AI Financial Corporation (AIFC) Fair Value & Analysis
Technology · US · Market cap $98.9M
AI Financial Corporation
AIFC · US
Fair value as of: Jul 24, 2026
From 1 valuation models · updated 17 days ago
Share price −20.0% over the past month.
Below-average quality, screening 36% undervalued on our models.
What matters now
- The large discount to fair value meets weak quality (8/100). 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 ($0.4466 to $0.8931) 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 Jul 24, 2026.
How to read this chart
60‑month range $0.3000 – $10.26 · fair‑value band $0.4466 – $0.8931 · the $0.4382 price screens below the $0.5950 fair value. Dashed = 300-day average. As of Jul 24, 2026.
Analysis
AI Financial Corporation (AIFC) currently trades at $0.4382, while our model-based Fair Value estimate is $0.5950, implying the stock looks roughly 35.8% undervalued today. The Quality Score stands at 8/100 (below-average quality), in the Technology 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.
Trailing-twelve-month revenue stands at $24.7M. Revenue declined 2.8% year over year. Net debt stands at $9.0M. Fundamentals as of Jul 24, 2026
Our scenario range runs from $0.4466 (bear case) to $0.8931 (bull case); at $0.4382, the current price sits below 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. For context, the median of 10 Technology peers we cover trades at -50% fair-value upside, at 36%, AIFC 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 1 models by family
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Key figures & financial health
More key figures
Figures from reported company fundamentals · as of Jul 24, 2026. TTM = trailing twelve months.
Quality Score breakdown
Of which business quality 14 · Market factors (momentum, volatility) 1
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
AI Financial Corporation, together with its subsidiaries, provides blockchain-powered technologies for tokenization, trading, clearing, settlement, payment, and custodianship of digital assets worldwide.
Full company description
AI Financial Corporation, together with its subsidiaries, provides blockchain-powered technologies for tokenization, trading, clearing, settlement, payment, and custodianship of digital assets worldwide. The company offers ALT5 Prime, an electronic over-the-counter trading platform for buying and selling digital assets; ALT 5 Pay, a cryptocurrency payment gateway that enables merchants to accept and make cryptocurrency payments or integrate the payment platform into their applications; StrataCarte, a payment solution that provides multi-currency and fiat payment card services; and agentic commerce services. It serves business-to-business (B2B) customers; and banks, broker-dealers, funds, family offices, proprietary trading firms, liquidity providers, financial information providers, payment processing partners, and merchants. The company was formerly known as ALT5 Sigma Corporation and changed its name to AI Financial Corporation in April 2026. AI Financial Corporation was founded in 1976 and is based in Las Vegas, Nevada.
Company description, as reported by the company or data provider.
Revenue & earnings trend
FY2022 – FY2025 · reported fiscal years
AI Financial Corporation reported revenue of $24.8M in FY2025 versus $0 in FY2022. Reported net income was −$345M in FY2025.
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Peer Group
Software - Infrastructure · 370 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 Software - Infrastructure 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 Software - Infrastructure stocks, each showing price versus our Fair Value estimate (as of Jul 24, 2026).
| Stock | Price | Fair Value | vs Fair Value |
|---|---|---|---|
| Microsoft Corporation MSFT | $384.00 | $274.17 | -29% |
| Oracle Corporation ORAC | C$9.08 | C$2.94 | -68% |
| Fortinet, Inc FTNT | $160.78 | $44.96 | -72% |
| Synopsys, Inc 1SNPS | €354.50 | €93.61 | -74% |
| Block, Inc XYZ | A$114.53 | A$70.69 | -38% |
| CoreWeave, Inc CRWV | $79.94 | $44.89 | -44% |
| Range Intelligent Computing Technology Group 300442 | ¥71.60 | ¥34.00 | -53% |
| Oracle Financial Services Software Limited OFSS | ₹11,651 | ₹5,821 | -50% |
| 360 Security Technology Inc 601360 | ¥9.64 | ¥5.05 | -48% |
| One97 Communications Limited PAYTM | ₹1,342 | ₹181.50 | -86% |
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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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