Ambipar Emergency Response (AMBIQ) Fair Value & Analysis
Industrials · US · Market cap $5.5M
Ambipar Emergency Response
AMBIQ · US
Fair value as of: Aug 4, 2026
From 11 valuation models · updated 6 days ago
Share price −99.9% over the past month.
Below-average quality, currently priced close to our fair value.
What matters now
- The price sits close to our fair value, market and models broadly agree here, little valuation tension.
- Our model range runs from $0.0001 (bear) to $0.0001 (bull), base $0.0001. The closer the price sits to the lower half, the larger the margin of safety.
- Quality 27/100 (below-average quality) with medium evidence: read the verdict with care.
Price vs Fair Value (3 years)
White line = price, green steps = our fair value per fiscal year, dashed = 300-day average. As of Aug 4, 2026.
How to read this chart
41‑month range $0.0001 – $17.25 · the $0.0001 price screens below the $0.0001 fair value. Dashed = 300-day average. As of Aug 4, 2026.
Analysis
Ambipar Emergency Response (AMBIQ) currently trades at $0.0001, while our model-based Fair Value estimate is $0.0001, implying the stock looks roughly 0.0% fairly valued today. The Quality Score stands at 27/100 (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: medium), always confirm before acting.
Over the trailing twelve months, Ambipar Emergency Response generated revenue of $3.2B at a net margin of -0.6%. Revenue grew 10.4% year over year. It earns a return on equity of 3.7%. Net debt stands at $3.1B. Fundamentals as of Aug 4, 2026
For context, the median of 10 Industrials peers we cover trades at -40% fair-value upside, at 0%, AMBIQ 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 11 models by family
Widest divergence: DCF Models ($0.0001) versus DCF Models ($0.0001). Highest evidence: Growth DCF (80).
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Key figures & financial health
More key figures
Figures from reported company fundamentals · as of Aug 4, 2026. TTM = trailing twelve months.
Quality Score breakdown
Of which business quality 30 · Market factors (momentum, volatility) 9
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
Ambipar Emergency Response provides environmental, emergency response and industrial field service in Brazil and internationally.
Full company description
Ambipar Emergency Response provides environmental, emergency response and industrial field service in Brazil and internationally. The company provides emergency response and industrial field service, including response to accidents involving hazardous and non-hazardous chemical and non-chemical products and waste and natural disasters, as well as tank cleaning, silo cleaning, asbestos removal, vessel and container cleaning, waste transportation and disposal, soil remediation, turnaround, and decommissioning. It also offers biological emergency management and response services, such as epidemics and pandemics; consulting services, including accident prevention and environmental licensing; and training services to preventing, fighting, and remediating emergencies. The company is headquartered in São Paulo, Brazil. Ambipar Emergency Response is a subsidiary of Ambipar Participações e Empreendimentos S.A. On October 20, 2025, Ambipar Emergency Response a voluntary petition for reorganization under Chapter 11 in the U.S. Bankruptcy Court for the Southern District of Texas.
Company description, as reported by the company or data provider.
Revenue & earnings trend
FY2020 – FY2024 · reported fiscal years
Ambipar Emergency Response reported revenue of $3.2B in FY2024 versus $364M in FY2020, a compound +72.8%/yr. Reported net income was −$20.6M in FY2024.
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Peer Group
Waste Management · 166 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 Waste Management 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.
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 Waste Management stocks, each showing price versus our Fair Value estimate (as of Aug 4, 2026).
| Stock | Price | Fair Value | vs Fair Value |
|---|---|---|---|
| Waste Management, Inc WM | $233.33 | $128.02 | -45% |
| Republic Services, Inc RSG | $219.20 | $122.01 | -44% |
| Waste Connections, Inc WCN | C$242.43 | C$78.67 | -68% |
| Veolia Environnement SA VIE | €37.51 | €24.50 | -35% |
| Clean Harbors, Inc CLH | $303.64 | $155.37 | -49% |
| GFL Environmental Inc GFL | C$55.40 | C$94.12 | +70% |
| Fomento de Construcciones y Contratas, S.A FCC | €12.20 | €7.30 | -40% |
| GEM Co 002340 | ¥6.32 | ¥5.27 | -17% |
| Zhejiang Weiming Environment Protection Co 603568 | ¥16.18 | ¥20.91 | +29% |
| Cleanaway Waste Management Limited CWY | A$2.34 | A$1.18 | -50% |
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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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