Is Silvia, Inc. (BRR) 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? — Risky. Safer than 26% 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 BRR — see the board for how it is measured.
📍 Where to start on this page, and what to look at first
How to read BRR (pre-profit growth)
This company is reinvesting instead of generating profit, so a standard DCF cannot price it. The useful question is whether the growth the market is paying for is achievable — and whether the company can fund itself until then.
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Reverse-DCF — the growth the price demands ↓
It shows exactly how fast the business must grow to justify today's price. Compare that to what comparable companies have actually achieved.
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Cash runway ↓
Can it reach profitability before it has to raise money and dilute shareholders?
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Interactive calculator ↓
Set your own growth + margin assumptions and see what the business would be worth if you are right.
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:
📑 Read the real filings: latest SEC 8-K ↗
Identity, share count and tier from FINRA + OTC Markets; not a substitute for the home-market financial statements. Thin U.S. disclosure + OTC trading is itself a risk factor.
Who owns BRR, 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.
55 institutions reported holding it at the latest quarter-end.
Riskier than 74% of the stocks we cover
What this rating means, and what it does not
What this rank is — Risky. Riskier than 74% of the companies we cover. Out of every 100 companies ranked here, about 0.2% 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% |
| Finance (sector average) | 0.13% | 1.25% | 3.09% |
| riskiest 1% | 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) ← this stock | 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 2026-05-15), which can be a quarterly report newer than the yearly figures used elsewhere on this page; scores last updated 2026-09-18. Within Finance: rank 88 of 100. Rough one-year odds for this stock alone: bankruptcy 0.3%, an 80% fall 1.0% (the model overstates the middle of the range).
▾ 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) | 6.4% acquired within a year |
| next 25% (50-75) ← this stock | 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 does BRR stack up against its closest peers?
We take the 8 same- or closely-related-industry companies closest in size to BRR and check what investors are paying for each dollar of their revenue (or profits). If BRR is much more expensive on the same yardstick, that's a red flag — unless you have a specific reason it deserves a premium. For a leveraged business, EV/EBIT and FCF yield (both in the table) are usually more reliable than EV/Sales, because revenue multiples ignore differences in margins and debt.
▾ What's "EV / Sales" in plain English?
EV (Enterprise Value) = market cap + total debt − cash. It's "what you'd pay to buy the entire company outright" — you pay the market cap to shareholders and take over their debt, but you keep their cash. EV is fairer than market cap alone because it includes the debt the new owner inherits.
EV / Sales = EV ÷ annual revenue. So "2.5×" means investors pay $2.50 of enterprise value per $1 of yearly sales. Higher = market is paying more per dollar of sales (usually because they expect future growth or fat margins).
p25 / median / p75 are the 25th, 50th (middle), and 75th percentile of the peers' multiples. Half the peers fall between p25 and p75. The median (p50) is the typical peer — that's the benchmark we compare to.
| EV / SalesEV / Sales — For every $1 of yearly revenue, this is how many dollars investors pay to own the whole business (including debt). Why it matters: Works for pre-profit growth companies where P/E and FCF don't apply. The most apples-to-apples cross-company multiple because it ignores accounting choices. Reference: 1–3x for mature companies · 4–10x for software/SaaS · 10–20x for hypergrowth · >20x is rare and demanding Full explanation → |
9.6x / 9.7x / 17.6x |
Bold middle number = median peer. Half the peers trade above it, half below. Computed over 8 same-industry peers; implausible multiples excluded.
⚠️ Important caveat: peer multiples only work if the peers are genuinely comparable. Always check the peer list below — if the auto-picker grabbed micro-caps or unrelated businesses, the comparison is noise. A medical-device giant priced against tiny biotech startups won't produce a useful signal.
▾ View peer list (8)
| Ticker | Company | Industry | Mcap | EV/Sales | EV/GP | EV/EBIT | FCF Yield |
|---|---|---|---|---|---|---|---|
| USDE | StableCoinX Inc. | Financial Services | $334M | — | — | — | — |
| HTT | High Templar Tech Ltd | Financial Services | $357M | 99.5x | — | — | 22.8% |
| OPRT | Oportun Financial Corp | Financial Services | $390M | 0.4x | — | — | 8.1% |
| SLNH | Soluna Holdings, Inc | Financial Services | $268M | 9.6x | 159.1x | — | 1.8% |
| SNFCA | SECURITY NATIONAL FINANCIAL CORP | Financial Services | $247M | 0.7x | — | — | 17.2% |
| MFIN | MEDALLION FINANCIAL CORP | Financial Services | $232M | — | — | — | 46.8% |
| HKD | AMTD Digital Inc. | Financial Services | $225M | 9.7x | — | 432.6x | 6.4% |
| TONX | TON Strategy Co | Financial Services | $225M | 17.6x | — | — | 0.1% |
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 — 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 Silvia, Inc. because 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 →, suggesting the company is in a cash-burning growth stage. Valuing it would require projecting a clear path to sustained positive free cash flow, which is not currently evident. Investors are likely betting on future revenue growth and the potential for new product development. The biggest risk to our assumptions is that the model implies no positive equity value under current assumptions, indicating the business fundamentals may not support a positive valuation.
As of 5 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 →, while effectively managing its cash burn.
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 → continues to deteriorate, leading to further cash burn and requiring additional dilutive equity raises, especially given its 0/5 franchise/durability score.
- Quarterly revenue growth rates
- Trends in operating cash flow
- Announcements of new product launches or market expansions
Management & Leadership
Anthony John Pompliano III serves as the Chief Executive Officer, with Renae Terese Cormier as the Chief Financial Officer. Megan Lesko Pacchia is the Chief Operating Officer, and Kyle Irvin Wood is the Chief Legal Officer.
Chief Executive Officer
Chief Financial Officer
What They Make
Silvia, Inc. operates in the financial services sector, providing various financial products and services. The company's paying customers are individuals and institutions seeking financial solutions.
End Markets
Revenue Drivers
Why Is It Priced Like This?
Why Customers Pay
What we use instead: book value (P/B) — computed from the figures this company does report, shown in the sections below. Those numbers are unaffected by the missing cash-flow data.
The market is pricing Silvia, Inc. based on expectations of future growth in its financial services offerings, rather than current cash flow, which is negative. The market may be assigning value to the potential for disruptive innovation in financial technology or the expansion into new digital asset markets, which is not in the model. The company's low franchise/durability score of 0/5 suggests a lack of established competitive advantages, making future growth prospects a key driver for its current valuation.
Business Model & Valuation
How They Make Money
The company funds itself primarily through equity raises, as indicated by its 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 →, with no current dividend or buyback programs mentioned.
Growth / Revenue DCF
No cash flow statement data available - using revenue/margin growth model as fallback.
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 net interest income and fee-income lines 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)67.3NeutralMomentum is balanced — neither overbought nor oversold.
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 7% 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 Silvia, Inc.'s SEC filings (EDGAR).
Balance Sheet
| Total Assets | 638.9M |
| Total Liabilities | 218.7M |
| Equity | 420.2M |
Similar companies worth a look
Same sector and industry, similar fundamentals shape. Verify everything yourself — this list is computed mechanically and does not reflect our judgment about whether any of these are a good investment.
The questions people ask about BRR
Is Silvia, Inc. (BRR) a good stock to buy?
We do not publish a single fair value for Silvia, Inc., 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 Silvia, Inc. (BRR) overvalued?
A single fair-value number is not reliable for Silvia, Inc., 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 Silvia, Inc.'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.