353
=3.80461328

Property Data Bank's current ratio of this year was 4.02312798. Property Data Bank's current ratio of last year was 3.80461328. ==> This year's current ratio is higher. ==> Score 1.

Question 7. Change in Shares in Issue

Compare the number of shares in issue this year, to the number in issue last year.

Score 0 if there is larger number of shares in issue this year, 1 otherwise.

Property Data Bank's number of shares in issue this year was 11.786. Property Data Bank's number of shares in issue last year was 11.728. ==> There is larger number of shares in issue this year. ==> Score 0.

Efficiency

Question 8. Change in Gross Margin

Compare this year's gross margin (Gross Profit divided by sales) to last year's.

Score 1 if this year's gross margin is higher, 0 if it's lower.

Gross Margin (This Year: TTM)=Gross Profit/Revenue
=2231.168/3721.215
=0.59958051

Gross Margin (Last Year: TTM)=Gross Profit/Revenue
=1980.719/3320.014
=0.59659959

Property Data Bank's gross margin of this year was 0.59958051. Property Data Bank's gross margin of last year was 0.59659959. ==> This year's gross margin is higher. ==> Score 1.

Question 9. Change in asset turnover

Compare this year's asset turnover (total sales for the year divided by total assets at the beginning of the year) to last year's asset turnover ratio.

Score 1 if this year's asset turnover ratio is higher, 0 if it's lower

Asset Turnover (This Year)=Revenue/Total Assets at the Beginning of This Year (Mar25)
=3721.215/4836.801
=0.76935458

Asset Turnover (Last Year)=Revenue/Total Assets at the Beginning of Last Year (Mar24)
=3320.014/3895.642
=0.85223796

Property Data Bank's asset turnover of this year was 0.76935458. Property Data Bank's asset turnover of last year was 0.85223796. ==> Last year's asset turnover is higher ==> Score 0.

Evaluation

Piotroski F-Score= Que. 1+ Que. 2+ Que. 3+Que. 4+Que. 5+Que. 6+Que. 7+Que. 8+Que. 9
=1+1+0+0+0+1+0+1+0
=4

Good or high score = 7, 8, 9
Bad or low score = 0, 1, 2, 3

Property Data Bank has an F-score of 4 indicating the company's financial situation is typical for a stable company.

Frequently Asked Questions Learn more about Piotroski F-Score →
What does a Piotroski F-Score of 4 mean?
Property Data Bank (TSE:4389) has a Piotroski F-Score of 4 as of Jul. 14, 2026. The Piotroski F-score grades a company's business operating strength from 0-9. View historical data on Property Data Bank and its competitors. This is 33% below median its historical median of 6.00. Over the past decade, Property Data Bank's Piotroski F-Score has ranged from 3.00 to 8.00. According to the industry distribution chart, Property Data Bank ranks #1653 out of 2740 companies in the Software industry, placing it in the top 60.3%.
Is Property Data Bank's Piotroski F-Score too high?
Property Data Bank's current Piotroski F-Score of 4 is 33% below median its 10-year median of 6.00. Over the past 10 years, this metric has ranged from a low of 3.00 to a high of 8.00. The Software industry median Piotroski F-Score is 5.00. Property Data Bank's value of 4 is 20% below this industry median. Based on the distribution chart, Property Data Bank ranks #1653 out of 2740 companies in the Software industry, which is below the industry midpoint. Overall, Property Data Bank has a GF Score™ of 95/100 and is considered Fairly Valued, reflecting its overall financial health beyond just this single metric.
How does Property Data Bank's Piotroski F-Score compare to UBER and SHOP?
According to the Software industry distribution chart, Property Data Bank ranks #1653 out of 2740 companies for Piotroski F-Score. This places Property Data Bank in the lower half of its industry. The industry median Piotroski F-Score is 5.00. Property Data Bank's value of 4 is 20% below this benchmark. Historically, Property Data Bank's own Piotroski F-Score has ranged from 3.00 to 8.00 over the past decade. While the company's 10-year median is 6.00 vs. the industry median of 5.00, Property Data Bank has consistently been below the industry average. See the competitive comparison table and distribution chart on this page for a detailed peer-by-peer breakdown.
What is a good Piotroski F-Score for a Software company?
The median Piotroski F-Score among Software companies is 5.00, based on 2,740 companies in the industry. Companies in the top quartile (top 25%) have a Piotroski F-Score significantly above this median, while those in the bottom quartile fall well below. However, Piotroski F-Score should not be evaluated in isolation — investors should consider it alongside profitability, growth, and financial strength metrics. Property Data Bank's current Piotroski F-Score of 4 is 20% below the industry median. Use the industry distribution chart on this page to see where any company falls relative to its peers.
What does a high Piotroski F-Score mean?
A high Piotroski F-Score can signal that a stock is expensive relative to its fundamentals. The Piotroski F-score grades a company's business operating strength from 0-9. View historical data on Property Data Bank and its competitors. For the Software industry, the median Piotroski F-Score is 5.00 — values significantly above this may indicate overvaluation, while values below may suggest a bargain or underlying issues. Property Data Bank's current Piotroski F-Score is 4, which is 33% below median its own 10-year median of 6.00. 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986.96, compared to a current price of 円1,040.00 — trading 5.4% above its estimated fair value. The current Piotroski F-Score is 4, which is 33% below median its 10-year median of 6.00 and 20% below the Software industry median of 5.00. Property Data Bank's overall GF Score™ is 95/100 with 4 warning signs to review. Investors should evaluate multiple metrics — including profitability, growth, and financial strength — before making a decision.
How is Piotroski F-Score calculated?
Piotroski F-Score is calculated from a company's financial statements. For Property Data Bank (TSE:4389), the current Piotroski F-Score is 4 as of Jul. 14, 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1,040.00 is trading 5.4% above its estimated GF Value™ of 円986.96. GuruFocus considers Property Data Bank to be Fairly Valued.

Key valuation signals for TSE:4389:

  • Piotroski F-Score: 4 (33% below median its 10-year median of 6.00)
  • GF Value™: 円986.96 vs. price of 円1,040.00 (5.4% above fair value)
  • GF Score™: 95/100 with 4 warning signs
  • Industry Position: 20% below the Software median (#1653 of 2740)

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.
95GF Score

Get the complete analysis for TSE:4389

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

円1,040.00
Price
円986.96
GF Value