GURUFOCUS.COM » STOCK LIST » Technology » Software » The Trade Desk Inc (NAS:TTD) » Definitions » Beneish M-Score

The Trade Desk (The Trade Desk) Beneish M-Score

: -2.57 (As of Today)
View and export this data going back to 2016. Start your Free Trial

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 -2.57 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

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

TTD' s Beneish M-Score Range Over the Past 10 Years
Min: -2.83   Med: -2.37   Max: -1.67
Current: -2.57

During the past 10 years, the highest Beneish M-Score of The Trade Desk was -1.67. The lowest was -2.83. And the median was -2.37.


The Trade Desk Beneish M-Score Historical Data

The historical data trend for The Trade Desk'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.

The Trade Desk Annual Data
Trend Dec14 Dec15 Dec16 Dec17 Dec18 Dec19 Dec20 Dec21 Dec22 Dec23
Beneish M-Score
Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only -1.79 -2.37 -2.52 -2.83 -2.57

The Trade Desk 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 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 Premium Member Only Premium Member Only Premium Member Only -2.83 -2.90 -2.79 -2.80 -2.57

Competitive Comparison

For the Software - Application subindustry, The Trade Desk'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.


The Trade Desk Beneish M-Score Distribution

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

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



The Trade Desk 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 The Trade Desk 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 * 0.9914+0.528 * 1.0119+0.404 * 1.371+0.892 * 1.2334+0.115 * 0.6632
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 0.9095+4.679 * -0.085583-0.327 * 1.0776
=-2.57

* 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 $2,870 Mil.
Revenue was 605.797 + 493.266 + 464.254 + 382.803 = $1,946 Mil.
Gross Profit was 505.102 + 399.884 + 377.6 + 297.936 = $1,581 Mil.
Total Current Assets was $4,314 Mil.
Total Assets was $4,889 Mil.
Property, Plant and Equipment(Net PPE) was $359 Mil.
Depreciation, Depletion and Amortization(DDA) was $80 Mil.
Selling, General, & Admin. Expense(SGA) was $968 Mil.
Total Current Liabilities was $2,511 Mil.
Long-Term Debt & Capital Lease Obligation was $180 Mil.
Net Income was 97.323 + 39.352 + 32.939 + 9.326 = $179 Mil.
Non Operating Income was -2.714 + 1.697 + 0.747 + -0.723 = $-1 Mil.
Cash Flow from Operations was 91.12 + 191.54 + 128.089 + 187.573 = $598 Mil.
Total Receivables was $2,347 Mil.
Revenue was 490.737 + 394.773 + 376.962 + 315.323 = $1,578 Mil.
Gross Profit was 411.118 + 324.649 + 309.472 + 251.433 = $1,297 Mil.
Total Current Assets was $3,846 Mil.
Total Assets was $4,381 Mil.
Property, Plant and Equipment(Net PPE) was $394 Mil.
Depreciation, Depletion and Amortization(DDA) was $54 Mil.
Selling, General, & Admin. Expense(SGA) was $863 Mil.
Total Current Liabilities was $2,029 Mil.
Long-Term Debt & Capital Lease Obligation was $209 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)
=(2870.313 / 1946.12) / (2347.195 / 1577.795)
=1.47489 / 1.487643
=0.9914

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)
=(1296.672 / 1577.795) / (1580.522 / 1946.12)
=0.821825 / 0.81214
=1.0119

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 - (4313.954 + 359.154) / 4888.687) / (1 - (3845.617 + 394.155) / 4380.679)
=0.044098 / 0.032166
=1.371

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
=1946.12 / 1577.795
=1.2334

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))
=(54.425 / (54.425 + 394.155)) / (80.418 / (80.418 + 359.154))
=0.121327 / 0.182946
=0.6632

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)
=(968.248 / 1946.12) / (863.142 / 1577.795)
=0.497527 / 0.547056
=0.9095

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)
=((180.369 + 2510.838) / 4888.687) / ((208.527 + 2029.323) / 4380.679)
=0.550497 / 0.510845
=1.0776

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
=(178.94 - -0.993 - 598.322) / 4888.687
=-0.085583

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.

The Trade Desk has a M-score of -2.57 suggests that the company is unlikely to be a manipulator.


The Trade Desk Beneish M-Score Related Terms

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


The Trade Desk (The Trade Desk) Business Description

Traded in Other Exchanges
Address
42 N. Chestnut Street, Ventura, CA, USA, 93001
The Trade Desk provides a self-service platform that helps advertisers and ad agencies programmatically find and purchase digital ad inventory (display, video, audio, native, and social) on different devices like computers, smartphones, digital out of home, and connected TVs. It utilizes data to optimize the performance of ad impressions purchased. The firm's platform is referred to as a demand-side platform in the digital ad industry. The firm generates its revenue from fees based on a percentage of what its clients spend on advertising. The Trade Desk became a public company in 2016 and has since increased revenue at a 43% average annual rate. During that period, it has been profitable with operating margins of 10%-28%.
Executives
Gokul Rajaram director 301 CONGRESS AVENUE, SUITE 700, AUSTIN TX 78701
Jay R Grant officer: Chief Legal Officer 225 E. 79TH STREET, APT 12E, NEW YORK NY 10075
Laura Schenkein officer: Chief Financial Officer C/O THE TRADE DESK, INC., 42 NORTH CHESTNUT STREET, VENTURA CA 93001
Jeffrey Terry Green director, 10 percent owner, officer: President and CEO 42 N. CHESTNUT STREET, VENTURA CA 93001
Andrea Lee Cunningham director C/O TRADE DESK, INC., 42 N. CHESTNUT STREET, VENTURA CA 93001
David B Wells director C/O NETFLIX, INC., 100 WINCHESTER CIRCLE, LOS GATOS CA 95130
Lise J Buyer director 1600 AMPHITHEATRE PARKWAY, MOUNTAIN VIEW CA 94043
David Randall Pickles officer: Chief Technology Officer 42 N. CHESTNUT STREET, VENTURA CA 93001
Blake Jeffrey Grayson officer: Chief Financial Officer 2212 EVERETT AVENUE E, SEATTLE WA 98102
Eric B Paley director, 10 percent owner C/O THE TRADE DESK, INC., 42 N. CHESTNUT ST., VENTURA CA 93001
Kathryn E Falberg director C/O AXOVANT SCIENCES, INC., 320 WEST 37TH STREET, 5TH FLOOR, NEW YORK NY 10018
Susan Vobejda officer: Chief Marketing Officer 130 EAST RANDOLPH STREET, 7TH FLOOR, CHICAGO IL 60601
Michelle Hulst officer: Chief Operating Officer 130 MERCHANT STREET, HONOLULU HI 96813
Brian John Stempeck officer: Chief Client Officer 42 N. CHESTNUT STREET, VENTURA CA 93001
Vivian Yang officer: Chief Legal Officer C/O VIANT TECHNOLOGY INC., 2722 MICHELSON DRIVE, SUITE 100, IRVINE CA 92612