Jiangsu Nonghua Intelligent Agriculture Technology Co (SZSE:000816) EBIT : ¥46 Mil (TTM As of Dec. 2024)

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What is Jiangsu Nonghua Intelligent Agriculture Technology Co EBIT?

Jiangsu Nonghua Intelligent Agriculture Technology Co's earnings before interest and taxes (EBIT) for the three months ended in Dec. 2024 was ¥-40 Mil. Its earnings before interest and taxes (EBIT) for the trailing twelve months (TTM) ended in Dec. 2024 was ¥46 Mil.

EBIT or Operating Income is linked to Return on Capital for both regular definition and Joel Greenblatt's definition. Jiangsu Nonghua Intelligent Agriculture Technology Co's annualized ROC % for the quarter that ended in Dec. 2024 was -4.18%. Jiangsu Nonghua Intelligent Agriculture Technology Co's annualized ROC (Joel Greenblatt) % for the quarter that ended in Dec. 2024 was -16.14%.

EBIT is also linked to Joel Greenblatt's definition of earnings yield. Jiangsu Nonghua Intelligent Agriculture Technology Co's Earnings Yield (Joel Greenblatt) % for the quarter that ended in Dec. 2024 was 1.09%.

Jiangsu Nonghua Intelligent Agriculture Technology Co EBIT Historical Data

The historical data trend for Jiangsu Nonghua Intelligent Agriculture Technology Co'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.

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Jiangsu Nonghua Intelligent Agriculture Technology Co EBIT Chart

Jiangsu Nonghua Intelligent Agriculture Technology Co Annual Data

Trend

Dec15

Dec16

Dec17

Dec18

Dec19

Dec20

Dec21

Dec22

Dec23

Dec24

EBIT

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89.21

76.35

-4.48

-52.03

45.86

Jiangsu Nonghua Intelligent Agriculture Technology Co Quarterly Data
	Mar20	Jun20	Sep20	Dec20	Mar21	Jun21	Sep21	Dec21	Mar22	Jun22	Sep22	Dec22	Mar23	Jun23	Sep23	Dec23	Mar24	Jun24	Sep24	Dec24
EBIT	Get a 7-Day Free Trial															-82.16	-12.58	50.11	48.67	-40.34

Competitive Comparison of Jiangsu Nonghua Intelligent Agriculture Technology Co's EBIT

For the Farm & Heavy Construction Machinery subindustry, Jiangsu Nonghua Intelligent Agriculture Technology Co'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.

Jiangsu Nonghua Intelligent Agriculture Technology Co's EV-to-EBIT Distribution in the Farm & Heavy Construction Machinery Industry

For the Farm & Heavy Construction Machinery industry and Industrials sector, Jiangsu Nonghua Intelligent Agriculture Technology Co's EV-to-EBIT distribution charts can be found below:

* The bar in red indicates where Jiangsu Nonghua Intelligent Agriculture Technology Co's EV-to-EBIT falls into.

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Jiangsu Nonghua Intelligent Agriculture Technology Co 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. 2024 adds up the quarterly data reported by the company within the most recent 12 months, which was ¥46 Mil.

Jiangsu Nonghua Intelligent Agriculture Technology Co (SZSE:000816) EBIT Explanation

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

Jiangsu Nonghua Intelligent Agriculture Technology Co's annualized ROC % for the quarter that ended in Dec. 2024 is calculated as:

	ROC % (Q: Dec. 2024 )
=	NOPAT	/	Average Invested Capital
=	Operating Income * ( 1 - Tax Rate % )	/	( (Invested Capital (Q: Sep. 2024 )	+	Invested Capital (Q: Dec. 2024 ))	/ count )
=	-86.332 * ( 1 - -23.3% )	/	( (2609.095	+	2487.269)	/ 2 )
=	-106.447356	/	2548.182
=	-4.18 %

where

	Invested Capital		(Q: Sep. 2024 )
=	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	))
=	3695.882	-	807.8	-	( 572.722	-	max(0, 983.79	-	1262.777	+	572.722	))
=	2609.095

	Invested Capital		(Q: Dec. 2024 )
=	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	))
=	3554.67	-	731.605	-	( 678.936	-	max(0, 938.399	-	1274.195	+	678.936	))
=	2487.269

Note: The Operating Income data used here is four times the quarterly (Dec. 2024) data.

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

Jiangsu Nonghua Intelligent Agriculture Technology Co's annualized ROC (Joel Greenblatt) % for the quarter that ended in Dec. 2024 is calculated as:

	ROC (Joel Greenblatt) %		(Q: Dec. 2024 )
=	EBIT	/	Average of (Net fixed Assets	+	Net Working Capital)
=	EBIT	/	Average of (Property, Plant and Equipment	+	Net Working Capital)
			Q: Sep. 2024		Q: Dec. 2024
=	EBIT	/	( ( (Property, Plant and Equipment + Net Working Capital)	+	(Property, Plant and Equipment + Net Working Capital) )	/	count )
=	-161.356	/	( ( (999.605 + max(-278.532, 0))	+	(1000.114 + max(-218.443, 0)) )	/	2 )
=	-161.356	/	( ( 999.605	+	1000.114 )	/	2 )
=	-161.356	/	999.8595
=	-16.14 %

where Working Capital is:

	Working Capital		(Q: Sep. 2024 )
=	(Accounts Receivable	+	Total Inventories	+	Other Current Assets)	-	(Accounts Payable & Accrued Expense	+	Defer. Rev.	+	Other Current Liabilities)
=	(191.132	+	281.937	+	131.361)	-	(807.8	+	0	+	75.162)
=	-278.532

	Working Capital		(Q: Dec. 2024 )
=	(Accounts Receivable	+	Total Inventories	+	Other Current Assets)	-	(Accounts Payable & Accrued Expense	+	Defer. Rev.	+	Other Current Liabilities)
=	(101.327	+	223.756	+	226.442)	-	(731.605	+	0	+	38.363)
=	-218.443

When net working capital is negative, 0 is used.

Note: The EBIT data used here is four times the quarterly (Dec. 2024) EBIT data.

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

Jiangsu Nonghua Intelligent Agriculture Technology Co's Earnings Yield (Joel Greenblatt) % for today is calculated as:

Earnings Yield (Joel Greenblatt) %	=	EBIT (TTM)	/	Enterprise Value (Q: Dec. 2024 )
	=	45.861	/	4216.432
	=	1.09 %

Jiangsu Nonghua Intelligent Agriculture Technology Co EBIT Related Terms

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Jiangsu Nonghua Intelligent Agriculture Technology Co Business Description

Industry

GURUFOCUS.COM » STOCK LIST » Industrials » Farm & Heavy Construction Machinery » Jiangsu Nonghua Intelligent Agriculture Technology Co Ltd (SZSE:000816) » Definitions » EBIT

Traded in Other Exchanges

N/A

Address

No. 58, South Xiwang Avenue, Yancheng Economic and Technological Development Zone, Jiangsu Province, Yancheng, Jiangsu, CHN, 224003

Website

http://www.jd.dongyin.com

Jiangsu Nonghua Intelligent Agriculture Technology Co Ltd a power equipment company, researches, develops, produces, and sells agricultural machinery in China. The products offered by the company are divided into five major segments which include Single-cylinder diesel engine segment, Multi-cylinder diesel engine segment, Agricultural equipment sector, Casting plate and General gasoline engine segment. Geographically, it operates through China however it sells the products in more than 70 countries and regions around the world.

Executives

Zhan Jin Chuan	Executives
Zhou Hua	Independent director
Liu Jing Ping	Executives
Li Qiang	Executives
Chen Wei Feng	Executives
Yang Ai	Supervisors
Hou Yu Rong	Supervisors
Chen Ling	Supervisors
Xu Li	Supervisors
Wang Chang Xiang	Executives
Zhu Rui Long	Director
Zou Bin	Executives

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