True Data (TSE:4416) EBIT : 円4 Mil (TTM As of Dec. 2023)

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What is True Data EBIT?

True Data's earnings before interest and taxes (EBIT) for the three months ended in Dec. 2023 was 円28 Mil. Its earnings before interest and taxes (EBIT) for the trailing twelve months (TTM) ended in Dec. 2023 was 円4 Mil.

EBIT or Operating Income is linked to Return on Capital for both regular definition and Joel Greenblatt's definition. True Data's annualized ROC % for the quarter that ended in Dec. 2023 was 25.39%. True Data's annualized ROC (Joel Greenblatt) % for the quarter that ended in Dec. 2023 was 455.34%.

EBIT is also linked to Joel Greenblatt's definition of earnings yield. True Data's Earnings Yield (Joel Greenblatt) % for the quarter that ended in Dec. 2023 was 0.35%.

True Data EBIT Historical Data

The historical data trend for True Data's EBIT 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.

True Data EBIT Chart

True Data Annual Data

Trend

Mar20

Mar21

Mar22

Mar23

EBIT

-93.58

-63.92

23.07

37.37

True Data Quarterly Data
	Mar20	Mar21	Sep21	Dec21	Mar22	Jun22	Sep22	Dec22	Mar23	Jun23	Sep23	Dec23
EBIT	Get a 7-Day Free Trial							-2.58	-2.98	-37.99	17.72	27.57

Competitive Comparison of True Data's EBIT

For the Software - Application subindustry, True Data's EV-to-EBIT, along with its competitors' market caps and EV-to-EBIT 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.

True Data's EV-to-EBIT Distribution in the Software Industry

For the Software industry and Technology sector, True Data's EV-to-EBIT distribution charts can be found below:

* The bar in red indicates where True Data's EV-to-EBIT falls into.

True Data EBIT Calculation

EBIT, sometimes also called Earnings Before Interest and Taxes, is a measure of a firm's profit that includes all expenses except interest and income tax expenses. It is the difference between operating revenues and operating expenses. When a firm does not have non-operating income, then Operating Income is sometimes used as a synonym for EBIT and operating profit.

EBIT for the trailing twelve months (TTM) ended in Dec. 2023 adds up the quarterly data reported by the company within the most recent 12 months, which was 円4 Mil.

True Data (TSE:4416) EBIT Explanation

1. EBIT or Operating Income is linked to Return on Capital for both regular definition and Joel Greenblatt's definition.

True Data's annualized ROC % for the quarter that ended in Dec. 2023 is calculated as:

	ROC % (Q: Dec. 2023 )
=	NOPAT	/	Average Invested Capital
=	Operating Income * ( 1 - Tax Rate % )	/	( (Invested Capital (Q: Sep. 2023 )	+	Invested Capital (Q: Dec. 2023 ))	/ count )
=	111.608 * ( 1 - 16.02% )	/	( (381.146	+	357.155)	/ 2 )
=	93.7283984	/	369.1505
=	25.39 %

where

	Invested Capital		(Q: Sep. 2023 )
=	Total Assets	-	Accounts Payable & Accrued Expense	-	Excess Cash
=	Total Assets	-	Accounts Payable & Accrued Expense	-	( Cash, Cash Equivalents, Marketable Securities	-	max(0, Total Current Liabilities	-	Total Current Assets	+	Cash, Cash Equivalents, Marketable Securities	))
=	1255.947	-	83.259	-	( 883.497	-	max(0, 285.82	-	1077.362	+	883.497	))
=	381.146

	Invested Capital		(Q: Dec. 2023 )
=	Total Assets	-	Accounts Payable & Accrued Expense	-	Excess Cash
=	Total Assets	-	Accounts Payable & Accrued Expense	-	( Cash, Cash Equivalents, Marketable Securities	-	max(0, Total Current Liabilities	-	Total Current Assets	+	Cash, Cash Equivalents, Marketable Securities	))
=	1269.291	-	94.265	-	( 900.495	-	max(0, 279.724	-	1097.595	+	900.495	))
=	357.155

Note: The Operating Income data used here is four times the quarterly (Dec. 2023) data.

2. Joel Greenblatt's definition of Return on Capital:

True Data's annualized ROC (Joel Greenblatt) % for the quarter that ended in Dec. 2023 is calculated as:

	ROC (Joel Greenblatt) %		(Q: Dec. 2023 )
=	EBIT	/	Average of (Net fixed Assets	+	Net Working Capital)
=	EBIT	/	Average of (Property, Plant and Equipment	+	Net Working Capital)
			Q: Sep. 2023		Q: Dec. 2023
=	EBIT	/	( ( (Property, Plant and Equipment + Net Working Capital)	+	(Property, Plant and Equipment + Net Working Capital) )	/	count )
=	110.292	/	( ( (24.868 + max(-59.065, 0))	+	(23.576 + max(-39.734, 0)) )	/	2 )
=	110.292	/	( ( 24.868	+	23.576 )	/	2 )
=	110.292	/	24.222
=	455.34 %

where Working Capital is:

	Working Capital		(Q: Sep. 2023 )
=	(Accounts Receivable	+	Total Inventories	+	Other Current Assets)	-	(Accounts Payable & Accrued Expense	+	Defer. Rev.	+	Other Current Liabilities)
=	(154.64	+	0	+	39.225)	-	(83.259	+	0	+	169.671)
=	-59.065

	Working Capital		(Q: Dec. 2023 )
=	(Accounts Receivable	+	Total Inventories	+	Other Current Assets)	-	(Accounts Payable & Accrued Expense	+	Defer. Rev.	+	Other Current Liabilities)
=	(160.652	+	0	+	36.448)	-	(94.265	+	0	+	142.569)
=	-39.734

When net working capital is negative, 0 is used.

Note: The EBIT data used here is four times the quarterly (Dec. 2023) EBIT data.

3. It is also linked to Joel Greenblatt's definition of Earnings Yield:

True Data's Earnings Yield (Joel Greenblatt) % for today is calculated as:

Earnings Yield (Joel Greenblatt) %	=	EBIT (TTM)	/	Enterprise Value (Q: Dec. 2023 )
	=	4.322	/	1230.979
	=	0.35 %

True Data EBIT Related Terms

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True Data (TSE:4416) Business Description

Industry

GURUFOCUS.COM » STOCK LIST » Technology » Software » True Data Inc (TSE:4416) » Definitions » EBIT

Comparable Companies

Traded in Other Exchanges

N/A

Address

1-10-11 Shibadaimon, Minato-ku, Tokyo, JPN, 105?0012

Website

https://www.truedata.co.jp

True Data Inc operates a big data platform that handles consumer purchasing data nationwide. It develops and provides consumer data analysis and purchasing behavior analysis solutions such as POS / ID-POS to retailers and consumer goods manufacturers.

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