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Professional Diversity Network (Professional Diversity Network) Beneish M-Score : -3.72 (As of Apr. 26, 2024)


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What is Professional Diversity Network 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 -3.72 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

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

IPDN' s Beneish M-Score Range Over the Past 10 Years
Min: -5.45   Med: -2.35   Max: 2.18
Current: -3.72

During the past 13 years, the highest Beneish M-Score of Professional Diversity Network was 2.18. The lowest was -5.45. And the median was -2.35.


Professional Diversity Network Beneish M-Score Historical Data

The historical data trend for Professional Diversity Network'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.

Professional Diversity Network Beneish M-Score Chart

Professional Diversity Network 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 -0.21 -2.52 -2.45 -2.19 -3.72

Professional Diversity Network 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 -2.19 -2.26 -3.38 -3.66 -3.72

Competitive Comparison of Professional Diversity Network's Beneish M-Score

For the Staffing & Employment Services subindustry, Professional Diversity Network'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.


Professional Diversity Network's Beneish M-Score Distribution in the Business Services Industry

For the Business Services industry and Industrials sector, Professional Diversity Network's Beneish M-Score distribution charts can be found below:

* The bar in red indicates where Professional Diversity Network's Beneish M-Score falls into.



Professional Diversity Network 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 Professional Diversity Network 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 * 0.7666+0.528 * 0.8855+0.404 * 1.23+0.892 * 0.9259+0.115 * 1.0196
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 1.3802+4.679 * -0.20294-0.327 * 0.9478
=-3.72

* 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 $1.18 Mil.
Revenue was 1.894 + 2.008 + 1.841 + 1.955 = $7.70 Mil.
Gross Profit was 1.197 + 1.085 + 1.076 + 0.881 = $4.24 Mil.
Total Current Assets was $2.37 Mil.
Total Assets was $6.33 Mil.
Property, Plant and Equipment(Net PPE) was $0.34 Mil.
Depreciation, Depletion and Amortization(DDA) was $0.62 Mil.
Selling, General, & Admin. Expense(SGA) was $8.15 Mil.
Total Current Liabilities was $3.48 Mil.
Long-Term Debt & Capital Lease Obligation was $0.28 Mil.
Net Income was -0.514 + -1.316 + -1.413 + -1.069 = $-4.31 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = $0.00 Mil.
Cash Flow from Operations was -0.584 + -1.534 + -0.486 + -0.424 = $-3.03 Mil.
Total Receivables was $1.67 Mil.
Revenue was 1.951 + 2.114 + 2.196 + 2.053 = $8.31 Mil.
Gross Profit was 0.714 + 0.886 + 1.263 + 1.191 = $4.05 Mil.
Total Current Assets was $3.26 Mil.
Total Assets was $6.84 Mil.
Property, Plant and Equipment(Net PPE) was $0.40 Mil.
Depreciation, Depletion and Amortization(DDA) was $0.78 Mil.
Selling, General, & Admin. Expense(SGA) was $6.38 Mil.
Total Current Liabilities was $3.94 Mil.
Long-Term Debt & Capital Lease Obligation was $0.34 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)
=(1.184 / 7.698) / (1.668 / 8.314)
=0.153806 / 0.200625
=0.7666

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)
=(4.054 / 8.314) / (4.239 / 7.698)
=0.487611 / 0.550663
=0.8855

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 - (2.368 + 0.341) / 6.327) / (1 - (3.257 + 0.401) / 6.836)
=0.571835 / 0.464892
=1.23

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
=7.698 / 8.314
=0.9259

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))
=(0.776 / (0.776 + 0.401)) / (0.624 / (0.624 + 0.341))
=0.659303 / 0.646632
=1.0196

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)
=(8.153 / 7.698) / (6.38 / 8.314)
=1.059106 / 0.76738
=1.3802

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)
=((0.283 + 3.475) / 6.327) / ((0.341 + 3.943) / 6.836)
=0.593962 / 0.626682
=0.9478

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
=(-4.312 - 0 - -3.028) / 6.327
=-0.20294

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.

Professional Diversity Network has a M-score of -3.72 suggests that the company is unlikely to be a manipulator.


Professional Diversity Network Beneish M-Score Related Terms

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Professional Diversity Network (Professional Diversity Network) Business Description

Traded in Other Exchanges
N/A
Address
55 East Monroe Street, Suite 2120, Chicago, IL, USA, 60603
Professional Diversity Network Inc is engaged in providing access to networking, training, educational and employment services to its registered users. It has three operating segments: the Professional Diversity Network (PDN) segment, which includes online professional networking communities with career resources for diverse cultural groups and employers looking to hire members; and the National Association of Professional Women (NAPW) segment, which is a women-only professional networking organization, the RemoteMore segment. The company generates revenues from paid membership subscriptions and related services, recruitment services, product sales, education & training, and consumer advertising & consumer marketing solutions.
Executives
Yu-jin Chou officer: Secretary 55 E MONROE STREET, SUITE2120, CHICAGO IL 60603
Hongjun Chen 10 percent owner 55 E MONROE STREET, STE 2250, CHICAGO IL 60603
Larry S Aichler officer: Interim CFO 55 E MONROE ST, STE 2120, CHICAGO IL 60603
Christopher Renn director 55 E MONROE ST, SUITE# 2120, CHICAGO IL 60603
Esquivel Russell J Jr. officer: SVP 26844 N 73RD DR, PEORIA AZ 85383
Megan Elizabeth Bozzuto officer: SVP 162 EAST ST, SHARON MA 02067
Grace Reyes director 1191 SOLANO AVENUE #6315, ALBANY CA 94706
Charles Martin Obrien officer: Interim CFO 1131 WARWICK CIRCLE N., HOFFMAN ESTATES IL 60169
Malven Group Ltd 10 percent owner UNIT A, 21/F., CMA BUILDING, 64 CONNAUGHT ROAD CENTRAL, CENTRAL K3 00000
Shea Courtney C. director 1555 N. ASTOR STREET, APARTMENT 9W, CHICAGO IL 60610
Maoji Wang director 13-1-902, BAIWANGJIAYUAN EAST SECTOR, DONGBEIWANG, HAIDIAN DISTRICT, BEIJING F4 000000
Lida Fang director 77 N 3RD RING MIDDLE RD, 24TH FLOOR, ROOM 1105, BEIJING F4 100080
Haibin Gong director 408 NO. 18 BLDG XILI MAJIABAO YANGQIAO, FENGTAI DISTRICT BEIJING CITY F4 100039
Michael D Belsky director 213 LEONARD WOOD NORTH, UNIT 101, HIGHLAND PARK IL 60035
James R Kirsch director, 10 percent owner, officer: Chief Executive Officer 801 W. ADAMS STREET SUITE 600, CHICAGO IL 60607