Securekloud Technologies

Securekloud Technologies Net Debt/FCF

The Net Debt to Free Cash Flow Ratio of Securekloud Technologies (SECURKLOUD.NS) as of Sep 27, 2026 is -0.96. In the previous year, Net Debt to Free Cash Flow Ratio was 27.36 — a change of -103.50% (lower).

Net Debt/FCF

-0.96

YoY

-103.50%

Last updated:

Net Debt to Free Cash Flow Ratio of Securekloud Technologies is 2026 -0.96 . Net Debt to Free Cash Flow Ratio of Securekloud Technologies was 2025 27.36 . It decreases by -103.50% lower compared to the previous year.

The Securekloud Technologies Net Debt/FCF history

  • 3 Years

  • 10 Years

  • 25 Years

  • Max

Net Debt/FCF
Date
Net Debt/FCF
Jan 1, 2018
-1.17 INR
Jan 1, 2019
-0.97 INR
Jan 1, 2020
1.27 INR
Jan 1, 2021
19.32 INR
Jan 1, 2022
-1.51 INR
Jan 1, 2023
-1.57 INR
Jan 1, 2024
27.36 INR
Jan 1, 2025
-0.96 INR
The Securekloud Technologies Net Debt/FCF history
YEARNet Debt/FCFYoY
-0.96-103.50%
27.36-1,837.43%
-1.57+4.44%
-1.51-107.80%
19.32+1,416.70%
1.27-231.15%
-0.97-17.08%
-1.17-18.71%
-1.44-629.51%
0.27-80.45%
1.39+5,588.47%
0.02—
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Securekloud Technologies Stock analysis

What does Securekloud Technologies do? Securekloud Technologies is one of the most popular companies on Eulerpool.

Frequently Asked Questions about Securekloud Technologies stock

Net Debt to Free Cash Flow Ratio of Securekloud Technologies is -0.96 in 2026.

Net Debt to Free Cash Flow Ratio of Securekloud Technologies changed from 27.36 to -0.96, representing a -103.50% change. The value is lower than the previous year.

On Eulerpool you can find the complete historical development of Net Debt to Free Cash Flow Ratio Securekloud Technologies since 2006 – with annual values, charts, and detailed analysis.

Net Debt/FCF indicates how many years it would take to repay net debt using free cash flow. Lower ratios suggest faster deleveraging potential.

A 'good' varies by industry and company stage. On Eulerpool, you can compare Net Debt to Free Cash Flow Ratio's Securekloud Technologies with sector peers and the industry average to assess whether it is attractive.

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