Praj Industries
Process engineering with bioenergy and process water systems; semicon exposure indirect via process systems.
Quality of growth, returns, cash conversion and balance sheet
Trend, momentum, volume and relative strength composite
Higher = cheaper vs peers and own history
Blended decision input
What's real, what's pending, on this page
- · Live price, day change, market cap — NSE direct
- · 1Y OHLCV, RSI(14), 50/200 DMA, 1M/3M/1Y returns, RS vs Nifty — computed from real NSE OHLCV
- · Sector P/E — NSE direct
- · Promoter %, pledge %, MF/FII/public split, 9-quarter history — Trendlyne
- · Earnings call AI summaries — Trendlyne (where available)
- · Technical (TQ-100) score — computed from real OHLCV
- · Annual revenue / EBITDA / PAT / OCF / FCF / equity / assets — Trendlyne (audited annuals)
- · Segment classification + semicon directness score — analyst seed
- · Bull/bear case + monitorables (curated thesis) — analyst seed
- · Governance risk score (seed) — being replaced by AI-agent assessment
- · Synthesized 5Y forecast removed entirely (was inaccurate)
Growth 20 / Margin 15 / ROC 20 / Cash 15 / Leverage 10 / Reinvestment 8 / Accounting 7 / Governance 5 minus red flags (capped -20).
- − Weak cash conversionOCF/EBITDA 44% < 50%-4
- − Declining revenueRev 1Y -8.3%-4
Computed from real 1Y OHLCV pulled from NSE direct: trend, momentum, volume, RS vs Nifty, MA cluster, mean reversion, volatility, patterns minus red flags.
- − Deep drawdown-25% from 52W high-8
AI research agents
Re-classify segment exposure and re-assess governance risk by running fresh AI agents on the latest data. Results cache to data/agents.json.
AI thesis
Generates a fresh thesis grounded in this company's data. Wires to Anthropic when ANTHROPIC_API_KEY is set, otherwise returns a deterministic mock.
Curated thesis
Analyst-set bull, bear and monitorables · use AI thesis above for a fresh take
Process engineering quality compounder; semicon angle is incremental, core thesis is bioenergy and chemicals.
- +Net cash
- +Bioenergy tailwind
- +Process water optionality
- −Order book lumpiness
- −Indirect semicon exposure
- −Bioenergy policy uncertainty
Semiconductor exposure
How direct, how visible
Financial snapshot
Latest reported metrics · mock data, ready for live financials
Extracted from Trendlyne · audited annuals · TTM + last 6 fiscal years
| Line | TTM | FY25 | FY24 | FY23 | FY22 | FY21 | FY20 |
|---|---|---|---|---|---|---|---|
| Revenue | ₹2.6k cr | ₹2.8k cr | ₹3.1k cr | ₹3.2k cr | ₹2.1k cr | ₹1.1k cr | ₹976 cr |
| ↳ YoY growth | -5.6% | -8.3% | -4.5% | +53.6% | +87.6% | +14.0% | — |
| EBITDA | ₹371 cr | ₹405 cr | ₹340 cr | ₹206 cr | ₹118 cr | ₹109 cr | ₹102 cr |
| ↳ EBITDA margin | 14.0% | 14.4% | 11.1% | 6.4% | 5.7% | 9.8% | 10.4% |
| PAT | ₹137 cr | ₹264 cr | ₹280 cr | ₹238 cr | ₹164 cr | ₹71 cr | ₹65 cr |
| ↳ PAT margin | 5.2% | 9.4% | 9.2% | 7.4% | 7.9% | 6.4% | 6.6% |
| OCF | ₹75 cr | ₹178 cr | ₹131 cr | ₹153 cr | ₹210 cr | ₹14 cr | ₹4 cr |
| ↳ OCF / EBITDA | 20.1% | 43.9% | 38.5% | 74.4% | 177.8% | 12.5% | 4.2% |
| FCF (= OCF − capex) | ₹75 cr | ₹148 cr | ₹65 cr | ₹47 cr | ₹55 cr | ₹14 cr | ₹1 cr |
| Total Equity | ₹1.4k cr | ₹1.3k cr | ₹1.1k cr | ₹907 cr | ₹777 cr | ₹704 cr | ₹736 cr |
| Total Assets | ₹2.8k cr | ₹2.5k cr | ₹2.4k cr | ₹2.1k cr | ₹1.5k cr | ₹1.1k cr | ₹1.2k cr |
| ↳ ROE | 9.7% | 21.0% | 26.3% | 26.2% | 21.2% | 10.1% | 8.8% |
| ↳ ROA | 4.9% | 10.4% | 11.5% | 11.5% | 11.2% | 6.7% | 5.5% |
From Trendlyne · 9 quarters · synced Invalid Date
- ·Promoter stable at 32.8%
- ·No pledge
- ·Diversified institutional holding
Capital allocation, debt discipline, alignment, governance composite. Computed from disclosed metrics.
What the market is pricing in versus our read, and what would invalidate the thesis.
Steady but unspectacular execution. Multiples reflect mid-pack expectations.
Consensus appears reasonable. Look for thesis-changing catalysts (margin inflection, new customer wins, segment mix shift) rather than narrative re-rating alone.
- ×Working capital blowout disclosed in next quarterly result
References
Wire to live data sources in production