LinkedIn Beneish M-Score Historical Data
The historical data trend for LinkedIn'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.
LinkedIn Beneish M-Score Chart
|
LinkedIn Annual Data
|
|
Trend |
Dec09 |
Dec10 |
Dec11 |
Dec12 |
Dec13 |
Dec14 |
Dec15 |
| Beneish M-Score |
|
Get a 7-Day Free Trial
|
- |
-1.67 |
-2.65 |
-2.65 |
-2.07 |
|
LinkedIn Quarterly Data
|
|
Dec11 |
Mar12 |
Jun12 |
Sep12 |
Dec12 |
Mar13 |
Jun13 |
Sep13 |
Dec13 |
Mar14 |
Jun14 |
Sep14 |
Dec14 |
Mar15 |
Jun15 |
Sep15 |
Dec15 |
Mar16 |
Jun16 |
Sep16 |
| Beneish M-Score |
Get a 7-Day Free Trial
|
|
|
|
|
|
|
|
|
|
|
|
|
-2.59 |
-2.07 |
-2.06 |
-3.05 |
-3.12 |
Competitive Comparison of LinkedIn's Beneish M-Score
For the Internet Content & Information subindustry, LinkedIn'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.
LinkedIn's Beneish M-Score Distribution in the Interactive Media Industry
For the Interactive Media industry and Communication Services sector, LinkedIn's Beneish M-Score distribution charts can be found below:
* The bar in red indicates where LinkedIn's Beneish M-Score falls into.
LinkedIn 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 LinkedIn 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 * 0.8875 | + | 0.528 * 0.9912 | + | 0.404 * 0.8654 | + | 0.892 * 1.3318 | + | 0.115 * 1.0549 |
| - | 0.172 * SGAI | + | 4.679 * TATA | - | 0.327 * LVGI |
| - | 0.172 * 0.9162 | + | 4.679 * -0.170223 | - | 0.327 * 0.9982 |
| = | -3.12 |
* 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 (Sep16) TTM: | Last Year (Sep15) TTM: |
Total Receivables was €482 Mil.
Revenue was 855.17 + 830.115 + 772.864 + 791.219 = €3,249 Mil.
Gross Profit was 748.453 + 722.847 + 667.324 + 681.979 = €2,821 Mil.
Total Current Assets was €3,656 Mil.
Total Assets was €6,733 Mil.
Property, Plant and Equipment(Net PPE) was €1,344 Mil.
Depreciation, Depletion and Amortization(DDA) was €494 Mil.
Selling, General, & Admin. Expense(SGA) was €1,543 Mil.
Total Current Liabilities was €1,123 Mil.
Long-Term Debt & Capital Lease Obligation was €1,035 Mil.
Net Income was 7.626 + -106.146 + -41.153 + -7.734 = €-147 Mil.
Non Operating Income was -3.163 + -4.985 + -3.763 + -6.458 = €-18 Mil.
Cash Flow from Operations was 332.59 + 295.856 + 226.464 + 162.124 = €1,017 Mil.
|
Total Receivables was €408 Mil.
Revenue was 694.619 + 634.156 + 589.223 + 521.823 = €2,440 Mil.
Gross Profit was 595.39 + 544.979 + 507.536 + 451.346 = €2,099 Mil.
Total Current Assets was €3,397 Mil.
Total Assets was €5,985 Mil.
Property, Plant and Equipment(Net PPE) was €807 Mil.
Depreciation, Depletion and Amortization(DDA) was €319 Mil.
Selling, General, & Admin. Expense(SGA) was €1,264 Mil.
Total Current Liabilities was €928 Mil.
Long-Term Debt & Capital Lease Obligation was €994 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) |
| = | (482.321 / 3249.368) | / | (408.056 / 2439.821) |
| = | 0.148435 | / | 0.167248 |
| | = | 0.8875 |
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) |
| = | (2099.251 / 2439.821) | / | (2820.603 / 3249.368) |
| = | 0.860412 | / | 0.868047 |
| | = | 0.9912 |
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 - (3655.785 + 1344.056) / 6732.763) | / | (1 - (3397.149 + 807.414) / 5984.589) |
| = | 0.257386 | / | 0.297435 |
| | = | 0.8654 |
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 |
| = | 3249.368 | / | 2439.821 |
| | = | 1.3318 |
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)) |
| = | (319.29 / (319.29 + 807.414)) | / | (493.706 / (493.706 + 1344.056)) |
| = | 0.283384 | / | 0.268645 |
| | = | 1.0549 |
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) |
| = | (1542.984 / 3249.368) | / | (1264.486 / 2439.821) |
| = | 0.474857 | / | 0.51827 |
| | = | 0.9162 |
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) |
| = | ((1035.468 + 1122.723) / 6732.763) | / | ((993.856 + 928.007) / 5984.589) |
| = | 0.320551 | / | 0.321135 |
| | = | 0.9982 |
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 |
| = | (-147.407 - -18.369 | - | 1017.034) | / | 6732.763 |
| | = | -0.170223 |
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.
LinkedIn has a M-score of -3.12 suggests that the company is unlikely to be a manipulator.
LinkedIn (FRA:LKI) Business Description
Traded in Other Exchanges
N/A
Address
LinkedIn Corp was incorporated in Delaware on March 6, 2003, under the name LinkedIn, Ltd. and changed its name to LinkedIn Corporation in January 2005. The Company operates an online professional network on the Internet through which the Company's members are able to create, manage and share their professional identities online, build and engage with their professional networks, access shared knowledge and insights, and find business opportunities, enabling them to be more productive and successful. The Company currently has approximately over 400 million members in over 200 countries and territories. The Company offers free solutions including Stay Connected & Informed, Advance My Career and Ubiquitous Access; and Monetized Solutions including Talent Solutions, Marketing Solutions, and Premium Subscriptions. Its comprehensive platform provides members with solutions, including applications and tools, to search, connect and communicate with business contacts, learn about attractive career opportunities, join industry groups, research organizations and share information. The Company provides the following key benefits to their members: ability to manage their professional identity, enhanced ability to build and engage with their professional network, access to knowledge, insights and opportunities, aid in matching talent with opportunity, an efficient marketing channel, targeted advertising, and an increase in employee productivity. In addition, its core value of putting members first may conflict with the short-term interests of its business, the number of its registered members is higher than the number of actual members, and a substantial majority of its page views are generated by a minority of its members. Finally, it expects to face increasing competition in the market for online professional networks. The Company is subject to a number of foreign and domestic laws and regulations that affect companies conducting business online, many of which are still evolving and could be interpreted in ways that could harm its business.
Quick Browse
Personalize
Premium Gurus 
Create New Portfolio
Portfolio Contest
FRA:LKI has been successfully added to your