Bearish signal on daily chart
R1 | 36.10 | Pivot 35.80 | S1 | 35.60 |
R2 | 36.30 | S2 | 35.30 | |
R3 | 36.80 | S3 | 34.80 |
Intraday fact check
In last 15 years, 45.96% of trading sessions had closing price higher than open price.Increase in Cash from Investing
Company has used Rs 987.1 cr for investing activities which is an YoY increase of 56.89%. (Source: Consolidated Financials)Sell Signal: Bears inching ahead
14 day moving crossover appeared yesterday. Average price decline of -3.76% within 7 days of this signal in last 5 years.Stock Returns vs Nifty 100
Stock gave a 3 year return of -79.9% as compared to Nifty 100 which gave a return of 29.59%. (as of last trading session)Found Insights useful?
Sep 2020 | Jun 2020 | Mar 2020 | Dec 2019 | Sep 2019 | |
---|---|---|---|---|---|
Total Income | 23,844.13 | 24,727.72 | 16,824.20 | 16,211.24 | 15,843.77 |
Total Income Growth (%) | -3.57 | 46.98 | 3.78 | 2.32 | 2.70 |
Provisions & Contingencies | 4,898.84 | 4,738.69 | 4,976.96 | 4,185.51 | 3,093.56 |
Provisions & Contingencies Growth (%) | 3.38 | -4.79 | 18.91 | 35.30 | 49.08 |
Profit after Tax (PAT) | 576.16 | 537.71 | -820.49 | -384.96 | 569.74 |
PAT Growth (%) | 7.15 | - | - | -167.57 | -46.96 |
Gross NPA (%) | - | - | - | - | - |
Net NPA (%) | - | - | - | - | - |
Net Profit Margin (%) | 2.42 | 2.17 | -4.88 | -2.37 | 3.60 |
Basic EPS (₹) | 0.61 | 0.57 | -1.22 | -0.65 | 1.24 |
All figures in Rs Cr, unless mentioned otherwise
Annual | FY 2020 | FY 2019 | FY 2018 | FY 2017 | FY 2016 |
---|---|---|---|---|---|
Advances | 4,76,853.34 | 4,62,416.23 | 4,38,798.00 | 4,24,230.49 | 4,46,083.03 |
Advances Growth (%) | 3.12 | 5.38 | 3.43 | -4.90 | 10.25 |
Deposits | 7,10,254.37 | 6,81,874.18 | 6,48,439.02 | 6,29,650.86 | 5,70,382.64 |
Deposits Growth (%) | 4.16 | 5.16 | 2.98 | 10.39 | 10.70 |
Total Equity | 64,237.05 | 46,372.07 | 43,284.56 | 43,945.49 | 42,532.90 |
Total Equity Growth (%) | 38.53 | 7.13 | -1.50 | 3.32 | -0.13 |
Gross NPA (%) | - | - | - | - | - |
Net NPA (%) | - | - | - | - | - |
Capital Adequacy Ratios (%) | - | - | 9.82 | 11.98 | 13.15 |
Contingent Liabilities | 2,13,299.34 | 3,07,895.89 | 3,08,790.19 | 3,38,851.04 | 3,07,790.60 |
All figures in Rs Cr, unless mentioned otherwise
Increase in Cash from Investing
Company has used Rs 987.1 cr for investing activities which is an YoY increase of 56.89%. (Source: Consolidated Financials)Annual | FY 2020 | FY 2019 | FY 2018 | FY 2017 | FY 2016 |
---|---|---|---|---|---|
Net Cash flow from Operating Activities | -12,743.54 | -33,531.96 | -140.21 | 21,938.03 | 14,167.00 |
Net Cash used in Investing Activities | -987.10 | -629.17 | -1,103.17 | 158.75 | -1,351.51 |
Net Cash flow from Financing Activities | 14,190.41 | 13,968.95 | 7,352.43 | -9,767.07 | 5,974.67 |
Net Cash Flow | 459.77 | -20,192.18 | 6,109.05 | 12,329.71 | 18,790.16 |
Closing Cash & Cash Equivalent | 77,755.75 | 77,295.97 | 97,488.15 | 91,379.09 | 77,049.38 |
Closing Cash & Cash Equivalent Growth (%) | 0.59 | -20.71 | 6.69 | 18.60 | 32.25 |
All figures in Rs Cr, unless mentioned otherwise
Annual | FY 2020 | FY 2019 | FY 2018 | FY 2017 | FY 2016 |
---|---|---|---|---|---|
Return on Equity (%) | 0.74 | -22.51 | -31.26 | 3.01 | -9.47 |
Return on Assets (%) | 0.05 | -1.21 | -1.55 | 0.16 | -0.51 |
Cost to Income (%) | 41.90 | 58.61 | 63.64 | 41.24 | 46.92 |
Interest income to Earning assets (%) | 6.44 | 6.59 | 6.25 | 6.55 | 7.12 |
Interest Expense to Earning assets (%) | 4.34 | 4.38 | 4.30 | 4.46 | 4.81 |
Price to Earnings (x) | 49.75 | -4.59 | -2.17 | 27.03 | -4.51 |
Price to Book (x) | 0.37 | 1.03 | 0.68 | 0.81 | 0.43 |
Price to Sales (x) | 0.40 | 0.84 | 0.54 | 0.67 | 0.33 |
Operating Profit Margin (%) | -16.43 | -33.35 | -44.05 | -17.20 | -20.94 |
Found Financials useful?
10 Day EMA Crossover
Bearish signal on daily chart
Appeared on: 18 Jan 2021
10D EMA: 35.71
Average price decline of -3.36% within 7 days of Bearish signal in last 5 years
14 Day EMA Crossover
Bearish signal on daily chart
Appeared on: 18 Jan 2021
14D EMA: 35.55
Average price decline of -3.76% within 7 days of Bearish signal in last 5 years
Stochastic Crossover
Bullish signal on weekly chart
Appeared on: 15 Jan 2021
Region: Equlibrium
Average price gain of 11.89% within 7 weeks of Bullish signal in last 10 years
5 Day EMA Crossover
Bearish signal on daily chart
Appeared on: 15 Jan 2021
5D EMA: 36.16
Average price decline of -3.78% within 7 days of Bearish signal in last 5 years
200 Day EMA Crossover
Bearish signal on daily chart
Appeared on: 15 Jan 2021
200D EMA: 36.36
Average price decline of -5.30% within 30 days of Bearish signal in last 5 years
Global Meltdown1st Jan 2008 to 10th Nov 2008
Covid Crisis1st Feb 2020 to 31st Mar 2020
R1 | 36.10 | Pivot 35.80 | S1 | 35.60 |
R2 | 36.30 | S2 | 35.30 | |
R3 | 36.80 | S3 | 34.80 |
5 Days | 14 Days | 28 Days |
1.41 | 1.57 | 1.54 |
Found Technicals useful?
Stock Returns vs Nifty 100
Stock gave a 3 year return of -79.9% as compared to Nifty 100 which gave a return of 29.59%. (as of last trading session)Stock Returns vs Nifty Bank
Stock generated -79.9% return as compared to Nifty Bank which gave investors 21.51% return over 3 year time period. (as of last trading session)Choose from Peers
Choose from Stocks
Stock Returns vs Nifty 100
Stock gave a 3 year return of -79.9% as compared to Nifty 100 which gave a return of 29.59%. (as of last trading session)Stock Returns vs Nifty Bank
Stock generated -79.9% return as compared to Nifty Bank which gave investors 21.51% return over 3 year time period. (as of last trading session)Found Peer Comparison useful?
MF Ownership as on 31 December 2020
58.84
Amount Invested (in Cr.)
0.79%
% of AUM
73.21
% Change (MoM basis)
53.02
Amount Invested (in Cr.)
0.78%
% of AUM
72.61
% Change (MoM basis)
39.03
Amount Invested (in Cr.)
0.1%
% of AUM
-61.57
% Change (MoM basis)
Date | Price | |
---|---|---|
27-09-2020Current | 36.150.60 (1.69%) | |
35.75 Open | 36.45 High | 35.60 Low |
35.55 Prev Close | 7,995 Contracts Traded | 20,182.06 Turnover (₹ Lakhs) |
Date | Price | |
---|---|---|
27-09-2020Current | 0.00-7.25 (-100.00%) | |
0.00 Open | 0.00 High | 0.00 Low |
7.25 Close | 0 Contracts Traded | 0.00 Turnover (₹ Lakhs) |
Board Meeting
Quarterly Results
Oct 27, 2020
Board Meeting
Quarterly Results
Aug 14, 2020
General Meeting
Book closure from Jul 29, 2020 to Aug 4, 2020
Jul 09, 2020
Announced on | Meeting on |
Oct 27, 2020 | Nov 02, 2020 |
Quarterly Results | |
Aug 14, 2020 | Aug 21, 2020 |
Quarterly Results | |
Jul 07, 2020 | Jul 09, 2020 |
To consider raising of funds | |
Jun 16, 2020 | Jun 19, 2020 |
Audited Results | |
Jan 23, 2020 | Feb 04, 2020 |
Quarterly Results |
Announced on | Ex-Date | Dividend% |
May 08, 2015 | Jun 22, 2015 | 165% |
Jan 31, 2014 | Feb 11, 2014 | 100% |
May 09, 2013 | Jun 13, 2013 | 270% |
May 09, 2012 | Jun 14, 2012 | 220% |
May 04, 2011 | Jun 16, 2011 | 220% |
No Data Available
Announced on | Ex-Date |
Sep 19, 2014 | Dec 18, 2014 |
Split: Old FV10.0| New FV:2.0 |
No Data Available
Announced on | Meeting on |
Jul 09, 2020 | Aug 04, 2020 |
Book closure from Jul 29, 2020 to Aug 4, 2020 | |
Oct 01, 2019 | Nov 04, 2019 |
- | |
May 31, 2019 | Jul 12, 2019 |
Book closure from Jul 8, 2019 to Jul 12, 2019 | |
Feb 27, 2019 | Mar 28, 2019 |
- | |
Sep 27, 2018 | Oct 30, 2018 |
- |
Punjab National Bank, incorporated in the year 1969, is a banking company (having a market cap of Rs 38243.54 Crore).
Punjab National Bank key Products/Revenue Segments include Interest & Discount on Advances & Bills which contributed Rs 35814.96 Crore to Sales Value (66.57 % of Total Sales), Income From Investment which contributed Rs 15332.60 Crore to Sales Value (28.49 % of Total Sales), Interest On Balances with RBI and Other Inter-Bank Funds which contributed Rs 2510.22 Crore to Sales Value (4.66 % of Total Sales) and Interest which contributed Rs 142.25 Crore to Sales Value (0.26 % of Total Sales)for the year ending 31-Mar-2020.
The Bank has reported a Gross Non Performing Assets (Gross NPAs) of Rs .00 Crore (.00 % of total assets) and Net Non Performing Assets (Net NPAs) of Rs .00 Crore (.00% of total assets).
For the quarter ended 30-09-2020, the company has reported a Consolidated Interest Income of Rs 14162.12 Crore, up 1.71 % from last quarter Interest Income of Rs 13924.49 Crore and up 58.08 % from last year same quarter Interest Income of Rs 8959.03 Crore. The bank has reported net profit after tax of Rs 544.66 Crore in latest quarter.
The bank’s top management includes Dr.Asha Bhandarker, Dr.Rabi N Mishra, Dr.Rajesh Kumar Yaduvanshi, Mr.Agyey Kumar Azad, Mr.Pankaj Jain, Mr.Ravi Mital, Mr.S S Mallikarjuna Rao, Mr.Sanjay Verma. It has A John Moris & Co as its auditoRs As on 31-12-2020, the company has a total of 10,477,682,225 shares outstanding.
Punjab National Bank, incorporated in the year 1969, is a banking company (having a market cap of Rs 38243.54 Crore). Show More
Industry
Key Indices Listed On
Nifty Bank, Nifty Next 50, Nifty 100, Nifty 200, Nifty 500
Address
-
Contact
-
Agyey Kumar Azad
Executive DirectorAsha Bhandarker
DirectorBalbir Singh
Co. Secretary & Compl. OfficerBalbir Singh
SecretaryPunjab National Bank share price moved up by 2.96% from its previous close of Rs 35.45. Punjab National Bank stock last traded price is 36.50
Share Price | Value |
---|---|
Today/Current/Last | 36.50 |
Previous Day | 35.45 |
DATA SOURCES: TickerPlant (for live BSE/NSE quotes service) and Dion Global Solutions Ltd. (for corporate data, historical price & volume, F&O data). Sensex & BSE Quotes and Nifty & NSE Quotes are real-time and licensed from BSE and NSE respectively. All timestamps are reflected in IST (Indian Standard Time).
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This is a ratio arrived at by dividing the current market price of a stock by its latest (annual or annualized) earnings per share. Here we have taken the TTM (trailing twelve months) adjusted earnings per share.
Earnings per share (TTM) tells the profit after tax earned on a per share basis by a stock over the last twelve months or four quarters.
MCap or Market capitalization of a stock is calculated by multiplying the total number of shares outstanding of that particular stock with its current market price.
This is the ranking of a company within its sector based on MCap or Market capitalization. Higher the market capitalization of a company, higher the rank it is assigned.
Price to Book represents the ratio of current market price of a stock to its book value per share. The book value itself is arrived at by dividing the net worth of a company by the total number of shares outstanding of the company at that time.
Dividend Yield calculates the amount of full year dividend declared by a company as a percentage of the current market price of a stock. All other things being equal, higher the dividend yield of the stock, the better it is for investors.
Face value of a stock is the value ascribed to the stock as per the balance sheet of the company. The dividend declared by a company is usually declared as a percentage of face value.
Beta (β) is a measure of systematic risk. It describes the responsiveness of a stock to fluctuations in the market. Beta coefficient of more than 1 denotes that a security is more volatile than its benchmark and less than 0 signifies that security return is not correlated to market movement.
Volume Weighted Average Price represents the average price of a security over a particular time period (example one trading day) weighted by the volume traded at each price point.
This represents the 52 week high and low price of the security. It is also the 1 year high and low of the security. This represents the highest and lowest price touched by the security during the past 52 weeks or 1 year including today.
Book value represents the value arrived at by subtracting the total liabilities from the total assets of the company. On dividing this value with the total number of shares outstanding for the company, we can arrive at book value per share. Book value is also known as Net Asset Value of a company.
This is a ratio of market capitalisation of a company’s stock to its annual sales. The market capitalization here is taken for the fully paid-up equity share of the company.
Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged. It was popularised in the 1960s with the release of Letraset sheets containing Lorem Ipsum passages, and more recently with desktop publishing software like Aldus PageMaker including versions of Lorem Ipsum.
Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged. It was popularised in the 1960s with the release of Letraset sheets containing Lorem Ipsum passages, and more recently with desktop publishing software like Aldus PageMaker including versions of Lorem Ipsum.
Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged. It was popularised in the 1960s with the release of Letraset sheets containing Lorem Ipsum passages, and more recently with desktop publishing software like Aldus PageMaker including versions of Lorem Ipsum.
Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged. It was popularised in the 1960s with the release of Letraset sheets containing Lorem Ipsum passages, and more recently with desktop publishing software like Aldus PageMaker including versions of Lorem Ipsum.
Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged. It was popularised in the 1960s with the release of Letraset sheets containing Lorem Ipsum passages, and more recently with desktop publishing software like Aldus PageMaker including versions of Lorem Ipsum.
Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged. It was popularised in the 1960s with the release of Letraset sheets containing Lorem Ipsum passages, and more recently with desktop publishing software like Aldus PageMaker including versions of Lorem Ipsum.
Pivot points are indicative support and resistance levels which are calculated on basis of previous day’s high, low and closing prices. Pivot level for Monday’s trade would be based on Friday’s prices and Monday’s, high, low and close price would go into calculation of pivot levels for Tuesday’s trading session.
There are two underlying assumptions in pivot points. First, the specific price level indicated by R1, R2 and R3 may act as a barrier or resistance in an uptrend. So, if a stock moves up above these pivots levels, the uptrend gets confirmed. Second these specific price levels may see an increased activity, hence may be used as levels to book profit by traders with a long positions. For traders with short position, these points are often helpful in determining what should be the stop loss for a trade.
Similarly, in case of support levels as indicated by S1, S2 and S3, they may act as price level where a stock might get a breather when it is slipping southward. In case these supports levels are broken it is a confirmation of a down trend. The stock may also see increased activity close to pivot levels. They may be used by trader may use them to put stop loss for a long trade. If a trader has short position, the pivot level may help in determine a level, where profit may be booked.
Like any other technical indicator, pivots levels cannot and should not be used as single factor while taking a trading decision. They should be combined with other technical indicators. It could be short term moving averages, stochastic, moving average convergence divergence (MACD) or overbought level as indicated by relative strength index (RSI). For example, if a breakdown of support level (S1, S2 or S3) is accompanied with stock price also moving below its short term moving average or stochastic on daily charts giving a sell signal, it would add to weightage to the decision of taking a short trade.