Is Btai (BTAI) a good stock to buy?
Two or more of our tested checks point the wrong way. When the survival check is one of them, no price makes that acceptable.
What each rating means, in numbers
Can it survive? — Very risky. Safer than 1% of the companies we cover, judged on the warning signs that came before companies that really did fail.
How wild is the price? — Very wild. The share price swings about 90% in a typical year, which puts it in the most volatile fifth. Out of every 100 companies that swung like this, about 8.6 went bankrupt within the year. Across the three periods we tested that ran from 3.7% to 11.5%.
What "tested" means here, and why there is no score out of 100
Tested means the read was measured against what actually happened afterwards, on a history that keeps the companies that were later delisted, using only figures that had been filed on the day they are used. Survival was ranked on companies that really did fail. What an owner keeps was tested across the universe from 2011 to 2025.
The full record of everything we have tested is on the research pages.
Which benchmark. Over the period we tested, the median listed company returned +5.8% a year while the S&P 500 returned about +13.9% — the index is weighted by size and was carried by a handful of enormous winners. So "beats the index" and "beats the other companies you could have bought" are different questions. Where a read says it picks better companies, it means the second one. None of these gets you an index fund's return, and we would rather say that than imply otherwise.
The quality read is the strongest thing we have tested: 131,000 company-quarters across 5,300 companies, where the weakest scorers went on to fail at 5.4% against 1.4% for the strongest, holding in every era and all twelve sectors. It still says less likely to break, not likely to beat the market — every band in that study lost to the index at the median, because the median listed company does.
Each read is shown on its own rather than merged into a single score, so you can see which part is strong and which is weak instead of taking an average on trust.
▾ What goes into the smart-money reading
Contributions (weight × component score) sum to the total. This near-term score now includes fundamental health (leverage, FCF trend). See the Financial Health section for the full balance-sheet read.
Chance the S&P 500 falls 10% or more in the next three months.
Counted from every day since 2006. Says nothing about BTAI — see the board for how it is measured.
📍 Where to start on this page, and what to look at first
How to read BTAI (speculative micro-cap)
No model can pin a precise fair value on a company this small — but that does not mean there is nothing to learn. The useful questions are what the price is betting on, and whether the company can survive long enough to deliver it.
-
1
Reverse-DCF — what growth the price assumes ↓
The single most useful number here: it backs out the growth the market is paying for. If that figure is "historically unprecedented," the price is running on hype, not fundamentals.
-
2
Cash runway ↓
A pre-profit micro-cap lives or dies on whether it can fund itself to profitability before running out of money and diluting you.
-
3
The raw financial statements + the 10-K ↓
At this scale, the actual numbers, insider ownership, and share-count trend tell you more than any ratio.
It files little or nothing with the SEC — so our cash-flow models, financial statements, and U.S. insider data (Form 4) don't apply. What's still real: the live U.S. price and short positioning. Here's what we could pull from other sources:
What to do: look up BTAI on its home exchange and read its local filings before acting. Thin disclosure + OTC trading is itself a risk factor.
Who owns BTAI, and how it moves
From the SEC's own filings: every fund manager over $100M reports its holdings each quarter, and every officer and director reports theirs. Each point is what was public at the time.
46 institutions reported holding it at the latest quarter-end.
Riskier than 99% of the stocks we cover
What this rating means, and what it does not
What this rank is — Very risky. Riskier than 99% of the companies we cover. Out of every 100 companies ranked here, about 16.4% went bankrupt within the year, against 0.6% for the average company we cover. The rank comes from a model trained on every US filing since 2012, including 823 companies that really did fail, and scored each year by a version that had not seen that year.
What it is not — Not a trade. We tested shorting these names and buying puts, spreads, straddles and condors on them at real option prices, 2010-2025. Every version lost money: the market already prices the distress and the survivors squeeze. A high rank is a reason to read the filings and to size for a total loss, not a reason to bet against the company. A low rank says the balance sheet is calm, not that the price is sensible.
▾ The numbers, the logic, and why not to trade on it
The logic. A model trained on every US filing since 2012 — including 823 companies that went bankrupt or stopped trading under a dollar — ranks each covered stock by its chance of failing in the next year, from its latest filing, price history and credit conditions. The rank is a position among peers; the table is a count of what happened to stocks in each position, scored each year by a model that had not seen that year.
| Rank band | went bankrupt within 12 months | fell 80% or more (or failed) within 12 months | fell 50% or more (or failed) within 6 months |
|---|---|---|---|
| All covered stocks (average) | 0.59% | 4.21% | 8.51% |
| Healthcare (sector average) | 0.94% | 9.47% | 17.69% |
| riskiest 1% ← this stock | 16.4% | 33.0% | 45.5% |
| next 2% (97-99) | 5.9% | 24.9% | 38.2% |
| next 2% (95-97) | 3.4% | 21.2% | 33.8% |
| next 5% (90-95) | 1.6% | 15.1% | 27.3% |
| next 15% (75-90) | 0.8% | 8.5% | 17.8% |
| next 25% (50-75) | 0.2% | 2.7% | 6.2% |
| safest half | <0.1% | 0.5% | 2.1% |
Why not to trade on it. We tested shorting these names and buying puts, spreads, straddles and condors on them at real option prices, 2010–2025: every version lost money. The market already prices the distress, and the survivors squeeze. Use a high rank to read the filings and to size for a total loss — not to bet against the company. A low rank says the balance sheet is calm, not that the price is sensible.
Scored from the most recent SEC filing we had (dated 2026-05-18), which can be a quarterly report newer than the yearly figures used elsewhere on this page; scores last updated 2026-09-18. Within Healthcare: rank 100 of 100. Rough one-year odds for this stock alone: bankruptcy 22.0%, an 80% fall 36.8% (the model overstates the middle of the range). On the same data, the Altman Z score caught 26% of bankruptcies in its riskiest 5%; this rank caught 59%.
▾ The logic, and why not to buy on it
The logic. Trained on 2,900 acquisitions since 2012, the model leans on size (small), age, retained earnings, asset growth, volatility and how many deals the sector has just seen. Announcement = the day the stock jumped, not the day the paperwork was filed.
| top 1% | 15.4% acquired within a year |
| next 2% (97-99) | 10.3% acquired within a year |
| next 2% (95-97) | 9.0% acquired within a year |
| next 5% (90-95) | 7.3% acquired within a year |
| next 15% (75-90) ← this stock | 6.4% acquired within a year |
| next 25% (50-75) | 4.8% acquired within a year |
| bottom half | 3.0% acquired within a year |
Why not to buy on it. A takeover paid a median +22% on the day — but even in the top band about 6 in 7 companies are not bought, and those lag. Buying the whole top list returned what the S&P 500 did (2012–2023), and adding "cheap" or "beaten-down" filters did not change that. Read it as context for a thesis you already have, never as the thesis.
How to read a company this small
BTAI is too small and/or too volatile for the valuation lenses we use on larger, more stable companies. The numbers shown below should be taken as rough orientation only.
- Market cap $1.5M — nano-cap territory (below $50M)
Growth percentages on tiny revenue bases (1000% going from $200K to $2M is not predictive). P/E and ROE swing wildly with small earnings changes. Peer comparisons fail because there often aren't comparable companies at this scale.
Start with the Reverse-DCF above — it backs out the growth the price is betting on; if that figure is "historically unprecedented," the price is running on hype, not fundamentals. Then the cash runway (can it fund itself to profitability before diluting you?). Then the raw Financials table and the 10-K on SEC EDGAR — at this scale, insider ownership and the share-count trend often matter more than any ratio.
Classified as Speculative Nano / Micro-cap (confidence 80%). Disagree? An admin can override via the post edit screen.
Quality & solvency checks
Cheap stocks can be cheap for a reason. These screens warn when a low valuation comes paired with structural fragility.
Why it matters: Cheap-looking stocks (low P/E or P/B) often have low Z-scores because the market knows the company is dying. Z-score warns you before you fall into a value trap.
Reference: > 3.0 = safe zone · 1.81–3.0 = grey zone · < 1.81 = distress zone
Full explanation →
The Z-score needs working capital, retained earnings, EBIT, sales and total assets from the latest balance sheet, and at least one of those isn't reported in machine-readable form here — common for foreign private issuers. We leave it blank rather than compute a distress verdict from an estimated input. It doesn't affect the reported figures in the financial tables below.
Why it matters: High score = fundamentals improving. Low score = deteriorating. Especially powerful for filtering cheap stocks: cheap + high F-score historically outperforms; cheap + low F-score is often a value trap.
Reference: 7–9 = strong · 4–6 = mediocre · 0–3 = weak
Full explanation →
The F-score compares two consecutive years of income, cash-flow and balance-sheet data. We have 0 years of income data for this filer, but no machine-readable cash-flow statement or balance sheet — so several of the nine checks have no input at all. We show nothing rather than score a partial year against itself. The reported figures in the financial tables below are unaffected.
A standard discounted cash flowDCF — Discounted Cash Flow — sums up all future cash a business will produce, adjusted for the fact that future dollars are worth less than dollars today.
Why it matters: It is the most fundamentally honest valuation method when applicable — but only works for companies with predictable, positive cash flow.
Reference: Best for: mature, profitable businesses. Fails for: pre-profit growth, banks, REITs.
Full explanation → (DCF) valuation is not meaningful for BTAI because the model projects future cash flows from revenue trajectory, indicating negative free cash flowFree Cash Flow (FCF) — Operating cash flow minus capital spending: cash left after a company covers operating costs, taxes and interest and reinvests in the business — but BEFORE repaying debt principal or paying dividends. The cash actually available to investors.
Why it matters: A company can show big profits on paper while burning through cash. FCF is what actually fills the bank account.
Reference: Healthy mature businesses convert 8–15% of revenue into FCF · Growth companies often negative
Full explanation → and a cash-burning growth stage. Valuing this company would require a clear path to profitability and positive free cash flow, which is not evident. Investors are likely betting on future revenue growth and potential product development, which are not yet generating consistent cash flows. The biggest risk is that the model implies no positive equity value under its assumptions, suggesting the company's current operations may not support a positive valuation.
As of 7 days ago
Anatomy of a share
What you're buying per share. Bars are at the same scale so you can see the relative size of revenue, costs, cash flow, and debt — not just read them in a table.
What you actually need to decide
Every stock price is a disagreement. Here's the single thing that must go right for the bulls, the single thing that breaks the thesis, and the concrete signposts to watch so you can update your view as real results arrive.
Why it matters: A company can show big profits on paper while burning through cash. FCF is what actually fills the bank account.
Reference: Healthy mature businesses convert 8–15% of revenue into FCF · Growth companies often negative
Full explanation →, moving beyond the current cash-burning stage.
Why it matters: A company can show big profits on paper while burning through cash. FCF is what actually fills the bank account.
Reference: Healthy mature businesses convert 8–15% of revenue into FCF · Growth companies often negative
Full explanation →, leading to ongoing cash burn and potential dilution through equity raises, as indicated by the 'FCF negative' flag.
- Announcement of a specific product or service with a clear market.
- Reported positive revenue growth from a defined product segment.
- Evidence of a path to positive free cash flow generation.
Management & Leadership
Limited executive data available from current filings. Public sources do not readily provide current executive names for BTAI.
What They Make
Not available from current data sources. The company description is empty, and widely-known public knowledge about its products or services is not readily accessible.
Why Is It Priced Like This?
The income statement and balance sheet are also too incomplete here to substitute another lens honestly, so this page carries price, momentum and disclosure facts only.
The market's pricing for BTAI, with a share price of $0.05 and a market capitalization of $1.5 million, is likely driven by speculative interest in potential future developments rather than current financial performance. The model indicates negative free cash flowFree Cash Flow (FCF) — Operating cash flow minus capital spending: cash left after a company covers operating costs, taxes and interest and reinvests in the business — but BEFORE repaying debt principal or paying dividends. The cash actually available to investors.
Why it matters: A company can show big profits on paper while burning through cash. FCF is what actually fills the bank account.
Reference: Healthy mature businesses convert 8–15% of revenue into FCF · Growth companies often negative
Full explanation → and implies no positive equity value, suggesting investors are focusing on optionality that is not captured by a traditional cash flow model. The market may be assigning value to an unannounced product pipeline or a future strategic pivot, which is not in the model.
Business Model & Valuation
Growth / Revenue DCF
This is the model the pipeline would normally apply to a company like this. Its output failed our checks here, so no intrinsic value is published; the notes below are context, not a valuation.
Show advanced inputs
| Revenue Growth | 15.0% |
What this model does NOT do: this is a consolidated owner-earnings cash-flow model. Standalone segment assumptions: none. It does not project its revenue segments independently; their combined effect is embedded in the historical revenue and cash-flow trend the model extrapolates. The calculator above can only approximate a segment's impact through the single consolidated growth rate — it cannot model any one line separately. For a true segment-level view, build a separate model from the company's segment disclosures.
Maturity & Competitive Position
Geography & Markets
Geographic Risks
Market Signals
These are timing signals, not value signals — they describe the stock's recent price behavior, not what the business is worth. Use them for the "the thesis looks good, but is now the moment?" question. Each tile below explains what it's saying.
Why it matters: Short-term contrarian indicator. Extreme readings often precede mean reversion, though not always.
Reference: 30–70 normal · >70 overbought · <30 oversold
Full explanation → (14)27.5OversoldHeavily sold off recently — sometimes a bounce setup, sometimes a falling knife.
Why it matters: When the fast line crosses above the slow line, short-term momentum is turning up; below, turning down. A timing cue, not a value signal.
Reference: Line above signal = bullish momentum · below = bearish
Full explanation →BullishLine above signalThe fast trend is above the slow trend — short-term momentum is currently upward.
Technicals describe price, not the business. A great company can have a "bearish" tape (a buying chance) and a weak one a "bullish" tape (a trap). Pair these with the valuation and health sections above.
QUALITY
Data Quality & Risk Flags (5 notes — click to expand/collapse)
Guardrail Notes (5)
- FCF negative: revenue/margin growth model projects future cash flows from revenue trajectory.
- INVARIANT: weighted IV is non-positive. Model may not be appropriate.
- Model implies no positive equity value under these assumptions. Valuation is speculative/low-confidence.
- Illiquidity discount 25% applied (small/micro-cap — harder to exit, demand a margin).
- Extreme valuation gap (P/IV withheld — see the note above): result may be dominated by model assumptions, share count issues, or sector-specific dynamics. Treat as low confidence.
FINANCIALS
Financial Statements (5-year tables — click to expand)
From Btai's SEC filings (EDGAR).
The questions people ask about BTAI
Is Btai (BTAI) a good stock to buy?
We do not publish a single fair value for Btai, because one number would not be reliable for this business (the page explains why). Judge it on what today's price assumes, its financial-health checks and what insiders are doing, all shown here from SEC filings. This is educational research from SEC filings, not investment advice.
Is Btai (BTAI) overvalued?
A single fair-value number is not reliable for Btai, so we do not call it overvalued or undervalued. The page shows what growth today's price assumes and how the company's finances look instead. This is educational research from SEC filings, not investment advice.
Where do these numbers come from?
From Btai's own SEC filings (10-K and 10-Q), Form 4 insider filings and daily market prices. Every figure on the page links to how it was calculated, and the model's weak spots are listed next to its results.
