Jetking Infotrain

Jetking Infotrain Tangible Book Value per Share

The Tangible Book Value per Share of Jetking Infotrain (517063.BO) as of Oct 12, 2026 is 70.28 INR. In the previous year, Tangible Book Value per Share was 48.18 INR — a change of 45.88% (higher).

Tangible Book Value per Share

70.28INR

YoY

45.88%

Last updated:

Tangible Book Value per Share of Jetking Infotrain is 2026 70.28 INR. Tangible Book Value per Share of Jetking Infotrain was 2025 48.18 INR. It decreases by 45.88% higher compared to the previous year.

The Jetking Infotrain Tangible Book Value per Share history

  • 3 Years

  • 10 Years

  • 25 Years

  • Max

Tangible Book Value per Share
Date
Tangible Book Value per Share
Jan 1, 2019
67.72 INR
Jan 1, 2020
57.28 INR
Jan 1, 2021
58.43 INR
Jan 1, 2022
61.28 INR
Jan 1, 2023
62.30 INR
Jan 1, 2024
51.15 INR
Jan 1, 2025
48.18 INR
Jan 1, 2026
70.28 INR
The Jetking Infotrain Tangible Book Value per Share history
YEARTangible Book Value per ShareYoY
70.28INR+45.88%
48.18INR-5.80%
51.15INR-17.90%
62.30INR+1.67%
61.28INR+4.87%
58.43INR+2.01%
57.28INR-15.42%
67.72INR-2.79%
69.66INR+0.97%
68.99INR+2.26%
67.47INR+0.72%
66.98INR+4.11%
64.33INR-2.00%
65.64INR+4.34%
62.92INR+4.12%
60.42INR+16.31%
51.95INR+29.05%
40.25INR+65.62%
24.31INR+35.67%
17.92INR—
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Jetking Infotrain Stock analysis

What does Jetking Infotrain do? Jetking Infotrain is one of the most popular companies on Eulerpool.

Frequently Asked Questions about Jetking Infotrain stock

Tangible Book Value per Share of Jetking Infotrain is 70.28 INR in 2026.

Tangible Book Value per Share of Jetking Infotrain changed from 48.18 INR to 70.28 INR, representing a 45.88% change. The value is higher than the previous year.

On Eulerpool you can find the complete historical development of Tangible Book Value per Share Jetking Infotrain since 2006 – with annual values, charts, and detailed analysis.

Tangible book value per share excludes intangible assets and goodwill, providing a more conservative measure of per-share net asset value.

Access this data via the Eulerpool API

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