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Realtime updates for Escorts Kubota Limited [ESCORTS.NS]

Exchange: NSE Sector: Industrials Industry: Farm & Heavy Construction Machinery
Last Updated26 Sep 2023 @ 06:00

-0.70% INR 3 212.30

Live Chart Being Loaded With Signals

Escorts Kubota Limited manufactures and sells agri machinery, construction equipment, and railway equipment in India and internationally. The company offers agricultural tractors under the Farmtrac, Powertrac, Steeltrac, and Digitrac brands; crop solutions; engines; spare parts; lubricants; and sprayers, harvesters, implements, planters, and gensets...

Stats
Today's Volume 276 455
Average Volume 450 068
Market Cap 354.95B
P/E 44.36
ATR14 INR2.61 (0.08%)

Volume Correlation

Long: -0.65 (weak negative)
Short: -0.60 (weak negative)
Signal:(35.338) Neutral

Escorts Kubota Limited Correlation

10 Most Positive Correlations
INDIANHUME.NS0.918
BIOCON.NS0.912
AJOONI.NS0.904
ASALCBR.NS0.903
JINDALPOLY.NS0.903
FCONSUMER.NS0.902
ASTEC.NS0.9
NRAIL.NS0.9
LICNFNHGP.NS0.9
COSMOFIRST.NS0.898
10 Most Negative Correlations
JSL.NS-0.891
4THDIM.NS-0.863
JSLHISAR.NS-0.86
KIRLFER.NS-0.853
SOMATEX.NS-0.851
ISMTLTD.NS-0.846
JMCPROJECT.NS-0.815
OIL.NS-0.814
SIEMENS.NS-0.811
SUNFLAG.NS-0.809

Did You Know?

Correlation is a statistical measure that describes the relationship between two variables. It ranges from -1 to 1, where -1 indicates a perfect negative correlation (as one variable increases, the other decreases), 1 indicates a perfect positive correlation (as one variable increases, the other increases), and 0 indicates no correlation (there is no relationship between the variables).

Correlation can be used to analyze the relationship between any two variables, not just stocks. It's commonly used in fields such as finance, economics, psychology, and more.

Escorts Kubota Limited Correlation - Currency/Commodity

The country flag 0.04
( neutral )
The country flag 0.19
( neutral )
The country flag -0.27
( neutral )
The country flag -0.10
( neutral )
The country flag 0.29
( neutral )
The country flag -0.15
( neutral )

Escorts Kubota Limited Financials

Annual 2023
Revenue: INR84.29B
Gross Profit: INR23.06B (27.36%)
EPS: INR58.85
Q4 2023
Revenue: INR22.14B
Gross Profit: INR6.29B (28.41%)
EPS: INR20.01
Q3 2023
Revenue: INR22.91B
Gross Profit: INR5.85B (25.51%)
EPS: INR16.70
Q2 2023
Revenue: INR18.91B
Gross Profit: INR5.22B (27.63%)
EPS: INR9.14

Escorts Kubota Limited Financials DIVIDENDS

(Q3/16) 2016-09-08 (Q3/17) 2017-09-07 (Q3/18) 2018-08-23 (Q3/19) 2019-07-11 (Q3/20) 2020-08-13 (Q3/21) 2021-07-15 (Q2/22) 2022-06-30 (Q2/23) 2023-06-30
INR1.200
(Paid: 2016-10-20)
INR1.500
(Paid: 2017-10-21)
INR2.00
(Paid: 2018-10-07)
INR2.50
(Paid: 2019-08-26)
INR2.50
(Paid: 0000-00-00)
INR2.50
(Paid: 0000-00-00)
INR7.00
(Paid: 0000-00-00)
INR7.00
(Paid: 0000-00-00)

Escorts Kubota Limited

Escorts Kubota Limited manufactures and sells agri machinery, construction equipment, and railway equipment in India and internationally. The company offers agricultural tractors under the Farmtrac, Powertrac, Steeltrac, and Digitrac brands; crop solutions; engines; spare parts; lubricants; and sprayers, harvesters, implements, planters, and gensets. It also provides construction, earth moving and material handling equipment, round and flat tubes, heating elements, double acting hydraulic shock absorbers for railways coaches, center buffer couplers, automobile shock absorbers, telescopic front fork and Mcpherson struts, brake blocks, internal combustion engines, and friction and rubber products. In addition, the company offers metal bonded and other products. Further, the company trades in oils and lubricants, implements, trailers, tractors, compressor accessories and spares, construction equipment, and earth moving and material handling equipment. The company was formerly known as Escorts Limited and changed its name to Escorts Kubota Limited in June 2022. Escorts Kubota Limited was incorporated in 1944 and is based in Faridabad, India.

Estimated
ESCORTS.NS Next Dividend
(2024-09-25) INR6.74 Probabilty 100 %

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Total Execution Time: 2.3869190216064 seconds
Number of API calls: 1
Number of DB calls: 10