Fabric.AIFABC -4.94%34 EV-to-FCF is -2.08 as of Jun. 24, 2026. GuruFocus rates FABC with a GF Score™ of 34/100 and a GF Value™ of $0.15 (Significantly Overvalued). The stock has 2 warning signs investors should review. Among 846 Vehicles & Parts companies, Fabric.AI ranks worse than 118203.19% on this metric.
EV-to-FCF is calculated as enterprise value divided by its free cash flow. As of today, Fabric.AI's Enterprise Value is $15.21 Mil.
Fabric.AI's Free Cash Flow for the trailing twelve months (TTM) ended in Mar. 2026 was $-7.32 Mil. Therefore, Fabric.AI's EV-to-FCF for today is -2.08.
The historical rank and industry rank for Fabric.AI's EV-to-FCF or its related term are showing as below:
FABC'
s EV-to-FCF Range Over the Past 10 Years
Min: -22.16 Med: 0.51 Max: 1.85
Current: -2.08
During the past 7 years, the highest EV-to-FCF of Fabric.AI was 1.85. The lowest was -22.16. And the median was 0.51.
FABC's EV-to-FCF is ranked worse than 100% of 846
companies
in the Vehicles & Parts industry
Industry Median: 17.075
vs FABC: -2.08
EV-to-FCF is a valuation multiple that allows analysts and investors to compare stocks, preferably in the same sector or industry. This important multiple is often used in conjunction with, or as an alternative to, the PE Ratio (TTM) to determine the fair market value of a company.
EV-to-FCF is a valuation multiple that allows analysts and investors to compare stocks, preferably in the same sector or industry. This important multiple is often used in conjunction with, or as an alternative to, the PE Ratio (TTM) to determine the fair market value of a company.
Fabric.AI's share price for today is $3.08.
Fabric.AI's Earnings per Share (Diluted) for the trailing twelve months (TTM) ended in Mar. 2026 adds up the quarterly data reported by the company within the most recent 12 months, which was $-40.482.
* For Operating Data section: All numbers are indicated by the unit behind each term and all currency related amount are in USD. * For other sections: All numbers are in millions except for per share data, ratio, and percentage. All currency related amount are indicated in the company's associated stock exchange currency.
Enterprise Value is used because it is a more complete measure in reflecting how much an investor pays when buying a company. Free Cash Flow is an important financial metric because it represents the actual amount of cash at a company's disposal. Companies with a low EV-to-FCF ratio, combined with a strong balance sheet are generally considered as undervalued.
Fabric.AI EV-to-FCF Related Terms
Fabric.AI EV-to-FCF Historical Data
* Premium members only.
The historical data trend for Fabric.AI's EV-to-FCF can be seen below:
* For Operating Data section: All numbers are indicated by the unit behind each term and all currency related amount are in USD. * For other sections: All numbers are in millions except for per share data, ratio, and percentage. All currency related amount are indicated in the company's associated stock exchange currency.
For the Auto Manufacturers subindustry, Fabric.AI's EV-to-FCF, along with its competitors' market caps and EV-to-FCF data, can be viewed below:
* Competitive companies are chosen from companies within the same industry, with headquarter located in same country, with closest market capitalization; x-axis shows the market cap, and y-axis shows the term value; the bigger the dot, the larger the market cap. Note that "N/A" values will not show up in the chart.
Fabric.AI EV-to-FCF vs Vehicles & Parts Industry
For the Vehicles & Parts industry and Consumer Cyclical sector, Fabric.AI's EV-to-FCF distribution charts can be found below:
* The bar in red indicates where Fabric.AI's EV-to-FCF falls into.
Fabric.AI's current Enterprise Value is $15.21 Mil.
Fabric.AI's Free Cash Flow for the trailing twelve months (TTM) ended in Mar. 2026 adds up the quarterly data reported by the company within the most recent 12 months, which was $-7.32 Mil.
* For Operating Data section: All numbers are indicated by the unit behind each term and all currency related amount are in USD. * For other sections: All numbers are in millions except for per share data, ratio, and percentage. All currency related amount are indicated in the company's associated stock exchange currency.
Fabric.AI (FABC) has a EV-to-FCF of -2.08 as of Jun. 24, 2026. EV to FCF ratio is the company's enterprise value divided by free cash flow. View historical data on Fabric.AI and its competitors. According to the industry distribution chart, Fabric.AI ranks #999999 out of 846 companies in the Vehicles & Parts industry.
Is Fabric.AI's EV-to-FCF too high?
Fabric.AI's current EV-to-FCF is -2.08. Based on the distribution chart, Fabric.AI ranks #999999 out of 846 companies in the Vehicles & Parts industry, which is in the bottom quartile relative to peers. Overall, Fabric.AI has a GF Score™ of 34/100 and is considered Significantly Overvalued, reflecting its overall financial health beyond just this single metric.
How does Fabric.AI's EV-to-FCF compare to EVTV and AIEV?
According to the Vehicles & Parts industry distribution chart, Fabric.AI ranks #999999 out of 846 companies for EV-to-FCF. This places Fabric.AI in the lower half of its industry. The industry median EV-to-FCF is 17.08. See the competitive comparison table and distribution chart on this page for a detailed peer-by-peer breakdown.
What is a good EV-to-FCF for a Vehicles & Parts company?
The median EV-to-FCF among Vehicles & Parts companies is 17.08, based on 846 companies in the industry. Companies in the top quartile (top 25%) have a EV-to-FCF significantly above this median, while those in the bottom quartile fall well below. However, EV-to-FCF should not be evaluated in isolation — investors should consider it alongside profitability, growth, and financial strength metrics. Use the industry distribution chart on this page to see where any company falls relative to its peers.
What does a high EV-to-FCF mean?
A high EV-to-FCF can signal that a stock is expensive relative to its fundamentals. EV to FCF ratio is the company's enterprise value divided by free cash flow. View historical data on Fabric.AI and its competitors. For the Vehicles & Parts industry, the median EV-to-FCF is 17.08 — values significantly above this may indicate overvaluation, while values below may suggest a bargain or underlying issues. Fabric.AI's current EV-to-FCF is -2.08. However, context matters — high-growth companies often justify higher valuations. Always evaluate alongside other metrics like GF Score™ and GF Value™.
Is Fabric.AI stock overvalued right now?
Based on GuruFocus' analysis, Fabric.AI (FABC) is currently considered Significantly Overvalued. The stock's GF Value™ is $0.15, compared to a current price of $3.08 — trading 1953.3% above its estimated fair value. The current EV-to-FCF is -2.08. Fabric.AI's overall GF Score™ is 34/100 with 2 warning signs to review. Investors should evaluate multiple metrics — including profitability, growth, and financial strength — before making a decision.
How is EV-to-FCF calculated?
EV-to-FCF is calculated from a company's financial statements. For Fabric.AI (FABC), the current EV-to-FCF is -2.08 as of Jun. 24, 2026. GuruFocus calculates this using data sourced from SEC filings and annual reports. See the calculation section and 30-year financial data on this page for the full breakdown.
Is Fabric.AI (FABC) Overvalued in 2026?
Based on GuruFocus' analysis, Fabric.AI stock appears to be overvalued.
The current stock price of $3.08 is trading 1953.3% above its estimated GF Value™ of $0.15.
GuruFocus considers Fabric.AI to be Significantly Overvalued.
Key valuation signals for FABC:
EV-to-FCF: -2.08
GF Value™: $0.15 vs. price of $3.08 (1953.3% above fair value)
No single metric tells the full story. See the FABC stock analysis page for a complete view including 30-year financials, guru trades, and insider activity.
Fabric.AI Inc is an infrastructure company building a suite of fabless semiconductor technologies to power AI factories - smart data centers optimized for producing intelligence at scale. The company's innovations include MicroLED-based optical interconnects and other system-critical technologies that enable faster, more efficient, and more scalable AI workloads. Its mission is to transform data centers into unified production systems for artificial intelligence.
34GF Score
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