Diffusion Engineers Limited (DIFFNKG) Fair Value & Analysis
Industrials · IN · Market cap ₹14.4B
Fair value as of: Aug 2, 2026
From 17 valuation models · updated 11 days ago
Share price −8.4% over the past month.
A solid business, but screening 36% overvalued on our models.
What matters now
- The price sits above even our optimistic bull case (₹288.03). The favourable scenario is already priced in.
- Solid but not exceptional quality (53/100) and above fair value, neither a clear bargain nor a standout compounder.
Price vs Fair Value (22 months)
White line = price, green steps = our fair value per fiscal year, dashed = 300-day average. As of Aug 2, 2026.
How to read this chart
22‑month range ₹202.20 – ₹487.35 · fair‑value band ₹172.82 – ₹288.03 · the ₹362.60 price screens above the ₹230.43 fair value. Dashed = 300-day average. As of Aug 2, 2026.
Analysis
Diffusion Engineers Limited (DIFFNKG) currently trades at ₹362.60, while our model-based Fair Value estimate is ₹230.43, implying the stock looks roughly 36.5% overvalued today. The Quality Score stands at 53/100 (solid quality), in the Industrials sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium, the entry price still matters most (evidence: high).
Over the trailing twelve months, Diffusion Engineers Limited generated revenue of ₹4.1B at a net margin of 12.4%. Revenue grew 38.2% year over year. It earns a return on equity of 13.0%. The balance sheet holds a net cash position of ₹689M. Fundamentals as of Aug 2, 2026
Our scenario range runs from ₹172.82 (bear case) to ₹288.03 (bull case); at ₹362.60, the current price sits above that range. Bear and bull are the same models run on conservative and optimistic assumptions (margins, growth, valuation multiples), so a plausible valuation range, not a price target. The share trades about 13% below its 52-week high and 67% above its 52-week low, currently above its 200-day average. For context, the median of 10 Industrials peers we cover trades at -48% fair-value upside, at -36%, DIFFNKG screens cheaper than that median.
Fair Value models
Each model estimates fair value its own way; the Fair Value above is the evidence-weighted blend. Evidence (0–100) measures how completely this model’s inputs are available: well-fed models carry more weight in the blend. The spread across models is intentional, each one stresses a different value driver; dividend models, for instance, come out structurally low when payout is small.
All 17 models by family
Widest divergence: Growth Earnings (₹358.52) versus Dividend Discount (₹24.33). Highest evidence: Residual Income (76).
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Key figures & financial health
More key figures
Figures from reported company fundamentals · as of Aug 2, 2026. TTM = trailing twelve months.
Quality Score breakdown
Of which business quality 53 · Market factors (momentum, volatility) 56
Non-valuation factor families (profitability, growth, cashflow, financial strength, momentum …), each academically grounded. Valuation itself sits in the Fair Value and is deliberately excluded here to avoid double-counting.
About the company
Diffusion Engineers Limited manufactures and sells welding consumables, wear plates and parts, and heavy engineering equipment for various industries in India and internationally. The company provides specialized and customized repairs and reconditioning services for heavy machinery and equipment.
Full company description
Diffusion Engineers Limited manufactures and sells welding consumables, wear plates and parts, and heavy engineering equipment for various industries in India and internationally. The company provides specialized and customized repairs and reconditioning services for heavy machinery and equipment. It also trades in anti-wear powders, and welding and cutting machinery. The company was incorporated in 1982 and is based in Nagpur, India.
Company description, as reported by the company or data provider.
Revenue & earnings trend
FY2022 – FY2026 · reported fiscal years
Diffusion Engineers Limited reported revenue of ₹4.1B in FY2026 versus ₹2.0B in FY2022, a compound +19.0%/yr. Reported net income was ₹503M in FY2026, compounding +31.1%/yr from FY2022.
DIFFNKG screens 36% overvalued. Compare with GE Vernova Inc →
Peer Group
Specialty Industrial Machinery · 805 stocks
How this stock ranks against its industry: the green marker is this stock, the band is the typical 25–75% peer range, and the tick is the median.
Valuation Multiples vs Specialty Industrial Machinery median · lower = cheaper
Snowflake
Five quick dimensions, each 0 to 100: VALUE (fair-value potential), FUTURE (revenue growth), PAST (return on equity), HEALTH (low debt), DIVIDEND (yield). Green = this stock, grey = typical sector peer.
VALUE 0: the price sits above our fair-value range.
Values & ESG
Does this company touch areas you may want to avoid? The classification is inferred from sector and industry.
ESG scores are not available for this stock yet. Values and ESG data are contextual and can differ between providers.
Similar stocks
10 more Specialty Industrial Machinery stocks, each showing price versus our Fair Value estimate (as of Aug 2, 2026).
| Stock | Price | Fair Value | vs Fair Value |
|---|---|---|---|
| GE Vernova Inc 1GEV | €887.60 | €186.93 | -79% |
| 1SIE 1SIE | €273.20 | €91.93 | -66% |
| SMNS SMNS | C$31.76 | C$22.68 | -29% |
| Eaton Corporation ETN | $407.28 | $171.92 | -58% |
| Atlas Copco AB ATCOA | kr 195.15 | kr 112.59 | -42% |
| Sandvik AB SAND | kr 384.10 | kr 193.01 | -50% |
| Doosan Enerbility Co 034020 | 76,400 KRW | 7,938 KRW | -90% |
| Zhejiang Sanhua Intelligent Controls Co 002050 | ¥43.20 | ¥22.68 | -48% |
| Vestas Wind Systems A/S VWS | kr 178.10 | kr 124.54 | -30% |
| NARI Technology Co 600406 | ¥22.19 | ¥18.71 | -16% |
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Frequently asked questions
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How we calculate Fair Value
Each company is valued through a stack of independent intrinsic-value models (DCF variants, residual-income, multiples and more), blended into one family-balanced consensus and weighted by how much trustworthy data backs it. A separate quality layer scores the fundamentals. Every input is real reported data, nothing guessed.
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