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Databricks
DATABRICKSCan retail traders trade Databricks? Databricks is not listed on any stock exchange, and its private secondary markets are mostly restricted to accredited investors. CoinUnited offers a synthetic CFD reference — price exposure only, not equity (no voting, dividends, or IPO allocation) — tradable by eligible users from US$100, with no accreditation. Access terms vary by jurisdiction and product eligibility.
Company snapshot
Key Facts
The most-cited facts about this company, each with its source — the quick-reference box for readers and AI answer engines.
Primary source: Notice (private-market data)
| Founded | 2013 |
|---|---|
| Headquarters | San FranciscoWikidata |
| Founders | Ali Ghodsi, Matei Zaharia, Reynold Xin, Ion Stoica, Patrick Wendell, Andy Konwinfinancial press |
| CEO | Ali GhodsiWikidata |
| Industry | Infrastructure Software |
| Employees | 16,133 |
| Latest reported valuation | $179B (as of 2026-08-06) |
| Last funding round | $134B (Series L) |
| Listing status | Not publicly listed; no formal IPO filing confirmedCoinUnited (as of generation) |
| CoinUnited product | Synthetic CFD reference — not equity (no voting, dividend, or IPO allocation); tradable from US$100, 24/7CoinUnited product terms |
Cross-Venue Reference Price
CoinUnited’s reference price shown side by side with named private secondary-market venues — one glance shows where CoinUnited sits and the spread across venues.
Each venue uses a different pricing methodology (last-trade, model-derived estimate, synthetic CFD reference), so figures are indicative and not directly comparable. The dispersion between venues is itself information — more honest than a single price.
CoinUnited’s pre-IPO reference price blends several observable inputs — recent private-secondary transaction marks, the latest primary funding-round valuation, and public-market comparables — weighted toward the most recent and most corroborated data. Because pre-IPO shares change hands infrequently and off-exchange, no single “true” price exists: the quoted spread reflects this genuine uncertainty rather than a fixed markup, widening when venue dispersion or data staleness rises and tightening as fresh, corroborated marks arrive. This keeps the reference honest to how thinly the underlying actually trades.
Machine-readable table — same numbers, per-venue source
| Venue | Reference | As of | Source |
|---|---|---|---|
| CoinUnited (Synthetic CFD reference) | $257.97 | 2026-10-03 | coinunited.io |
| Hiive | $294.10 | 2026-10-03 | hiive.com |
| Nasdaq Private Market | $265.08 | 2026-10-03 | nasdaqprivatemarket.com |
| Notice | $257.79 | 2026-10-03 | notice.co |
Indicative reference prices, not executable quotes. The CoinUnited figure is a synthetic CFD reference (not equity; no voting, dividend, or IPO allocation). CoinUnited does not provide price targets or guarantee returns.
Valuation & financials
Valuation Trajectory
Reported private-market valuations over time — third-party transactions and estimates, with a source for each point.
Reported private-market valuations; third-party estimates, not CoinUnited claims — private companies have no audited public financials.
| Date | Reported valuation | Source |
|---|---|---|
| 2024 | $62B | TechCrunch, Crunchbase |
| 2025 | $62B–$134B | Reuters, Bloomberg, The Wall Street Journal |
| 2026 | $190B | Notice |
Key Financials
Third-party estimatesA private company has no audited public financials — every figure below is a third-party estimate, shown with its reporting source and period.
Figures are third-party estimates for a private company (no audited financials); each carries its reporting source. Not CoinUnited claims, not investment advice.
Machine-readable table — same figures, per-metric source
| Metric | Estimate | Source |
|---|---|---|
| Annual revenue (FY ended Jan) | $1B | The Wall Street Journal |
| Annual revenue (FY ended Jan) | $1.6B | CNBC |
| Revenue run-rate / annualized (Annualized r) | $1.5B | TechCrunch |
| Annualized revenue (Annualized r) | $2.4B | CNBC |
| Revenue run‑rate (Revenue run‑) | $5.4B | CNBC |
| Annualized revenue (Annualized r) | $6.9B | CNBC |
| Projected revenue run‑rate (Projected re) | $3B | Reuters |
| Profitability / cash flow status (Latest indic) | $5.4B | CNBC |
Pre-IPO Peer Valuations
How this company's current valuation compares to nearby pre-IPO names we cover — structured private-market marks, not a public EV/Sales multiple.
Machine-readable table — same peers, valuation + source
| Company | Valuation | Source |
|---|---|---|
| Anthropic | $1.45T | Notice |
| OpenAI | $978B | Notice |
| Bytedance (TikTok) | $503B | Notice |
| Databricks | $184B | Notice |
| Stripe | $173B | Notice |
| Waymo | $111B | Notice |
| Anduril | $108B | Notice |
Notice.co secondary-market marks, as of {d}. Private valuations move with each trade.
Shareholders & Ownership Background
Major institutional investors named in public reporting — not a verified cap table.
Machine-readable table — same investors, per-name reporting source
| Investor | Source |
|---|---|
| Insight Partners | TechCrunch |
| Fidelity | TechCrunch |
| Andreessen Horowitz | Bloomberg |
| MGX | Bloomberg |
| Thrive Capital | Bloomberg |
| WCM Investment Management | Bloomberg |
Investors named in public reporting — NOT a verified cap table; holdings and changes are per official filings.
How you trade it
Access & Tradability Comparison
The same company across different venues — access terms and eligibility. A direct answer to the highest-intent question: how can a retail investor actually get exposure?
| Terms | CoinUnited | Nasdaq Private Market | Hiive | Forge / EquityZen |
|---|---|---|---|---|
| Product type | Synthetic CFD | Private secondary equity | Private secondary equity | Private secondary equity |
| Is it equity? | No (price exposure) | Yes | Yes | Yes |
| Accredited investor required | No* | Yes | Yes | Yes |
| Minimum ticket | Low* | High | High | High |
| Shareholder rights | None (no voting / dividend / IPO allocation) | Yes | Yes | Yes |
*Access and minimum vary by jurisdiction and product eligibility.
How the DATABRICKS CFD works
Before you trade, understand exactly what you get, what you don't, and where the risk sits.
Price exposure to the DATABRICKS reference (a synthetic CFD) that tracks the CoinUnited reference up and down.
It is not equity: no shares, no voting rights, no dividends, no IPO allocation.
The CoinUnited reference may carry a spread or premium versus secondary-market prices; the two need not move in lockstep.
Price & Market Structure
Trading Regime Status
Scenario Explorer
Illustrative — not a predictionDrag a hypothetical reported valuation to see the implied reference price at the same ratio the current reference sits at today. An illustrative what-if — not a forecast, price target, or guarantee.
Illustrative calculation only (implied reference = current reference × hypothetical valuation ÷ latest reported valuation). It is not a prediction, price target, or guarantee, and does not imply the price will reach any level. CoinUnited does not provide price targets.
Catalysts & news
Catalyst Timeline
Dated third-party developments that move the private valuation — newest first, each classified bullish or bearish and linked to its source.
- 2026-08-13Databricks wraps $5 billion funding round at $190 billion valuation ... - Databricks on Thursday wrapped a $5 billion funding round at a $190 billion valuation.▲ Bullish
- 2026-08-13Databricks CEO and co-founder Ali Ghodsi joins CNBC’s Jon Fortt to discuss the latest funding round, which values the company at $190 billion, what it means for a potential IPO and more.▲ Bullish
- 2026-07-17Databricks on Thursday announced a new round of funding that values the company at $188 billion. ...▲ Bullish
- 2026-02-09# Databricks completes $5 billion funding round at $134 billion valuation ... - Databricks said it raised $5 billion in funding and $2 billion in new debt capacity at a $134 billion valuation.▲ Bullish
- 2026-02-09Databricks has successfully secured $7 billion through equity and debt financing, achieving a valuation of $134 billion.▲ Bullish
- 2026-01-23- Investors valued the data analytics software maker at $134 billion in a funding round announced in December. ...▲ Bullish
Machine-readable table — same developments, with source
Recent third-party developments classified bullish / bearish for the private valuation; verbatim, sourced.
| Date | Development | Direction | Source |
|---|---|---|---|
| 2026-08-13 | Databricks wraps $5 billion funding round at $190 billion valuation ... - Databricks on Thursday wrapped a $5 billion funding round at a $190 billion valuation. | ▲ Bullish | CNBC |
| 2026-08-13 | Databricks CEO and co-founder Ali Ghodsi joins CNBC’s Jon Fortt to discuss the latest funding round, which values the company at $190 billion, what it means for a potential IPO and more. | ▲ Bullish | CNBC |
| 2026-07-17 | Databricks on Thursday announced a new round of funding that values the company at $188 billion. ... | ▲ Bullish | TechCrunch |
| 2026-02-09 | # Databricks completes $5 billion funding round at $134 billion valuation ... - Databricks said it raised $5 billion in funding and $2 billion in new debt capacity at a $134 billion valuation. | ▲ Bullish | CNBC |
| 2026-02-09 | Databricks has successfully secured $7 billion through equity and debt financing, achieving a valuation of $134 billion. | ▲ Bullish | CNBC |
| 2026-01-23 | - Investors valued the data analytics software maker at $134 billion in a funding round announced in December. ... | ▲ Bullish | CNBC |
Understand the risks
Trading Risks
An honest, up-front list of the risks — both out of respect for the trader and as a YMYL compliance requirement.
High leverage means a small adverse move can trigger forced liquidation and loss of your full margin.
The reference price can diverge from any single secondary-market execution price.
Pre-IPO secondary markets are thin and price slowly; the reference updates on a limited cadence.
The company faces cross-border regulatory and geopolitical uncertainty.
Private valuations lack audited public financials; ranges can swing materially.
No formal IPO filing; timing and final pricing are highly uncertain.
Deep dive
What Is Databricks? A Retail Trader's Reference
TL;DR
Databricks is a private data-analytics software company that has re-rated sharply across successive funding rounds to a reported $188 billion valuation in July 2026, with retail synthetic price exposure available via a CoinUnited pre-IPO CFD, no accreditation required.
Databricks is a private data-analytics and AI/ML software company. It is not publicly listed on any stock exchange, which historically placed it out of reach for most retail traders. On CoinUnited, traders can obtain synthetic price exposure to Databricks through a pre-IPO CFD instrument starting from US$100, with no accreditation required, trading 24/7.
This instrument is a Contract for Difference, it is NOT equity. It confers no shares, no voting rights, no dividends, and no allocation in any future IPO. It provides price exposure only.
Quick-Access Summary
| Feature | Detail |
|---|---|
| Instrument type | Pre-IPO synthetic CFD |
| Underlying | Databricks private-market reference price |
| Minimum exposure | From US$100 |
| Accreditation required | No |
| Trading hours | 24/7 |
| Equity ownership | None, no shares, votes, or dividends |
| Onboarding | Crypto-native; no bank account or lengthy paperwork required |
Company Profile
Databricks was founded in 2013 by seven co-founders: Ali Ghodsi (CEO), Matei Zaharia, Reynold Xin, Ion Stoica, Andy Konwinski, Patrick Wendell, and Arsalan Tavakoli-Shiraji. The company originated as a commercial vehicle for Apache Spark, a distributed data-processing framework developed through research at UC Berkeley.
That academic foundation gave Databricks an early technical differentiation in what would become a highly competitive enterprise data market.
The company operates at the intersection of cloud data infrastructure and enterprise AI, offering a unified platform for data engineering, machine learning, and analytics.
Reuters and The Wall Street Journal have consistently described it as a provider of data-analytics software, a category that has attracted significant enterprise spending as organisations prioritise AI-readiness and large-scale data processing.
Valuation Trajectory
Databricks' private valuation has risen substantially across successive funding rounds, making it one of the most closely tracked pre-IPO technology companies globally. The progression, as reported by major financial and technology press, illustrates the scale of institutional interest:
| Reported Date | Reported Valuation | Source |
|---|---|---|
| December 2024 | ~$62 billion | TechCrunch / Crunchbase |
| September 2025 | Over $100 billion | Bloomberg, TechCrunch, CNBC |
| December 2025 | $134 billion | Reuters |
| February 2026 | $134 billion | CNBC |
| July 2026 | $188 billion | Reuters, TechCrunch |
The July 2026 round, reported to be led by Coatue Management, placed Databricks' post-money valuation at $188 billion, according to Reuters and TechCrunch. That figure positions it among the most valuable private software companies ever recorded.
Investor Base
Databricks counts a broad roster of financial and strategic backers. Reported investors include Andreessen Horowitz, Microsoft, Amazon Web Services, Coatue Management, Insight Partners, Fidelity Management & Research, MGX, Thrive Capital, Salesforce Ventures, Franklin Templeton, CapitalG, and WCM Investment Management, among others.
The presence of both venture capital and large asset managers reflects the degree to which Databricks has attracted crossover institutional capital, a characteristic common to late-stage private companies approaching potential public-market events.
For broader context on the pre-IPO market environment in which Databricks sits, see the 2026 Pre-IPO Market Outlook.
Last updated: 2026-08-06
Key Insights
- Databricks' private valuation has risen from roughly $62 billion in late 2024 to a reported $188 billion by July 2026, representing one of the fastest valuation trajectories among late-stage private technology companies in recent memory.
- The company's investor base spans marquee financial and strategic names, including Andreessen Horowitz, Microsoft, Amazon Web Services, Coatue Management, Fidelity, MGX, and Thrive Capital, signalling broad institutional conviction in its data-analytics platform.
- As of August 2026, Databricks remains private; the CoinUnited instrument is a synthetic CFD that tracks the private-market reference price and confers no shareholding, voting rights, dividends, or IPO allocation.
- Databricks competes in the enterprise data-lakehouse and AI/ML platform space alongside publicly listed peers, giving traders a reference framework for relative valuation, though private-market pricing reflects thinner liquidity and sentiment-driven re-rating dynamics distinct from public markets.
Why Trade the Databricks Pre-IPO CFD?
The Databricks pre-IPO CFD on CoinUnited is designed to give retail traders synthetic price exposure to a company that, until recently, was accessible only to institutional capital and accredited high-net-worth investors. Understanding what this instrument is, and what it is not, is the starting point for any informed trading decision.
The Access Wedge
Pre-IPO secondary markets have historically operated behind significant barriers.
CoinUnited's Databricks pre-IPO CFD removes those barriers at the product level. Exposure is available from US$100 with no accreditation requirement, and the instrument trades 24/7. Onboarding is crypto-native: accounts are funded and withdrawn in cryptocurrency, with no bank account or conventional brokerage paperwork required.
The result is access to a private-market price signal that was structurally unavailable to retail traders in any prior format.
One clarification is essential: the CFD is a synthetic instrument. It provides price exposure only. It confers no equity ownership, no voting rights, no dividend entitlement, and no allocation in any future IPO, regardless of outcome.
The Valuation Trajectory as Price Catalyst
The core thesis for the synthetic CFD rests on Databricks' private-market valuation trajectory. As documented in the prior section, that trajectory has been steep: from approximately $62 billion in late 2024 to $188 billion by July 2026, across successive rounds drawing participation from both financial sponsors and technology-sector strategic investors.
See the 2026 Pre-IPO Market Outlook for broader context on how private-market valuations have moved across the pre-IPO landscape this year.
The qualitative drivers behind that re-rating, accelerating enterprise demand for AI-native data infrastructure, expanding commercial relationships, and continued strategic investor participation, are the same inputs that determine the reference price this CFD tracks. When those fundamentals shift, private-market reference prices tend to follow, though not continuously.
Key Catalysts to Monitor
Several discrete events can move the private-market reference price materially:
| Catalyst | Potential Effect on Reference Price |
|---|---|
| IPO announcement or S-1 filing | Compresses uncertainty premium; typically bullish signal |
| New enterprise contract disclosures | Signals revenue growth trajectory |
| Further primary funding rounds | Establishes a new valuation benchmark |
| Competitive developments in data-lakehouse space | Can widen or narrow relative valuation multiples |
| Regulatory developments affecting AI/data infrastructure | Adds policy-risk discount or premium |
These signals, alongside primary round announcements, are the principal inputs into private-market reference pricing. Traders tracking this instrument should monitor both channels.
Risk Factors Specific to Pre-IPO Synthetic Exposure
Pre-IPO CFD exposure carries a distinct risk profile that differs from trading publicly listed equities.
IPO delay or cancellation. If Databricks postpones or withdraws a public listing, the event catalyst that often compresses valuation uncertainty is removed. The reference price may stagnate or retrace without a clear re-rating trigger.
Discrete reference-price updates. Private-market liquidity is structurally thinner than public markets. Reference prices update in steps, at primary funding rounds or when secondary-market data accumulates, rather than continuously. Traders cannot rely on intraday price discovery of the kind available in listed equity markets.
Leverage amplification. The instrument carries leverage, which amplifies both gains and losses relative to the margin posted. A position can be partially or fully liquidated before an anticipated catalyst materialises.
No equity rights. The CFD confers no ownership interest, no IPO allocation, and no direct participation in any corporate event. The instrument's value is derived solely from reference-price movements.
Regulatory and policy risk. Heightened scrutiny of AI and data infrastructure companies by regulatory bodies in multiple jurisdictions adds a policy-risk dimension that can affect private-market sentiment independently of operational performance.
These risks do not cancel the access case, they define the parameters within which the instrument should be evaluated.
Trading conditions on CoinUnited
Fee schedule as of 2026-08-19| Product type | CFD | Synthetic price exposure. You do not hold the underlying asset. |
|---|---|---|
| Trading fee | 0.070% | Per side, at the standard tier. Falls with 30-day volume and reaches 0.000% at VIP 9. |
| Trading hours | Market session | Follows the market session and is closed at weekends and on market holidays. |
| Leverage — intraday | 100x | During active trading hours. Requires 0.500% margin at the smallest position size. Availability and the maximum depend on product, jurisdiction and account eligibility; leverage amplifies losses and positions can be liquidated. |
| Leverage — overnight | 10x | For a position held beyond the trading day. Requires 5.000% margin at the smallest position size. |
| Leverage — weekends & holidays | 10x | For a position held through a market closure. Requires 5.000% margin at the smallest position size — check your position size before carrying it into a weekend. |
| Direction | Long or short | Take a position in either direction. A short position profits when the price falls and loses when it rises. |
| Funding | Crypto deposit | Fund and withdraw in crypto. No bank transfer or card is required. |
Trading Databricks on CoinUnited.io — Pre-IPO CFD Mechanics and Strategy
Trading Databricks on CoinUnited.io, Pre-IPO CFD Mechanics and Strategy
Instrument Mechanics: What the CoinUnited Databricks CFD Is and Is Not
The CoinUnited Databricks instrument is a synthetic Contract for Difference (CFD) that provides price exposure to Databricks' private-market reference price. It is not equity.
The CFD settles on the difference between entry and exit reference prices, nothing more. Traders should treat it as a speculative price-exposure instrument, not as a proxy for shareholding.
The reference price underlying the CFD is derived from private-market data points: reported funding rounds, secondary-market transactions, and observable news catalysts. Unlike public-market securities, this price does not update tick-by-tick throughout the day.
It moves in discrete steps when new information arrives, most often at the announcement of a funding event, a secondary-market platform update, or a significant corporate development. That structural characteristic is the defining feature traders must understand before sizing any position.
Leverage Conditions and Access
CoinUnited offers up to 100x leverage on the Databricks pre-IPO CFD. Minimum exposure begins at US$100, and no accreditation is required to trade. The instrument is available 24/7, which differs materially from conventional pre-IPO platforms that transact only at quarterly liquidity windows or scheduled tender events.
The leverage mechanics work as they do for any CFD:
| Scenario | Position Size | Leverage | Reference Price Move | P&L on Margin |
|---|---|---|---|---|
| Example A | US$100 margin | 100x | +1% | +100% (gain US$100) |
| Example B | US$100 margin | 100x | −1% | −100% (full margin loss) |
| Example C | US$500 margin | 50x | +2% | +100% (gain US$500) |
| Example D | US$500 margin | 50x | −2% | −100% (full margin loss) |
These are hypothetical illustrations. The key takeaway: at 100x leverage, a 1% move in the reference price is sufficient to double or eliminate the deployed margin. For a pre-IPO asset capable of gapping several percent on a single announcement, that arithmetic demands deliberate position sizing.
Position Sizing for Pre-IPO Gap Risk
Private-market reference prices do not drift gradually, they gap. When Databricks' valuation moved from approximately $62 billion to over $100 billion, then to $134 billion, and subsequently to $188 billion (as reported by Reuters and TechCrunch across 2025 and 2026), those were discrete step-changes, not gradual curves. Each step corresponded to a funding event or secondary-market update.
For leveraged CFD traders, this gap structure has a direct implication: stop-loss orders placed at a specific level may not fill at that level if the reference price jumps past it. Position sizing should therefore account for the possibility of a move larger than the intended stop, not merely the stop distance itself.
A practical approach is to size the position so that the maximum tolerable loss on a large gap, not just a small adverse move, remains within acceptable capital-at-risk parameters.
For reference, Databricks' valuation history illustrates the magnitude of moves that have historically occurred around major catalysts. Traders reviewing the 2026 Pre-IPO Market Outlook can benchmark Databricks' gap profile against comparable late-stage private companies.
Entry and Exit Considerations
Entry catalysts most relevant to the Databricks CFD reference price include: new funding round announcements, updates to secondary-market platform prices, S-1 or IPO filing news, and material partnerships or revenue disclosures. Each of these has historically preceded discrete reference-price adjustments.
On the exit side, traders should assess three factors before closing a position. First, the bid-ask spread on a pre-IPO CFD is typically wider than on a public-market instrument, this cost is incurred on both entry and exit and should be factored into any P&L calculation.
Second, liquidity conditions around major news events can widen spreads further, making the effective exit price less predictable. Third, and most importantly, traders should review CoinUnited's published terms for how the Databricks pre-IPO position is handled in the event of an IPO.
The platform's terms will specify whether positions are settled at a reference price derived from the IPO event, converted, or closed, and at what timing. Traders who hold a position into an IPO event without understanding those mechanics face outcome uncertainty that is distinct from ordinary price risk.
Crypto-Native Infrastructure
CoinUnited's account infrastructure is fully crypto-native. Deposits and withdrawals are processed in cryptocurrency, removing the requirement for a traditional bank account and the onboarding paperwork associated with conventional pre-IPO brokerage platforms.
This makes the Databricks CFD accessible to traders who operate outside traditional financial infrastructure, provided they meet applicable eligibility conditions.
Frequently Asked Questions
Databricks is not publicly listed on any stock exchange. It remains a private company, meaning retail investors cannot purchase Databricks shares through a traditional brokerage account or stock market. The company is led by CEO Ali Ghodsi and has attracted backing from investors including Andreessen Horowitz, Microsoft, Coatue Management, Fidelity Management & Research, and others, but has not yet completed an IPO. Because Databricks is private, conventional access to its equity is restricted to institutional investors and accredited parties who participate in private funding rounds. For retail traders, a pre-IPO CFD on a platform like CoinUnited offers price exposure to Databricks without requiring share ownership. That CFD is a synthetic instrument, it does not confer equity, voting rights, dividends, or any IPO allocation. It tracks a private-market reference price and is not the same as owning Databricks stock.
Glossary
Key pre-IPO and CFD terms, one line each — so the page is unambiguous for both readers and AI answer engines.
| Pre-IPO | The stage before a company lists publicly; related valuations come from funding rounds, buybacks, tender offers, or private secondary trades. |
|---|---|
| Synthetic CFD | A contract for difference that gives price exposure only — it does not represent ownership of the underlying company’s shares. |
| Secondary market | A market where private shareholders trade with accredited investors; prices can disperse due to liquidity and transfer restrictions. |
| Accredited investor | An investor meeting specific asset, income, or professional thresholds; most private secondary venues serve only these users. |
| Reference price | An indicative value used for pricing or information display — not necessarily an executable quote. |
| Basis risk | The risk that a CFD reference and the secondary-market share price (or final IPO price) do not move in step. |
| GMV | Gross Merchandise Value — total transaction value on a platform; reflects commerce scale, not revenue or profit. |
| Implied valuation | A company valuation inferred from a share or trade price and the share count; for private companies it must carry a source and date. |
symbol
DATABRICKS
Markets
Pre-IPO
CU Product Code
DATABRICKS
Sources & References
Disclaimers & References
Important Risk Disclaimer
Pre-IPO CFD reference prices for Databricks are indicative only: they may be illiquid, discrete, stale, or differ from any future IPO price, and are not official equity valuations or executable quotes.
A CFD provides price exposure only, not equity ownership: no voting rights, no dividends, no IPO allocation.
Users should conduct their own research and consult with qualified financial professionals before making any investment decisions. The creators and operators of this platform assume no responsibility for any financial losses or other damages that may result from reliance on the information provided.
cu.disclaimer_risk_investment
Methodology Overview
Private-market reference methodology uses secondary-market indications, reported private transactions, tender-offer marks, funding-round valuation marks, comparable-company multiples, and venue quotes with source freshness. Reference prices may be stale, discrete, indicative, or unavailable, and should not be treated as official equity valuation or executable quotes.
Last methodology review:
DATABRICKS
Databricks
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