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Smart Auto Systems
  1. Smart Auto Systems

Smart Auto Systems-logoSmart Auto Systems-logo
Smart Auto Systems

Smart Auto Systems - Financials, Revenue, P&L Statement, Balance Sheet, Cash Flow & More

Private
Smart Auto Systems Private Limited
Private
Smart Auto Systems Private Limited
2015
2015

Founded in 2015, Smart Auto Systems operates within the automotive software sector, specializing in the development of workshop management solutions through its platform, AutoRox. Initially centered o...

Funding stage:

Series A

Last funding:

09/07/2017

Total funding:

$3.10 Mn+

Revenue:

₹3.3 Cr+ (FY23)
Prev. FY

Investors

Employee count:

62

Last 90d

62

Last 90d

Web traffic:

21.84K

21.84K

Last 30d

Last 30d

Glassdoor Rating:

Smart Auto Systems: Financial Breakdown

Decoding financial health metrics of Smart Auto Systems

  • total_revenue_logo
    Total Revenue
    ₹3.3 Cr
    22%

    Prev. FY

  • total_expenses_logo
    Total Expenses
    ₹5.8 Cr
    -13%

    Prev. FY

  • profit_after_tax_logo
    Profit After Tax
    ₹-2.5 Cr
    62%

    Prev. FY

  • total_assets_logo
    Total Assets
    ₹1.9 Cr
    -36%

    Prev. FY

  • net_profit_margin_logo
    Net Profit Margin
    -74.5%
    69%

    Prev. FY

Note: Above mentioned stats are for FY22-23

FAQs on Financials of Smart Auto Systems

No. In FY23, Smart Auto Systems reported a net loss of ₹2.5 Cr, so it was not profitable.

Smart Auto Systems's revenue grew 22.8% year-on-year, from ₹2.7 Cr in FY22 to ₹3.3 Cr in FY23.

Smart Auto Systems's estimated EBITDA for FY23 was ₹-2.4 Cr, derived from its profit before tax, finance costs, and depreciation & amortisation.

In FY23, Smart Auto Systems posted revenue of ₹3.3 Cr (up 22.8% YoY) and a net loss of ₹2.5 Cr. Explore the full financials of Smart Auto Systems here...

Disclaimer

Inc42 Datalabs consolidates intelligence from public records, statutory filings, proprietary research, and vetted third‑party datasets. All information is provided as is—please run your own checks before acting on it. Inc42 Datalabs bears no responsibility for decisions or outcomes based on this data.

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