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Jidoka Technologies-logo
Jidoka Technologies
Jidoka Technologies-logoJidoka Technologies-logo
Jidoka Technologies

Jidoka Technologies - Financials, Revenue, P&L Statement, Balance Sheet, Cash Flow & More

Private
Jidoka Technologies Private Limited
Private
Jidoka Technologies Private Limited
2018
2018

Founded in 2018, Jidoka Technologies operates in AI industry. Initially focusing on automated visual inspection systems for various manufacturing processes, the company has broadened its portfolio to ...

Funding stage:

Grant

Last funding:

25/06/2024

Total funding:

$732.44K+

Revenue:

₹1.1 Cr+ (FY22)
Prev. FY

Investors

Employee count:

59

Last 90d

59

Last 90d

Web traffic:

11.72K

11.72K

Last 30d

Last 30d

Jidoka Technologies: Financial Breakdown

Decoding financial health metrics of Jidoka Technologies

  • total_revenue_logo
    Total Revenue
    ₹1.1 Cr
    236%

    Prev. FY

  • total_expenses_logo
    Total Expenses
    ₹3.7 Cr
    204%

    Prev. FY

  • profit_after_tax_logo
    Profit After Tax
    ₹-1.9 Cr
    -182%

    Prev. FY

  • total_assets_logo
    Total Assets
    ₹2.2 Cr
    -18%

    Prev. FY

  • net_profit_margin_logo
    Net Profit Margin
    -1.8%
    14%

    Prev. FY

Note: Above mentioned stats are for FY21-22

FAQs on Financials of Jidoka Technologies

No. In FY22, Jidoka Technologies reported a net loss of ₹1.9 Cr, so it was not profitable.

Jidoka Technologies's revenue grew 236.4% year-on-year, from ₹33.0 Lakh in FY21 to ₹1.1 Cr in FY22.

Jidoka Technologies's estimated EBITDA for FY22 was ₹-2.2 Cr, derived from its profit before tax, finance costs, and depreciation & amortisation.

In FY22, Jidoka Technologies posted revenue of ₹1.1 Cr (up 236.4% YoY) and a net loss of ₹1.9 Cr. Explore the full financials of Jidoka Technologies 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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