Software Mansion S A (WAR:SWM) Asset Turnover: 0.54 (As of Dec. 2025)


WAR:SWM Software Mansion S A WAR:SWM
22 GF Score
Price zł22.90
! 1 Warning Sign
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What is Software Mansion S A Asset Turnover?

Software Mansion S A WAR:SWM +3.15% 22 Asset Turnover is 0.54 as of Dec. 2025. GuruFocus rates WAR:SWM with a GF Score™ of 22/100. The stock has 1 warning sign investors should review.

Asset Turnover measures how quickly a company turns over its asset through sales. It is calculated as Revenue divided by Total Assets. Software Mansion S A's Revenue for the three months ended in Dec. 2025 was zł31.2 Mil. Software Mansion S A's Total Assets for the quarter that ended in Dec. 2025 was zł57.5 Mil. Therefore, Software Mansion S A's Asset Turnover for the quarter that ended in Dec. 2025 was 0.54.

Asset Turnover is linked to ROE % through Du Pont Formula. Software Mansion S A's annualized ROE % for the quarter that ended in Dec. 2025 was 41.80%. It is also linked to ROA % through Du Pont Formula. Software Mansion S A's annualized ROA % for the quarter that ended in Dec. 2025 was 31.81%.


Software Mansion S A  (WAR:SWM) Asset Turnover Explanation

Asset Turnover is linked to ROE % through Du Pont Formula.

Software Mansion S A's annulized ROE % for the quarter that ended in Dec. 2025 is

ROE %**(Q: Dec. 2025 )
=Net Income/Total Stockholders Equity
=18.296/43.767
=(Net Income / Revenue)*(Revenue / Total Assets)*(Total Assets / Total Stockholders Equity)
=(18.296 / 124.64)*(124.64 / 57.518)*(57.518/ 43.767)
=Net Margin %*Asset Turnover*Equity Multiplier
=14.68 %*2.167*1.3142
=ROA %*Equity Multiplier
=31.81 %*1.3142
=41.80 %

Note: The Net Income data used here is four times the quarterly (Dec. 2025) net income data. The Revenue data used here is four times the quarterly (Dec. 2025) revenue data.

* 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.

** The ROE % used above is for Du Pont Analysis only. It is different from the defined ROE % page on our website, as here it uses Net Income instead of Net Income attributable to Common Stockholders in the calculation.

It is also linked to ROA % through Du Pont Formula:

Software Mansion S A's annulized ROA % for the quarter that ended in Dec. 2025 is

ROA %(Q: Dec. 2025 )
=Net Income/Total Assets
=18.296/57.518
=(Net Income / Revenue)*(Revenue / Total Assets)
=(18.296 / 124.64)*(124.64 / 57.518)
=Net Margin %*Asset Turnover
=14.68 %*2.167
=31.81 %

Note: The Net Income data used here is four times the quarterly (Dec. 2025) net income data. The Revenue data used here is four times the quarterly (Dec. 2025) revenue data.

* 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

In the article Joining The Dark Side: Pirates, Spies and Short Sellers, James Montier reported that In their US sample covering the period 1968-2003, Cooper et al find that firms with low asset growth outperformed firms with high asset growth by an astounding 20% p.a. equally weighted. Even when controlling for market, size and style, low asset growth firms outperformed high asset growth firms by 13% p.a. Therefore a company with fast asset growth may underperform.

Therefore, it is a good sign if a company's Asset Turnover is consistent or even increases. If a company's asset grows faster than sales, its Asset Turnover will decline, which can be a warning sign.


Software Mansion S A Asset Turnover Related Terms


Software Mansion S A Asset Turnover Historical Data

* Premium members only.

The historical data trend for Software Mansion S A's Asset 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.

Software Mansion S A Asset Turnover Chart

Software Mansion S A Annual Data
Trend Dec21 Dec22 Dec23 Dec24 Dec25
Asset Turnover
0.00 3.28 2.48 2.11 1.96

Software Mansion S A Quarterly Data
Dec21 Jun22 Dec22 Mar23 Jun23 Sep23 Dec23 Mar24 Jun24 Sep24 Dec24 Mar25 Jun25 Sep25 Dec25
Asset 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 0.53 0.46 0.41 0.42 0.54

WAR:SWM vs MSFT, ORCL, PLTR: Asset Turnover Comparison

For the Software - Infrastructure subindustry, Software Mansion S A's Asset Turnover, along with its competitors' market caps and Asset Turnover 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.


Software Mansion S A Asset Turnover vs Software Industry

For the Software industry and Technology sector, Software Mansion S A's Asset Turnover distribution charts can be found below:

* The bar in red indicates where Software Mansion S A's Asset Turnover falls into.


WAR:SWM
22GF Score
Software Mansion S A WAR:SWM
Asset Turnover is just one metric. See GF Score™, valuation, warning signs, and more.
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Software Mansion S A Asset Turnover Calculation

Asset Turnover measures how quickly a company turns over its asset through sales.

Software Mansion S A's Asset Turnover for the fiscal year that ended in Dec. 2025 is calculated as

Asset Turnover
=Revenue/Average Total Assets
=Revenue (A: Dec. 2025 )/( (Total Assets (A: Dec. 2024 )+Total Assets (A: Dec. 2025 ))/ count )
=118.115/( (60.141+60.302)/ 2 )
=118.115/60.2215
=1.96

Software Mansion S A's Asset Turnover for the quarter that ended in Dec. 2025 is calculated as

Asset Turnover
=Revenue/Average Total Assets
=Revenue (Q: Dec. 2025 )/( (Total Assets (Q: Sep. 2025 )+Total Assets (Q: Dec. 2025 ))/ count )
=31.16/( (54.734+60.302)/ 2 )
=31.16/57.518
=0.54

* 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.

Companies with low profit margins tend to have high Asset Turnover, while those with high profit margins have low Asset Turnover. Companies in the retail industry tend to have a very high turnover ratio.

Frequently Asked Questions Learn more about Asset Turnover →
What does a Asset Turnover of 0.54 mean?
Software Mansion S A (WAR:SWM) has a Asset Turnover of 0.54 as of Dec. 2025. Asset turnover equals current-period sales over average total assets over the past two periods. View historical data on Software Mansion S A and its competitors.
Is Software Mansion S A's Asset Turnover too high?
Software Mansion S A's current Asset Turnover is 0.54. Overall, Software Mansion S A has a GF Score™ of 22/100, reflecting its overall financial health beyond just this single metric.
How does Software Mansion S A's Asset Turnover compare to MSFT and ORCL?
Software Mansion S A's Asset Turnover of 0.54 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 Asset Turnover for a Software company?
A good Asset Turnover depends on the Software industry context. However, Asset 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 Asset Turnover mean?
A high Asset Turnover can signal that a stock is expensive relative to its fundamentals. Asset turnover equals current-period sales over average total assets over the past two periods. View historical data on Software Mansion S A and its competitors. Software Mansion S A's current Asset Turnover is 0.54. However, context matters — high-growth companies often justify higher valuations. Always evaluate alongside other metrics like GF Score™ and GF Value™.
Is Software Mansion S A stock overvalued right now?
Software Mansion S A (WAR:SWM) has a current Asset Turnover of 0.54. The current Asset Turnover is 0.54. Software Mansion S A's overall GF Score™ is 22/100 with 1 warning sign to review. Investors should evaluate multiple metrics — including profitability, growth, and financial strength — before making a decision.
How is Asset Turnover calculated?
Asset Turnover is calculated from a company's financial statements. For Software Mansion S A (WAR:SWM), the current Asset Turnover is 0.54 as of Dec. 2025. 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.

Software Mansion S A Business Description

Address ul. Zab?ocie 43b, Krakow, POL, 30-701
Software Mansion S A is Krakow based software company that deals with solving technological challenges for their clients and developing open-source technologies. It cooperates with a variety of clients, including technological start-ups from Silicon Valley and New York, as well as well-known companies with a stable position on the market. Their portfolio includes projects from industries such as Ed-Tech, Fin-Tech, blockchain, healthcare, e-commerce, multimedia and consumer applications.
22GF Score

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

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