1. MARKETS
  2. SECTOR : SOFTWARE & SERVICES
  3. INDUSTRY : IT CONSULTING & SOFTWARE
  4. ERP SOFT SYSTEMS LTD.
ERP Soft Systems Ltd. BSE: 530909
109.25 -5.70 (-4.96%)
1
BSE Volume

BSE 25 Jul, 2025 3:31 PM (IST)

Choose Stock, Parameter and Date Range
Furthest date for non subscribers is 26-07-2023
generated report

Analyze undervaluation/ overvaluation of ERP Soft Systems Ltd. with historical PE and PBV ratios

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from 26 Jul, 2023 to 25 Jul, 2025

Standalone P/E

Neutral zone

43.7% into P/E buy sell zone

% time spent below current P/E
0 20 40 60 80 100
Strong upside potential
Gains already realized

Out of 455 days, ERP Soft Systems Ltd. traded 199 (43.7%) days below the current P/E of on Standalone basis.

Consolidated P/E

Neutral zone

45.5% into P/E buy sell zone

% time spent below current P/E
0 20 40 60 80 100
Strong upside potential
Gains already realized

Out of 455 days, ERP Soft Systems Ltd. traded 207 (45.5%) days below the current P/E of on Consolidated basis.

Note: This is a reverse percentile score. Values close to 100% are bad while values close to 0% are good. Days when PE is negative are not considered in the analysis
P/E range Days traded in range % Days traded in range Days traded within & below range % Days traded within & below range
72-78
36 7.9% 36 7.9%
78-79
9 2.0% 45 9.9%
79-87
48 10.5% 93 20.4%
87-148
71 15.6% 164 36.0%
148-226
Current P/E is 200.6
65 14.3% 229 50.3%
226-358
66 14.5% 295 64.8%
358-420
77 16.9% 372 81.8%
420-445
39 8.6% 411 90.3%
445-616
44 9.7% 455 100.0%
Total 455 455
P/E range Days traded in range % Days traded in range Days traded within & below range % Days traded within & below range
160-168
26 5.7% 26 5.7%
168-178
27 5.9% 53 11.6%
178-210
39 8.6% 92 20.2%
210-343
72 15.8% 164 36.0%
343-433
Current P/E is 411.2
70 15.4% 234 51.4%
433-672
61 13.4% 295 64.8%
672-848
69 15.2% 364 80.0%
848-1030
46 10.1% 410 90.1%
1030-1236
45 9.9% 455 100.0%
Total 455 455

FAQ

  • What is the PE ratio?

    In its simplest definition, the price-to-earnings ratio (P/E ratio) represents the price an investor pays per rupee of a company's earnings.
    For example, if a company has a P/E ratio of 25, investors are willing to pay INR 25 for each rupee of the company's current earnings. This indicates that investors value the stock at 25 times its current earnings, with an expectation of future earnings growth.
    The P/E ratio fluctuates based on investor sentiment towards a company. Positive sentiment drives the stock price higher, resulting in a higher P/E ratio (investors pay more for each rupee of earnings). Conversely, negative sentiment lowers the P/E ratio (investors pay less for each rupee of earnings).
  • What is the PE buy/sell zone?

    The PE buy/sell zone is calculated based on how many days a stock has traded at its current PE level.
    To do this, we compare the current PE to the stock’s historical PE performance, to find out how often (for how many days in the past) the stock has traded at its current PE value.
    If the stock has usually traded above its current PE level (it’s at a higher PE for the majority of trading days), then the stock is cheaper than usual and in the PE buy zone.
    If the stock has usually traded below its current PE level (it’s at a lower PE for the majority of trading days), then the stock is more expensive than usual and in the PE sell zone.
  • How is the PE buy sell zone useful?

    The PE buy sell zone tells you if a stock’s current PE level is unusually high or low, and if a stock doesn’t typically trade at that level. It helps investors identify stocks that are undervalued or overvalued in terms of their typical PE trading behavior.
    Investors should keep in mind that the buy zone/sell zone is not a foolproof buy or sell signal. For example, the PE of a stock may have fallen substantially due to adverse events or negative news. Or the PE may have risen sharply after the company has won new orders, made an acquisition, announced a buyback, or some other positive event. PE Buy/Sell Zone signals should be looked at in conjunction with other information.
  • Why are the number of days different for Standalone and Consolidated data?

    This can be because of any of the 2 following reasons:
    1. Days when PE is negative are not considered in the analysis. So if only 1 of the Standalone or Consolidated PE is negative and the other is not, then the days will be different
    2. Companies have reported Consolidated data for limited period.