Fusemachines
FUSENASDAQUSD
- — Source valuation snapshot. Not a live recalculation.
- — Latest filed annual earnings; price snapshot date unavailable. Not forward P/E.
- — Diluted earnings per share from the latest filed annual.
- $0.35 Prior regular-session close from the quote source.
- $0.32–$0.35 Regular-session low and high so far today.
- 8.8K Regular-session shares traded · Nov 11, 12:11 PM ET.
- Not yet confirmed The company has not confirmed its next report date. Reported quarters are available in the chart’s Earnings view.
- $0.22–$3.67 52-week trading low and high returned by the quote source.
Understand the Business
Why the Stock Moved
Period-matched expectations history is not yet available. Current metrics are not a substitute for a historical explanation.
The core investment thesis
Own FUSE if declining revenue reverses before cash burn forces dilutive financing.
FUSE price history
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INVESTMENT THESIS
What must happen next
Enterprises will keep buying Fusemachines only if its workflow-specific AI Studio, AI Engines, and AI Agents solve measurable operating problems better than internal teams or bundled platform tools; this claim needs calibration.WeakeningMateriality: High
Item 1 says clients use Fusemachines solutions for sales forecasting, manual data-entry elimination, recruitment automation, and real-time fraud detection. If this holds, the revenue base can reaccelerate from a small starting point; if it breaks, the AI label will not prevent continued contraction.
Watch: Microsoft, Salesforce, ServiceNow, or hyperscaler-native agent platforms become the default enterprise choice for the same document, recruiting, fraud, and workflow-automation use cases.
Supporting sources
Source notes are factual paraphrases; read the original disclosures below.
Item 1 says clients use Fusemachines solutions for sales forecasting, manual data-entry elimination, recruitment automation, and real-time fraud detection.
Open source ↗Fusemachines’ global AI talent model can protect delivery economics while it customizes and integrates AI into enterprise workflows; this claim needs calibration.StrengtheningMateriality: High
Item 1 and MD&A state that products and services are supported by a global talent pool largely sourced from underserved communities. Resilient gross profit would show the company is not merely buying growth with expensive bespoke labor; margin erosion would make scale less valuable.
Watch: AI-engineer wage inflation in Fusemachines’ key talent geographies erodes the cost advantage of the global delivery model.
Supporting sources
Source notes are factual paraphrases; read the original disclosures below.
Item 1 and MD&A state that products and services are supported by a global talent pool largely sourced from underserved.
Open source ↗AI Engines and AI Agents must make deployments more repeatable so revenue can scale without proportional growth in delivery, sales, and public-company overhead; this claim needs calibration.HoldingMateriality: Medium
Item 1 describes AI Engines as specialized, reusable solutions built on AI Studio for targeted industry and pain-point outcomes. Operating leverage is the bridge from an interesting AI-services business to a company that can create per-share value.
Watch: Customer deployments remain highly bespoke, requiring custom engineering each time instead of reusable AI Engines or Agents.
Supporting sources
Source notes are factual paraphrases; read the original disclosures below.
Item 1 describes AI Engines as specialized, reusable solutions built on AI Studio for targeted industry and pain-point outcomes.
Open source ↗Fusemachines remains financing-dependent unless customer-funded deployments replace cash-consuming implementation work; this claim needs calibration.StrengtheningMateriality: Medium
FY2025 GAAP annual operating cash flow was negative $5.529 million, worse than negative $2.201 million in FY2024. Even if the product strategy is right, shareholders can lose if the company must raise capital on punitive terms before the model inflects.
Watch: Large prepaid enterprise contracts or recurring software subscriptions materially reduce working-capital burn.
Supporting sources
Source notes are factual paraphrases; read the original disclosures below.
FY2025 GAAP annual operating cash flow was negative $5.529 million, worse than negative $2.201 million in FY2024.
Open source ↗
Full investment case & evidence
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Original research
Enterprises will keep buying Fusemachines only if its workflow-specific AI Studio, AI Engines, and AI Agents solve measurable operating problems better than internal teams or bundled platform tools; this claim needs calibration. If this holds, the revenue base can reaccelerate from a small starting point; if it breaks, the AI label will not prevent continued contraction.
Fusemachines’ global AI talent model can protect delivery economics while it customizes and integrates AI into enterprise workflows; this claim needs calibration. Resilient gross profit would show the company is not merely buying growth with expensive bespoke labor; margin erosion would make scale less valuable.
AI Engines and AI Agents must make deployments more repeatable so revenue can scale without proportional growth in delivery, sales, and public-company overhead; this claim needs calibration. Operating leverage is the bridge from an interesting AI-services business to a company that can create per-share value.
Fusemachines remains financing-dependent unless customer-funded deployments replace cash-consuming implementation work; this claim needs calibration. Even if the product strategy is right, shareholders can lose if the company must raise capital on punitive terms before the model inflects.
All standing thesis claims
Original report summary
declining revenue reverses before cash burn forces dilutive financing.
BULL CASE / BEAR CASE
Bull case and bear case for Fusemachines
Where the evidence on Fusemachines disagrees: Mixed on the latest evidence (Oct 15, 2026). Of its 4 thesis points, 2 strengthening, 1 holding and 1 weakening.
Bull case: what the evidence supports
Fusemachines’ global AI talent model can protect delivery economics while it customizes and integrates AI into enterprise workflows; this claim needs calibration.
AI Engines and AI Agents must make deployments more repeatable so revenue can scale without proportional growth in delivery, sales, and public-company overhead; this claim needs calibration.
Fusemachines remains financing-dependent unless customer-funded deployments replace cash-consuming implementation work; this claim needs calibration.
Bear case: what the evidence questions
Enterprises will keep buying Fusemachines only if its workflow-specific AI Studio, AI Engines, and AI Agents solve measurable operating problems better than internal teams or bundled platform tools; this claim needs calibration.
Thesis-Break Engine
What has broken in Fusemachines’s thesis
Each break OptimistFi flagged on Fusemachines, dated — with what has historically followed the same kind of break across the market, not a forecast for Fusemachines.
- CEO / officer changecondition set before this filing
Across all companies, this kind of break has happened 16,849 times before. Those stocks trailed comparable companies by a median of 2% over the next six months, and 38% of them trailed it by 10 points or more.
Early warning
The break condition read on the trailing twelve months through Fusemachines’s latest quarterly report, ahead of the annual figure it is written on.
- Operating loss, trailing 12 months
Across all companies, this kind of early warning has happened 982 times before. Those stocks trailed comparable companies by a median of 1% over the next six months, and 39% of them trailed it by 10 points or more.
Several kinds of break have stacked on Fusemachines at once. A cluster is a stronger read than any one signal alone.
MARKET + FINANCIAL SNAPSHOT
The numbers behind the thesis
What Changed
- MIXEDDelisting notice or listing-rule failure.
Fusemachines filed an SEC 8-K on 2026-09-25: Delisting notice or listing-rule failure. It is a dated development that tests the current thesis.
- MIXEDDelisting notice or listing-rule failure.
Fusemachines filed an SEC 8-K on 2026-09-18: Delisting notice or listing-rule failure. It is a dated development that tests the current thesis.
- MIXEDEntered a material definitive agreement.
Fusemachines filed an SEC 8-K on 2026-09-15: Entered a material definitive agreement. It is a dated development that tests the current thesis.
RISKS / FALSIFIERS
What could break the thesis
- Microsoft, Salesforce, ServiceNow, or hyperscaler-native agent platforms become the default enterprise choice for the same document, recruiting, fraud, and workflow-automation use cases.
- AI-engineer wage inflation in Fusemachines’ key talent geographies erodes the cost advantage of the global delivery model.
- Customer deployments remain highly bespoke, requiring custom engineering each time instead of reusable AI Engines or Agents.
- Large prepaid enterprise contracts or recurring software subscriptions materially reduce working-capital burn.
FUSE news
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FINANCIAL STATEMENTS
FUSE income statement
Annual filed results · USD · Oldest to newest. Margins are calculated from the reported figures.
FUSE: quick answers
- What is FUSE's short interest?
- As of October 30, 2026, 553,834 FUSE shares were sold short, 1.70% of its shares outstanding, down 0.7% from the count before. At the stock's average daily volume that is 5.8 days to cover. FINRA publishes the count twice a month. FUSE short interest history