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Splunk (Splunk) Beneish M-Score : -2.82 (As of Apr. 27, 2024)


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What is Splunk 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 -2.82 no higher than -1.78, which implies that the company is unlikely to be a manipulator.

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

SPLK' s Beneish M-Score Range Over the Past 10 Years
Min: -3.75   Med: -2.84   Max: -1.46
Current: -2.82

During the past 13 years, the highest Beneish M-Score of Splunk was -1.46. The lowest was -3.75. And the median was -2.84.


Splunk Beneish M-Score Historical Data

The historical data trend for Splunk'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.

Splunk Beneish M-Score Chart

Splunk Annual Data
Trend Jan15 Jan16 Jan17 Jan18 Jan19 Jan20 Jan21 Jan22 Jan23 Jan24
Beneish M-Score
Get a 7-Day Free Trial Premium Member Only Premium Member Only -1.46 -2.81 -3.61 -2.85 -2.82

Splunk Quarterly Data
Apr19 Jul19 Oct19 Jan20 Apr20 Jul20 Oct20 Jan21 Apr21 Jul21 Oct21 Jan22 Apr22 Jul22 Oct22 Jan23 Apr23 Jul23 Oct23 Jan24
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 -2.85 -3.21 -2.98 -2.95 -2.82

Competitive Comparison of Splunk's Beneish M-Score

For the Software - Infrastructure subindustry, Splunk'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.


Splunk's Beneish M-Score Distribution in the Software Industry

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

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



Splunk 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 Splunk 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 * 1.0146+0.528 * 0.9736+0.404 * 1.0101+0.892 * 1.1538+0.115 * 0.8661
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 0.9099+4.679 * -0.110888-0.327 * 0.8711
=-2.82

* 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 (Jan24) TTM:Last Year (Jan23) TTM:
Total Receivables was $1,841 Mil.
Revenue was 1486.147 + 1067.355 + 910.585 + 751.508 = $4,216 Mil.
Gross Profit was 1262.595 + 857.382 + 698.682 + 544.273 = $3,363 Mil.
Total Current Assets was $4,152 Mil.
Total Assets was $6,687 Mil.
Property, Plant and Equipment(Net PPE) was $216 Mil.
Depreciation, Depletion and Amortization(DDA) was $89 Mil.
Selling, General, & Admin. Expense(SGA) was $2,179 Mil.
Total Current Liabilities was $2,558 Mil.
Long-Term Debt & Capital Lease Obligation was $3,262 Mil.
Net Income was 426.549 + 96.853 + -63.248 + -196.42 = $264 Mil.
Non Operating Income was -3.683 + 4.434 + -5.44 + 1.606 = $-3 Mil.
Cash Flow from Operations was 421.347 + 85.385 + 9.864 + 491.767 = $1,008 Mil.
Total Receivables was $1,573 Mil.
Revenue was 1251.105 + 929.769 + 798.753 + 674.081 = $3,654 Mil.
Gross Profit was 1045.822 + 728.004 + 591.962 + 471.925 = $2,838 Mil.
Total Current Assets was $3,871 Mil.
Total Assets was $6,344 Mil.
Property, Plant and Equipment(Net PPE) was $296 Mil.
Depreciation, Depletion and Amortization(DDA) was $99 Mil.
Selling, General, & Admin. Expense(SGA) was $2,076 Mil.
Total Current Liabilities was $3,036 Mil.
Long-Term Debt & Capital Lease Obligation was $3,302 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)
=(1840.928 / 4215.595) / (1572.604 / 3653.708)
=0.436695 / 0.430413
=1.0146

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)
=(2837.713 / 3653.708) / (3362.932 / 4215.595)
=0.776667 / 0.797736
=0.9736

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 - (4152.292 + 216.295) / 6687.356) / (1 - (3870.684 + 295.521) / 6343.923)
=0.346739 / 0.343276
=1.0101

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
=4215.595 / 3653.708
=1.1538

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))
=(99.47 / (99.47 + 295.521)) / (88.675 / (88.675 + 216.295))
=0.251829 / 0.290766
=0.8661

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)
=(2179.495 / 4215.595) / (2076.049 / 3653.708)
=0.517008 / 0.568203
=0.9099

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)
=((3261.572 + 2557.894) / 6687.356) / ((3301.557 + 3035.67) / 6343.923)
=0.870219 / 0.998945
=0.8711

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
=(263.734 - -3.083 - 1008.363) / 6687.356
=-0.110888

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.

Splunk has a M-score of -2.82 suggests that the company is unlikely to be a manipulator.


Splunk (Splunk) Business Description

Traded in Other Exchanges
Address
270 Brannan Street, San Francisco, CA, USA, 94107
Splunk is a cloud-first software company that focuses on analyzing machine data. The company is a major player in two markets: security, and full-stack monitoring and analysis. The San Francisco-based firm focuses on enterprise clients, with more than 90% of the Fortune 100 using its solutions. The firm's top line consists of the sale of software licenses, cloud subscriptions, and maintenance and support.
Executives
Scott Morgan officer: General Counsel and Secretary C/O SPLUNK INC.,270 BRANNAN STREET, SAN JOSE CA 94107
Christian Smith officer: SVP, Chief Revenue Officer C/O SPLUNK INC., 270 BRANNAN ST CA 94107
Gary Steele director, officer: President and CEO C/O PROOFPOINT, INC., 892 ROSS DRIVE, SUNNYVALE CA 94089
Elisa Steele director 1601 CLOVERFIELD BLVD, STE 620 SOUTH, SANTA MONICA CA 90404
Yamini Rangan director 333 BRANNAN STREET, SAN FRANCISCO CA 94107
Brian Kayman officer: Chief Accounting Officer 270 BRANNAN STREET, SAN FRANCISCO CA 94107
Tom Casey officer: SVP, GM Platform C/O SPLUNK INC., 270 BRANNAN ST CA 94107
Brian Keith Roberts officer: SVP & Chief Financial Officer C/O LYFT, INC., 185 BERRY STREET, SUITE 5000, SAN FRANCISCO CA 94107
Richard P Wallace director KLA TENCOR, 160 RIO ROBLES, SAN JOSE CA 95134
David R Tunnell director C/O HELLMAN & FRIEDMAN, 415 MISSION STREET SUITE 5700, SAN FRANCISCO CA 94105
Jason Child officer: SVP & Chief Financial Officer C/O SPLUNK INC., 270 BRANNAN ST., SAN FRANCISCO CA 94107
Shawn Bice officer: President of PROD & TECH C/O SPLUNK INC., 270 BRANNAN STREET, SAN FRANCISCO CA 94107
Timothy Emanuelson officer: Chief Accounting Officer C/O SPLUNK INC., 270 BRANNAN STREET, SAN FRANCISCO CA 94107
Luis Felipe Visoso director C/O UNITY SOFTWARE INC., 30 3RD STREET, SAN FRANCISCO CA 94103
Graham Smith director 301 BRANNMAN ST, SAN FRANCISCO CA 94107