Key Takeaways
- IRB Infrastructure Developers Ltd reported total revenue of INR 7,248.72 crore for FY2023, reflecting a 24.3% year-over-year growth driven by increased toll collections and construction activities
- The company's EBITDA for FY2023 reached INR 3,124.50 crore, achieving an EBITDA margin of 43.1%, up from 40.2% in FY2022 due to operational efficiencies
- IRB's net profit after tax for FY2023 was INR 1,159.30 crore, a 35.7% increase YoY, supported by higher other income and reduced finance costs
- Order book value stood at INR 28,500 crore as of FY2023 end, with 60% from HAM projects and 40% EPC
- Total operational toll roads length was 5,823 km across 18 projects as of March 2023, generating average daily traffic of 0.45 million vehicles
- HAM projects under construction numbered 12, spanning 1,245 km, with expected commissioning by FY2026
- Employee headcount as of March 2023 was 2,450 full-time employees, with 35% in engineering and operations roles
- Female employee representation stood at 12.5% in FY2023, up from 10.2% with initiatives in skill development
- Training hours per employee averaged 48 hours in FY2023, focusing on safety and project management certifications
- IRB share price closed at INR 58.45 on March 31, 2023, with 52-week high of INR 67.20 and low of INR 40.10
- Market capitalization as of FY2023 end was INR 35,120 crore, ranking 8th among infra developers
- P/E ratio stood at 21.4x as of March 2023, compared to sector average of 25.6x
- GHG emissions reduced by 18% to 45,200 tCO2e in FY2023 through renewable energy adoption at sites
- Water consumption per km constructed: 120 KL reduced to 105 KL in FY2023 via recycling initiatives
- CSR projects impacted 50 villages with road connectivity improvements worth INR 12 crore
IRB's strong 2023 growth was driven by higher toll revenue and improved profitability.
Financial Metrics
Financial Metrics Interpretation
Human Resources
Human Resources Interpretation
Market and Stock
Market and Stock Interpretation
Operational Data
Operational Data Interpretation
Sustainability and Others
Sustainability and Others Interpretation
How We Rate Confidence
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point.
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Aisha Okonkwo. (2026, February 13). Irb Statistics. Gitnux. https://gitnux.org/irb-statistics
Aisha Okonkwo. "Irb Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/irb-statistics.
Aisha Okonkwo. 2026. "Irb Statistics." Gitnux. https://gitnux.org/irb-statistics.
Sources & References
- Reference 1IRBirb.co.inVisit source
- Reference 2MONEYCONTROLmoneycontrol.comVisit source
- Reference 3SCREENERscreener.inVisit source
- Reference 4BSEINDIAbseindia.comVisit source
- Reference 5TICKERTAPEtickertape.inVisit source
- Reference 6NSEINDIAnseindia.comVisit source
- Reference 7TRENDLYNEtrendlyne.comVisit source
- Reference 8VALUERESEARCHONLINEvalueresearchonline.comVisit source
- Reference 9ICICIDIRECTicicidirect.comVisit source






