GURUFOCUS.COM » STOCK LIST » Utilities » Utilities - Regulated » PJSC TNS Energo Kuban (MIC:KBSB) » Definitions » Beneish M-Score

PJSC TNS Energo Kuban (MIC:KBSB) Beneish M-Score : -0.81 (As of May. 07, 2024)


View and export this data going back to 2008. Start your Free Trial

What is PJSC TNS Energo Kuban 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.

Warning Sign:

Beneish M-Score -0.81 higher than -1.78, which implies that the company might have manipulated its financial results.

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

MIC:KBSB' s Beneish M-Score Range Over the Past 10 Years
Min: -2.64   Med: -1.93   Max: 0.17
Current: -0.81

During the past 13 years, the highest Beneish M-Score of PJSC TNS Energo Kuban was 0.17. The lowest was -2.64. And the median was -1.93.


PJSC TNS Energo Kuban Beneish M-Score Historical Data

The historical data trend for PJSC TNS Energo Kuban'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.

PJSC TNS Energo Kuban Beneish M-Score Chart

PJSC TNS Energo Kuban 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 -2.47 -0.37 - - -0.81

PJSC TNS Energo Kuban Quarterly Data
Mar18 Jun18 Sep18 Dec18 Mar19 Jun19 Sep19 Dec19 Jun20 Dec20 Jun21 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 - - - - -0.81

Competitive Comparison of PJSC TNS Energo Kuban's Beneish M-Score

For the Utilities - Regulated Electric subindustry, PJSC TNS Energo Kuban'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.


PJSC TNS Energo Kuban's Beneish M-Score Distribution in the Utilities - Regulated Industry

For the Utilities - Regulated industry and Utilities sector, PJSC TNS Energo Kuban's Beneish M-Score distribution charts can be found below:

* The bar in red indicates where PJSC TNS Energo Kuban's Beneish M-Score falls into.



PJSC TNS Energo Kuban 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 PJSC TNS Energo Kuban 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 * 0.4277+0.528 * 0.9333+0.404 * 3.2458+0.892 * 1.1254+0.115 * 1
-0.172 * SGAI+4.679 * TATA-0.327 * LVGI
-0.172 * 1.0287+4.679 * 0.243585-0.327 * 0.7567
=-0.81

* 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 ₽3,807 Mil.
Revenue was 19434.258 + 22080.226 + 16951.282 + 21731.218 = ₽80,197 Mil.
Gross Profit was 10247.399 + 27504.522 + -7081.93 + 10987.563 = ₽41,658 Mil.
Total Current Assets was ₽6,575 Mil.
Total Assets was ₽13,965 Mil.
Property, Plant and Equipment(Net PPE) was ₽2,187 Mil.
Depreciation, Depletion and Amortization(DDA) was ₽0 Mil.
Selling, General, & Admin. Expense(SGA) was ₽36,480 Mil.
Total Current Liabilities was ₽8,319 Mil.
Long-Term Debt & Capital Lease Obligation was ₽0 Mil.
Net Income was -2429.316 + 3915.665 + 1485.494 + 429.925 = ₽3,402 Mil.
Non Operating Income was 0 + 0 + 0 + 0 = ₽0 Mil.
Cash Flow from Operations was 0 + 0 + 0 + 0 = ₽0 Mil.
Total Receivables was ₽7,909 Mil.
Revenue was 18718.217 + 19051.699 + 14441.091 + 19049.286 = ₽71,260 Mil.
Gross Profit was 9290.531 + 23450.72 + -6871.006 + 8675.352 = ₽34,546 Mil.
Total Current Assets was ₽9,304 Mil.
Total Assets was ₽12,767 Mil.
Property, Plant and Equipment(Net PPE) was ₽1,997 Mil.
Depreciation, Depletion and Amortization(DDA) was ₽0 Mil.
Selling, General, & Admin. Expense(SGA) was ₽31,510 Mil.
Total Current Liabilities was ₽10,051 Mil.
Long-Term Debt & Capital Lease Obligation was ₽0 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)
=(3806.964 / 80196.984) / (7909.262 / 71260.293)
=0.04747 / 0.110991
=0.4277

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)
=(34545.597 / 71260.293) / (41657.554 / 80196.984)
=0.48478 / 0.51944
=0.9333

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 - (6575.472 + 2186.853) / 13965.415) / (1 - (9304.097 + 1997.293) / 12766.825)
=0.37257 / 0.114785
=3.2458

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
=80196.984 / 71260.293
=1.1254

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 / (0 + 1997.293)) / (0 / (0 + 2186.853))
=0 / 0
=1

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)
=(36480.357 / 80196.984) / (31509.805 / 71260.293)
=0.454884 / 0.442179
=1.0287

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 + 8318.98) / 13965.415) / ((0 + 10050.707) / 12766.825)
=0.595684 / 0.787252
=0.7567

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
=(3401.768 - 0 - 0) / 13965.415
=0.243585

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.

PJSC TNS Energo Kuban has a M-score of -0.81 signals that the company is likely to be a manipulator.


PJSC TNS Energo Kuban Beneish M-Score Related Terms

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


PJSC TNS Energo Kuban (MIC:KBSB) Business Description

Traded in Other Exchanges
N/A
Address
Gimnazicheskaya street, building 55/1, Moscow, RUS, 127006
PJSC TNS Energo Kuban is engaged in the purchase and sale of electricity in wholesale and retail markets.

PJSC TNS Energo Kuban (MIC:KBSB) Headlines

No Headlines