Shibaura Machine Co (TSHMY) Fair Value & Analysis
Industrials · US · Market cap $528M
Shibaura Machine Co
TSHMY · US
Fair value as of: Jul 21, 2026
From 12 valuation models · updated 4 days ago
Fair value updated Jul 21, 2026, revised from $12.88 to $3.00 (−76.7%) since Jun 25, 2026. Share price −19.0% over the past month.
Price vs Fair Value (12 months)
12‑month range $7.87 – $17.10 · fair‑value band $2.25 – $3.75 · the $11.17 price screens above the $3.00 fair value. As of Jul 21, 2026.
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Shibaura Machine Co (TSHMY) currently trades at $11.17, while our model-based Fair Value estimate is $3.00, implying the stock looks roughly 73.1% overvalued today. We read business quality at 44/100 (below-average 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: medium).
Over the trailing twelve months, Shibaura Machine Co generated revenue of $133B at a net margin of 0.8%. Revenue grew 14.2% year over year. It earns a return on equity of 0.9%. The balance sheet holds a net cash position of $27.2B. Fundamentals as of Jul 21, 2026
Our scenario range runs from $2.25 (bear case) to $3.75 (bull case); at $11.17, the current price sits above that range. The share trades about 35% below its 52-week high, currently below its 200-day average. For context, the median of 10 Industrials peers we cover trades at -43% fair-value upside, at -73%, TSHMY screens richer than that median.
Key figures & financial health
More key figures
Figures from reported company fundamentals (EODHD) · as of Jul 21, 2026. TTM = trailing twelve months.
About the company
Shibaura Machine Co.,Ltd. engages in the manufacture and sale of various machines in Japan and internationally. It operates through three segments: Molding Machinery, Machine Tools, and Control Systems. The company offers injection molding machines, die-casting machines, extrusion machines, nano processing systems, machine tools, Board Type PLC, servo motors, industrial robots, and IoT+m products, as well as provides additive manufacturing systems and engineering solutions. It also provides high precision machine tools, micro pattern imprinting machines, high precision glass mold press machines, and electronic control system. In addition, the company provides machine tools that include double column type machining centers, horizontal boring machines, vertical lathes, and other machine tools. Furthur, it is involved in the castings, heat treatment, and machining work activities. The company was formerly known as Toshiba Machine Co., Ltd. and changed its name to Shibaura Machine …
Revenue & earnings trend
FY2022 – FY2026 · reported fiscal years
Shibaura Machine Co reported revenue of $141B in FY2026 versus $108B in FY2022, a compound +6.9%/yr. Reported net income was $1.1B in FY2026, compounding −26.5%/yr from FY2022.
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10 more Specialty Industrial Machinery stocks, each showing price versus our Fair Value estimate (as of Jul 21, 2026).
| Stock | Price | Fair Value | vs Fair Value |
|---|---|---|---|
| GE Vernova Inc 1GEV | €967.60 | €212.97 | -78% |
| SIEGY SIEGY | $154.09 | $89.55 | -42% |
| 1SIE 1SIE | €284.30 | €122.46 | -57% |
| SMAWF SMAWF | $311.42 | $177.52 | -43% |
| SMNS SMNS | C$31.76 | C$22.85 | -28% |
| SIE SIE | €269.80 | €161.17 | -40% |
| Schneider Electric S.E. SBGSF | $315.58 | $148.47 | -53% |
| Siemens Energy AG SMEGF | $164.50 | $46.76 | -72% |
| Eaton Corporation ETN | $435.78 | $171.58 | -61% |
| Atlas Copco AB ATCOA | kr 179.35 | kr 122.65 | -32% |
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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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Not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.