Marshall Machines Limited (MARSHALL) Fair Value & Analysis
Industrials · IN · Market cap ₹87.0M
Fair value as of: Aug 13, 2026
From 2 valuation models · updated 4 days ago
Below-average quality, screening 36% undervalued on our models.
What matters now
- The large discount to fair value meets weak quality (18/100). That raises the risk this is a value trap rather than a bargain.
- The large gap to fair value rests on thin data (low evidence): fewer applicable models and a shorter history. Read it with extra caution.
- A fairly wide model range (₹3.26 to ₹6.18) leaves room in how you read the outcome.
Price vs Fair Value (5 years)
White line = price, green steps = our fair value per fiscal year, dashed = 300-day average. As of Aug 13, 2026.
How to read this chart
60‑month range ₹3.64 – ₹70.45 · fair‑value band ₹3.26 – ₹6.18 · the ₹3.64 price screens below the ₹4.94 fair value. Green steps = our fair value per fiscal year (point-in-time, no hindsight). Dashed = 300-day average. As of Aug 13, 2026.
Analysis
Marshall Machines Limited (MARSHALL) currently trades at ₹3.64, while our model-based Fair Value estimate is ₹4.94, implying the stock looks roughly 35.7% undervalued today. The Quality Score stands at 18/100 (below-average quality), in the Industrials sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: low), always confirm before acting.
Over the trailing twelve months, Marshall Machines Limited generated revenue of ₹264M at a net margin of -22.1%. Revenue declined 14.3% year over year. It earns a return on equity of -9.3%. Net debt stands at ₹380M. Fundamentals as of Aug 13, 2026
Our scenario range runs from ₹3.26 (bear case) to ₹6.18 (bull case); at ₹3.64, the current price sits within 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 63% below its 52-week high and 1% above its 52-week low, currently below its 200-day average. For context, the median of 10 Industrials peers we cover trades at -67% fair-value upside, at 36%, MARSHALL 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 2 models by family
Widest divergence: Asset-Based (₹21.31) versus Multiples (₹0.7900). Highest evidence: EV/EBITDA (54).
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Key figures & financial health
More key figures
Figures from reported company fundamentals · as of Aug 13, 2026. TTM = trailing twelve months.
Quality Score breakdown
Of which business quality 22 · Market factors (momentum, volatility) 40
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
Marshall Machines Limited designs, develops, manufactures, and markets machine tool equipment in India. It offers single spindle CNC machines, two spindle and four spindle CNC machines, automated robotic CNC machines, and SmartCorrect gauging stations, as well as patent pending IOTQ suit of intelligent equipment.
Full company description
Marshall Machines Limited designs, develops, manufactures, and markets machine tool equipment in India. It offers single spindle CNC machines, two spindle and four spindle CNC machines, automated robotic CNC machines, and SmartCorrect gauging stations, as well as patent pending IOTQ suit of intelligent equipment. The company also provides linear tooling machines, smartload solutions, and turret type machines; solutions for hard turning; and intelligent solutions with clap and clamp. It also exports its products. The company was founded in 1961 and is headquartered in Ludhiana, India.
Company description, as reported by the company or data provider.
Revenue & earnings trend
FY2020 – FY2024 · reported fiscal years
Marshall Machines Limited reported revenue of ₹280M in FY2024 versus ₹590M in FY2020, a compound −17.0%/yr. Reported net income was −₹54.0M in FY2024.
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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.
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.
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 13, 2026).
| Stock | Price | Fair Value | vs Fair Value |
|---|---|---|---|
| GE Vernova Inc 1GEV | €899.80 | €186.93 | -79% |
| 1SIE 1SIE | €281.75 | €91.93 | -67% |
| SMNS SMNS | C$31.76 | C$22.75 | -28% |
| Atlas Copco AB ATCOA | kr 210.00 | kr 112.59 | -46% |
| Sandvik AB SAND | kr 358.60 | kr 193.01 | -46% |
| Zhejiang Sanhua Intelligent Controls Co 002050 | ¥39.17 | ¥22.68 | -42% |
| ABB India Limited ABB | ₹7,645 | ₹1,322 | -83% |
| Cummins India Limited CUMMINSIND | ₹5,315 | ₹1,355 | -75% |
| Bharat Heavy Electricals Limited BHEL | ₹421.70 | ₹96.51 | -77% |
| Siemens Limited SIEMENS | ₹4,019 | ₹746.83 | -81% |
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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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