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Research & analysis · Financial statement analysis

AI financial statement analysis using AI to analyze financial statements and balance sheets

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Thesis, bull and bear case, key metrics, comparables and risk flags, synthesized into one structured tear-sheet.

Thesis

Bull case

Bear case

This name is not publicly listed, so there is no market data to show. The card covers the thesis, both sides of the argument and the risk flags.

Key metrics

Comparables

Risk flags

Market data from public sources. Informational only, not financial advice. Qualitative card, no public market data for this name. Informational only, not financial advice.

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Equity analyst lit by a monitor in a dark office at night

The three financial statements tell you almost everything about a company's health, but only if you can read them together. The income statement shows profitability, the balance sheet shows what the company owns and owes, and the cash flow statement shows whether the profit is real. Tying them into a single picture is a skill that takes years, and even then it is slow work on every new name.

Using AI to analyze financial statements changes the economics of that work. The mechanical part, pulling the line items, computing the ratios, trending them across periods and lining them up against peers, is exactly what a model does well and quickly. What it does not do is decide what the result means for your mandate, and no page should pretend otherwise.

Investables.ai gives you the first read before the statements. Enter a ticker and the card sets out the thesis, the bull and bear case, the comparables and the risk flags, and on Pro and Team links the latest 10-K and 10-Q on SEC EDGAR, where the three statements are. It does not parse the statements or compute ratios, so the ratio work stays yours, now aimed at the questions the card raises. It is informational research to support your own diligence, not investment advice.

STOCKS ETFS CRYPTO STARTUPS

Both sides bull and bear

Risk flags on every card

The short answer

Can AI analyze financial statements?

Yes, a general purpose AI model can read statements you give it and compute ratios, but check every figure against the filing, because models misread tables. Investables.ai does not compute ratios. It gives the plain-language first read, the bull and bear case and the risk flags for any ticker, and on Pro and Team links the latest 10-K and 10-Q. What AI cannot do is judge whether a result is disqualifying for your strategy, or detect a misstatement the filing does not disclose. It is research, not advice.

Why it works

What the three statements reveal

All three, read together

Profitability, financial position and cash generation only make sense as a set, so read the income statement, balance sheet and cash flow as one connected picture, with the card telling you what to check.

From ratios to meaning

The bull and bear case tell you which ratios the thesis depends on, so a margin or a leverage figure becomes a clear statement about whether the business is sound.

Is the profit real?

Tracing earnings into cash flow shows when reported profit is not backed by cash, one of the most useful checks a statement read can give you, and one to run with the 10-K open.

What you get

The numbers read for you, in plain language

The plain-language read of the business, the bull and bear case and the accounting risks worth a second look, with the latest 10-K and 10-Q linked on Pro and Team, so you open the statements knowing what to check.

  • Plain-language first read before the statements
  • The ratios to compute, laid out in the table
  • Risk flags on accounting and cash conversion
  • Comparable companies to benchmark against
  • Latest 10-K and 10-Q linked on Pro and Team
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NVDA NVIDIA Corp.

Thesis

Dominant AI accelerator supplier. The debate is the durability of data-center demand versus a cyclical capex peak.

Bull

CUDA moat, near-monopoly share

Bear

Customer concentration, cycle risk

1D · 1Y · 52W 10-K · 10-Q 3 risk flags

Side by side

The three financial statements, and what AI reads in each

Health shows up only when you read the statements together. This is what to take from each.

Statement What it shows What to take from it
Income statement Revenue, costs and profitability Growth, margins and how they have trended
Balance sheet What the company owns and owes Liquidity, leverage and balance-sheet strength
Cash flow statement Whether the profit turns into cash Operating cash flow and free cash flow quality
Across all three How the pieces fit together Returns on capital and the overall health read
Versus peers Whether the numbers are good Each metric benchmarked against comparables

Investables.ai is informational research, not personalized investment advice. Take the figures from the primary filings.

Why Investables.ai

Statements explained, then argued both ways

A ratio on its own settles nothing. The card gives you what the bull and the bear each argue, and flags the accounting risks worth a second look before you rely on a number.

Both sides, every time

The bull case and the bear case sit side by side, so you weigh the argument instead of reading a single take. Informational only, never a recommendation.

Risks on the page

Valuation, concentration and regulatory risks are flagged explicitly, so the downside is visible up front rather than buried in a footnote.

Faster diligence

A structured first pass in seconds means you spend your time on judgement, not on gathering, across stocks, ETFs, crypto and startups.

Good questions

Questions about financial statement analysis

Financial statement analysis is the practice of reading a company's income statement, balance sheet and cash flow statement together to judge its profitability, financial position and cash generation. It usually means computing ratios and comparing them over time and against peers. Investables.ai gives you the first read and the risk flags before you start, and on Pro and Team links the filings.
Start with the income statement for growth and margins, the balance sheet for liquidity and leverage, and the cash flow statement to confirm the profit turns into cash. Then compute returns on capital and compare everything to peers. Investables.ai does not run the sequence for you; it gives you the questions to answer and, on Pro and Team, the filings to answer them from.
AI is reliable at pulling and computing the figures a balance sheet discloses, such as debt, liquidity and leverage ratios, and at trending them over time. It cannot judge intent or catch fraud, so treat the read as a fast, structured starting point and verify anything material against the primary filing.
It runs the same sequence a trained analyst does, just faster. The model parses the filing to locate each line item, normalizes them so periods and companies are comparable, computes the standard profitability, liquidity, leverage and cash-conversion ratios, trends each one across several years, and benchmarks them against comparable companies. The last step, and the one that matters, is turning that arithmetic into plain sentences about what is strong, what is stretched and what deserves a closer look in the notes.
That depends on the input. If you are analyzing a public company, the useful tools work from filed statements and produce ratios with peer context, and Investables.ai is the written first read you start from. If you are analyzing private financials, a PDF or a spreadsheet from a client, you need a document-extraction tool instead, because a public-markets tool has nothing to look up. Buyers waste a lot of time comparing the two categories against each other.
It can, with two real limits. Paste a statement into a general assistant and it will compute ratios and explain them competently. What it will not reliably do is fetch the current filed figures for a ticker on its own, or benchmark them against the right peer set, and it will occasionally produce a plausible number that is not in the document. A purpose-built tool differs mainly in that the figures come from the filing rather than from the model, and the peer comparison is drawn from actual comparables.
Six carry most of the signal: revenue growth and gross margin from the income statement, current ratio and net debt to EBITDA from the balance sheet, free cash flow conversion from the cash flow statement, and return on invested capital across all three. The last one is the closest single measure of whether a business creates value, and it is the one most retail analysis skips. Every one of them only means something against the same company last year and against its peers.
It can flag the patterns that often accompany it and it cannot conclude that fraud occurred. Widening gaps between reported net income and operating cash flow, receivables growing much faster than revenue, repeated changes to accounting policy and unusual one-off items are all detectable and all worth a hard look. They are also all present in plenty of honest companies. Treat a flag as a question to research in the notes and the filings, never as a finding.
No. Investables.ai is informational research only, not personalized investment advice and not a broker-dealer service. It explains the business and both sides so you can form your own judgment through your own diligence.
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