GURUFOCUS.COM » STOCK LIST » Technology » Software » A10 Networks Inc (NYSE:ATEN) » Definitions » Beneish M-Score

A10 Networks (A10 Networks) Beneish M-Score : -2.52 (As of Apr. 26, 2024)


View and export this data going back to 2014. Start your Free Trial

What is A10 Networks Beneish M-Score?

The zones of discrimination for M-Score is as such:

An M-Score of equal or less than -1.78 suggests that the company is unlikely to be a manipulator.
An M-Score of greater than -1.78 signals that the company is likely to be a manipulator.

Good Sign:

Beneish M-Score -2.52 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

The historical rank and industry rank for A10 Networks's Beneish M-Score or its related term are showing as below:

ATEN' s Beneish M-Score Range Over the Past 10 Years
Min: -3.63   Med: -2.67   Max: -0.25
Current: -2.52

During the past 13 years, the highest Beneish M-Score of A10 Networks was -0.25. The lowest was -3.63. And the median was -2.67.


A10 Networks Beneish M-Score Historical Data

The historical data trend for A10 Networks's Beneish M-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.

* Premium members only.

A10 Networks Beneish M-Score Chart

A10 Networks Annual Data
Trend Dec14 Dec15 Dec16 Dec17 Dec18 Dec19 Dec20 Dec21 Dec22 Dec23
Beneish M-Score
Get a 7-Day Free Trial Premium Member Only Premium Member Only -2.69 -3.13 -0.25 -2.52 -2.52

A10 Networks Quarterly Data
Mar19 Jun19 Sep19 Dec19 Mar20 Jun20 Sep20 Dec20 Mar21 Jun21 Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23 Dec23
Beneish M-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 Premium Member Only -2.52 -2.14 -2.58 -3.04 -2.52

Competitive Comparison of A10 Networks's Beneish M-Score

For the Software - Infrastructure subindustry, A10 Networks's Beneish M-Score, along with its competitors' market caps and Beneish M-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.


A10 Networks's Beneish M-Score Distribution in the Software Industry

For the Software industry and Technology sector, A10 Networks's Beneish M-Score distribution charts can be found below:

* The bar in red indicates where A10 Networks's Beneish M-Score falls into.



A10 Networks Beneish M-Score Calculation

The M-score was created by Professor Messod Beneish. Instead of measuring the bankruptcy risk (Altman Z-Score) or business trend (Piotroski F-Score), M-score can be used to detect the risk of earnings manipulation. This is the original research paper on M-score.

The M-Score Variables:

The M-score of A10 Networks for today is based on a combination of the following eight different indices:

M=-4.84+0.92 * DSRI+0.528 * GMI+0.404 * AQI+0.892 * SGI+0.115 * DEPI
=-4.84+0.92 * 1.1348+0.528 * 0.985+0.404 * 0.9543+0.892 * 0.8978+0.115 * 0.9087
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 1.0922+4.679 * -0.013332-0.327 * 0.8614
=-2.52

* 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 (Dec23) TTM:Last Year (Dec22) TTM:
Total Receivables was $74.3 Mil.
Revenue was 70.417 + 57.775 + 65.817 + 57.691 = $251.7 Mil.
Gross Profit was 57.143 + 46.766 + 52.354 + 47.475 = $203.7 Mil.
Total Current Assets was $271.8 Mil.
Total Assets was $389.8 Mil.
Property, Plant and Equipment(Net PPE) was $46.3 Mil.
Depreciation, Depletion and Amortization(DDA) was $9.3 Mil.
Selling, General, & Admin. Expense(SGA) was $109.9 Mil.
Total Current Liabilities was $111.1 Mil.
Long-Term Debt & Capital Lease Obligation was $11.8 Mil.
Net Income was 17.917 + 6.469 + 11.626 + 3.958 = $40.0 Mil.
Non Operating Income was 0 + 0.987 + 1.884 + -2.218 = $0.7 Mil.
Cash Flow from Operations was 2.731 + 23.061 + 19.568 + -0.846 = $44.5 Mil.
Total Receivables was $72.9 Mil.
Revenue was 77.634 + 72.059 + 67.973 + 62.672 = $280.3 Mil.
Gross Profit was 61.891 + 57.294 + 54.488 + 49.833 = $223.5 Mil.
Total Current Assets was $257.0 Mil.
Total Assets was $369.1 Mil.
Property, Plant and Equipment(Net PPE) was $40.9 Mil.
Depreciation, Depletion and Amortization(DDA) was $7.4 Mil.
Selling, General, & Admin. Expense(SGA) was $112.0 Mil.
Total Current Liabilities was $118.2 Mil.
Long-Term Debt & Capital Lease Obligation was $16.8 Mil.




1. DSRI = Days Sales in Receivables Index

Measured as the ratio of Revenue in Total Receivables in year t to year t-1.

A large increase in DSR could be indicative of revenue inflation.

DSRI=(Receivables_t / Revenue_t) / (Receivables_t-1 / Revenue_t-1)
=(74.307 / 251.7) / (72.928 / 280.338)
=0.295221 / 0.260143
=1.1348

2. GMI = Gross Margin Index

Measured as the ratio of gross margin in year t-1 to gross margin in year t.

Gross margin has deteriorated when this index is above 1. A firm with poorer prospects is more likely to manipulate earnings.

GMI=GrossMargin_t-1 / GrossMargin_t
=(GrossProfit_t-1 / Revenue_t-1) / (GrossProfit_t / Revenue_t)
=(223.506 / 280.338) / (203.738 / 251.7)
=0.797273 / 0.809448
=0.985

3. AQI = Asset Quality Index

AQI is the ratio of asset quality in year t to year t-1.

Asset quality is measured as the ratio of non-current assets other than Property, Plant and Equipment to Total Assets.

AQI=(1 - (CurrentAssets_t + PPE_t) / TotalAssets_t) / (1 - (CurrentAssets_t-1 + PPE_t-1) / TotalAssets_t-1)
=(1 - (271.824 + 46.252) / 389.809) / (1 - (256.991 + 40.94) / 369.105)
=0.184021 / 0.192829
=0.9543

4. SGI = Sales Growth Index

Ratio of Revenue in year t to sales in year t-1.

Sales growth is not itself a measure of manipulation. However, growth companies are likely to find themselves under pressure to manipulate in order to keep up appearances.

SGI=Sales_t / Sales_t-1
=Revenue_t / Revenue_t-1
=251.7 / 280.338
=0.8978

5. DEPI = Depreciation Index

Measured as the ratio of the rate of Depreciation, Depletion and Amortization in year t-1 to the corresponding rate in year t.

DEPI greater than 1 indicates that assets are being depreciated at a slower rate. This suggests that the firm might be revising useful asset life assumptions upwards, or adopting a new method that is income friendly.

DEPI=(Depreciation_t-1 / (Depreciaton_t-1 + PPE_t-1)) / (Depreciation_t / (Depreciaton_t + PPE_t))
=(7.381 / (7.381 + 40.94)) / (9.346 / (9.346 + 46.252))
=0.152749 / 0.1681
=0.9087

Note: If the Depreciation, Depletion and Amortization data is not available, we assume that the depreciation rate is constant and set the Depreciation Index to 1.

6. SGAI = Sales, General and Administrative expenses Index

The ratio of Selling, General, & Admin. Expense(SGA) to Sales in year t relative to year t-1.

SGA expenses index > 1 means that the company is becoming less efficient in generate sales.

SGAI=(SGA_t / Sales_t) / (SGA_t-1 /Sales_t-1)
=(109.861 / 251.7) / (112.03 / 280.338)
=0.436476 / 0.399625
=1.0922

7. LVGI = Leverage Index

The ratio of total debt to Total Assets in year t relative to yeat t-1.

An LVGI > 1 indicates an increase in leverage

LVGI=((LTD_t + CurrentLiabilities_t) / TotalAssets_t) / ((LTD_t-1 + CurrentLiabilities_t-1) / TotalAssets_t-1)
=((11.822 + 111.069) / 389.809) / ((16.846 + 118.248) / 369.105)
=0.31526 / 0.366004
=0.8614

8. TATA = Total Accruals to Total Assets

Total accruals calculated as the change in working capital accounts other than cash less depreciation.

TATA=(IncomefromContinuingOperations_t - CashFlowsfromOperations_t) / TotalAssets_t
=(NetIncome_t - NonOperatingIncome_t - CashFlowsfromOperations_t) / TotalAssets_t
=(39.97 - 0.653 - 44.514) / 389.809
=-0.013332

An M-Score of equal or less than -1.78 suggests that the company is unlikely to be a manipulator. An M-Score of greater than -1.78 signals that the company is likely to be a manipulator.

A10 Networks has a M-score of -2.52 suggests that the company is unlikely to be a manipulator.


A10 Networks Beneish M-Score Related Terms

Thank you for viewing the detailed overview of A10 Networks's Beneish M-Score provided by GuruFocus.com. Please click on the following links to see related term pages.


A10 Networks (A10 Networks) Business Description

Traded in Other Exchanges
Address
2300 Orchard Parkway, San Jose, CA, USA, 95131
A10 Networks Inc is a provider of secure application solutions and services that enables a new generation of intelligently connected companies, the ability to continuously improve cyber protection and digital responsiveness across dynamic Information Technology and network infrastructures. Its portfolio consists of six secure application solutions; Thunder Application Delivery Controller, Lightning Application Delivery Controller, Thunder Carrier Grade Networking, Thunder Threat Protection System, Thunder SSL Insight and Thunder Convergent Firewall, and two intelligent management and automation tools; Harmony Controller and aGalaxy TPS. Key revenue is generated from the Americas, with the rest coming from Europe, the Middle East and Africa, plus the Asia Pacific region.
Executives
Dhrupad Trivedi officer: Chief Executive Officer 1 N. BRENTWOOD BLVD., SUITE 1599, SAINT LOUIS MO 63105
Matthew P Bruening officer: EVP, Worldwide Sales & Mktg 2300 ORCHARD PARKWAY, SAN JOSE CA 95131
Karen S. Thomas officer: EVP, Worldwide Sales and Mkt 2300 ORCHARD PARKWAY, SAN JOSE CA 95125
Brian Becker officer: Interim CFO 230 HOWES DRIVE, LOS GATOS CA 95032
Robert Scott Weber officer: General Counsel 2300 ORCHARD PARKWAY, SAN JOSE CA 95131
Peter Y Chung director, other: Indirect GP of 10% Owner C/O SUMMIT PARTNERS, 222 BERKELEY STREET, 18TH FLR, BOSTON MA 02116
Viex Opportunities Fund, Lp Series One other: See Explanation of Responses C/O VIEX CAPITAL ADVISORS, LLC, 825 THIRD AVENUE, 33RD FLOOR, NEW YORK NY 10022
Robert D Cochran director, officer: VP, Legal & Corp Collaboration 2300 ORCHARD PARKWAY, SAN JOSE CA 95131
Dana Elizabeth Wolf director 2300 ORCHARD PARKWAY, SAN JOSE CA 95131
Viex Opportunities Fund, Lp - Series Two other: See Explanation of Responses C/O VIEX CAPITAL ADVISORS, LLC, 825 THIRD AVENUE, 33RD FLOOR, NEW YORK NY 10022
Summit Partners L P other: Manager of GP of 10% Owner 222 BERKELEY STREET, 18TH FLOOR, BOSTON MA 02116
Mary Dotz director 280 N BERNARDO AVENUE, MOUNTAIN VIEW CA 94043
Gunter Reiss officer: VP Worldwide Mktg & Bus Dev 2300 ORCHARD PARKWAY, SAN JOSE CA 95131
Thomas Constantino officer: EVP, Chief Financial Officer 2300 ORCHARD PARKWAY, SAN JOSE CA 95131
Lee Chen director, 10 percent owner, officer: CEO and President C/O A10 NETWORKS, INC, 2300 ORCHARD PARK, SAN JOSE CA 95131