Deep Polymers

Deep Polymers P/B

The P/B (Price-to-Book Ratio) of Deep Polymers (541778.BO) as of Oct 11, 2026 is 0.84. In the previous year, P/B (Price-to-Book Ratio) was 1.19 — a change of -28.84% (lower).

P/B

0.84

YoY

-28.84%

Last updated:

P/B (Price-to-Book Ratio) of Deep Polymers is 2025 0.84 . P/B (Price-to-Book Ratio) of Deep Polymers was 2024 1.19 . It decreases by -28.84% lower compared to the previous year.

The Deep Polymers P/B history

  • 3 Years

  • 10 Years

  • 25 Years

  • Max

P/B
Date
P/B
Jan 1, 2017
4.85 INR
Jan 1, 2018
4.26 INR
Jan 1, 2019
3.18 INR
Jan 1, 2020
2.71 INR
Jan 1, 2021
2.80 INR
Jan 1, 2022
1.39 INR
Jan 1, 2023
1.19 INR
Jan 1, 2025
0.84 INR
The Deep Polymers P/B history
YEARP/BYoY
0.84-28.84%
1.19-14.45%
1.39-50.42%
2.80+3.12%
2.71-14.69%
3.18-25.39%
4.26-12.21%
4.85-8.25%
5.29-33.20%
7.91—
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Deep Polymers Stock analysis

What does Deep Polymers do? Deep Polymers is one of the most popular companies on Eulerpool.

Frequently Asked Questions about Deep Polymers stock

P/B (Price-to-Book Ratio) of Deep Polymers is 0.84 in 2025.

P/B (Price-to-Book Ratio) of Deep Polymers changed from 1.19 to 0.84, representing a -28.84% change. The value is lower than the previous year.

On Eulerpool you can find the complete historical development of P/B (Price-to-Book Ratio) Deep Polymers since 2006 – with annual values, charts, and detailed analysis.

The Price-to-Book ratio compares a company's market price to its book value. A low P/B may indicate an undervalued stock, while a high P/B could suggest overvaluation or strong growth expectations.

P/B = Stock Price / Book Value per Share

To evaluate P/B (Price-to-Book Ratio)'s, it is essential to compare it with peers in the same industry and sector. On Eulerpool, you can find direct industry comparisons for P/B (Price-to-Book Ratio).

A 'good' varies by industry and company stage. On Eulerpool, you can compare P/B (Price-to-Book Ratio)'s Deep Polymers with sector peers and the industry average to assess whether it is attractive.

Access this data via the Eulerpool API

Valuation — Deep Polymers

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