GURUFOCUS.COM » STOCK LIST » Technology » Software » Paylocity Holding Corp (NAS:PCTY) » Definitions » Beneish M-Score

Paylocity Holding (Paylocity Holding) Beneish M-Score : -2.38 (As of Apr. 27, 2024)


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

What is Paylocity Holding 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 -2.38 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

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

PCTY' s Beneish M-Score Range Over the Past 10 Years
Min: -2.55   Med: -2.11   Max: -0.58
Current: -2.38

During the past 13 years, the highest Beneish M-Score of Paylocity Holding was -0.58. The lowest was -2.55. And the median was -2.11.


Paylocity Holding Beneish M-Score Historical Data

The historical data trend for Paylocity Holding'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.

Paylocity Holding Beneish M-Score Chart

Paylocity Holding Annual Data
Trend Jun14 Jun15 Jun16 Jun17 Jun18 Jun19 Jun20 Jun21 Jun22 Jun23
Beneish M-Score
Get a 7-Day Free Trial Premium Member Only Premium Member Only -2.16 -2.29 -2.31 -1.54 -1.96

Paylocity Holding 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 -1.61 -2.02 -1.96 -2.40 -2.38

Competitive Comparison of Paylocity Holding's Beneish M-Score

For the Software - Application subindustry, Paylocity Holding'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.


Paylocity Holding's Beneish M-Score Distribution in the Software Industry

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

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



Paylocity Holding 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 Paylocity Holding 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 * 1.0253+0.528 * 0.9759+0.404 * 0.9818+0.892 * 1.2907+0.115 * 0.8613
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 0.862+4.679 * -0.041057-0.327 * 0.9356
=-2.38

* 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 $32 Mil.
Revenue was 326.361 + 317.586 + 308.453 + 339.857 = $1,292 Mil.
Gross Profit was 218.962 + 216.119 + 211.747 + 244.143 = $891 Mil.
Total Current Assets was $3,807 Mil.
Total Assets was $4,493 Mil.
Property, Plant and Equipment(Net PPE) was $101 Mil.
Depreciation, Depletion and Amortization(DDA) was $67 Mil.
Selling, General, & Admin. Expense(SGA) was $497 Mil.
Total Current Liabilities was $3,423 Mil.
Long-Term Debt & Capital Lease Obligation was $51 Mil.
Net Income was 38.116 + 34.517 + 37.254 + 57.616 = $168 Mil.
Non Operating Income was 3.8 + 3.225 + 2.617 + 1.139 = $11 Mil.
Cash Flow from Operations was 75.07 + 62.142 + 76.616 + 127.35 = $341 Mil.
Total Receivables was $25 Mil.
Revenue was 273.008 + 253.28 + 228.947 + 245.97 = $1,001 Mil.
Gross Profit was 182.932 + 168.737 + 151.553 + 170.432 = $674 Mil.
Total Current Assets was $3,309 Mil.
Total Assets was $3,938 Mil.
Property, Plant and Equipment(Net PPE) was $106 Mil.
Depreciation, Depletion and Amortization(DDA) was $56 Mil.
Selling, General, & Admin. Expense(SGA) was $446 Mil.
Total Current Liabilities was $3,189 Mil.
Long-Term Debt & Capital Lease Obligation was $65 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)
=(32.476 / 1292.257) / (24.54 / 1001.205)
=0.025131 / 0.02451
=1.0253

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)
=(673.654 / 1001.205) / (890.971 / 1292.257)
=0.672843 / 0.689469
=0.9759

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 - (3806.698 + 100.591) / 4492.72) / (1 - (3309.022 + 106.11) / 3937.773)
=0.130307 / 0.132725
=0.9818

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
=1292.257 / 1001.205
=1.2907

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))
=(55.929 / (55.929 + 106.11)) / (67.273 / (67.273 + 100.591))
=0.345158 / 0.400759
=0.8613

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)
=(496.731 / 1292.257) / (446.477 / 1001.205)
=0.38439 / 0.44594
=0.862

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)
=((50.963 + 3422.865) / 4492.72) / ((65.353 + 3189.103) / 3937.773)
=0.773213 / 0.826471
=0.9356

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
=(167.503 - 10.781 - 341.178) / 4492.72
=-0.041057

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.

Paylocity Holding has a M-score of -2.38 suggests that the company is unlikely to be a manipulator.


Paylocity Holding Beneish M-Score Related Terms

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


Paylocity Holding (Paylocity Holding) Business Description

Traded in Other Exchanges
Address
1400 American Lane, Schaumburg, IL, USA, 60173
Paylocity is a provider of payroll and human capital management, or HCM, solutions servicing small- to midsize clients in the United States. The company was founded in 1997 and targets businesses with 10 to 5,000 employees and services about 36,000 clients as of fiscal 2023. Alongside core payroll services, Paylocity offers HCM solutions such as time and attendance and recruiting software, as well workplace collaboration and communication tools.
Executives
Ryan Glenn officer: CFO and Treasurer 1400 AMERICAN LANE, SCHAUMBERG IL 60173
Katherine Ross officer: Sr Vice President Operations 1400 AMERICAN LANE, SCHAUMBURG IL 60173
Rachit Lohani officer: Chief Technology Officer 1400 AMERICAN LANE, SCHAUMBURG IL 60173
Steven I Sarowitz director, 10 percent owner, officer: Executive Chairman 3850 N. WILKE ROAD, ARLINGTON HEIGHTS IL 60004
Nicholas Rost officer: VP & Chief Accounting Officer 1400 AMERICAN LANE, SCHAUMBURG IL 60173
Joshua Scutt officer: Senior Vice President Sales 1400 AMERICAN LANE, SCHAUMBURG IL 60173
Linda M. Breard director 3600 136 PLACE SE, SUITE 300, BELLEVUE WA 98006
Jeffrey T Diehl director, 10 percent owner ONE NORTH WACKER DRIVE, SUITE 2200, CHICAGO IL 60606-2823
Toby J. Williams officer: Chief Financial Officer 3850 N. WILKE ROAD, ARLINGTON HEIGHTS IL 60004
Bernard Robinson Kenneth director 9417 FOX CREEK LANE, MASON OH 45040
Steven R Beauchamp director, officer: President and CEO 3850 N. WILKE ROAD, ARLINGTON HEIGHTS IL 60004
Ronald V Waters director 75 EAST ELM STREET, CHICAGO IL 60611
Mark S Kinsey officer: Senior VP of Operations 3850 N WILKE ROAD, ARLINGTON HEIGHTS IL 60004
Michael R Haske officer: Senior VP of Sales & Marketing 3850 N. WILKE ROAD, ARLINGTON HEIGHTS IL 60004
Andrew Cappotelli officer: Chief Accounting Officer 3850 N. WILKE RD, ARLINGTON HEIGHTS IL 60004