UPWK
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+ FollowUndervalued by 107% based on the discounted cash flow analysis.
| Market cap | $994.32 Million |
|---|---|
| Enterprise Value | $1.05 Billion |
| Dividend Yield | $- (-) |
| Earnings per Share | $0.87 |
| Beta | 0.99 |
| Outstanding Shares | 128,100,000 |
| P/E Ratio | 9.45 |
|---|---|
| PEG | -56.86 |
| Price to Sales | 2.05 |
| Price to Book Ratio | 2.05 |
| Enterprise Value to Revenue | 1.76 |
| Enterprise Value to EBIT | 8.61 |
| Enterprise Value to Net Income | 7 |
| Total Debt to Enterprise | 0.37 |
| Debt to Equity | 0.67 |
No data
Market sentiment based on institutional option activity.
| Put/Call Ratio | 2.3233▲ 139.00% |
|---|---|
| Total Calls | 909,300▼ 48.23% |
| Total Puts | 2,112,600▲ 28.87% |
Holdings and activity of institutional investors.
| Ownership % | 103.41%▲ 0.04% |
|---|---|
| Total Invested | $1.48B▼ 44.55% |
| Investors Holding | 315▼ 14.00% |
No data
Upwork is the world's largest work marketplace that connects businesses with independent talent, as measured by GSV. We serve everyone from one-person startups to 30% of the Fortune 100 with a powerful, trust-driven platform that enables...
Provides the technical framework for legislation affecting independent contractor tax status and corporate tax burdens, directly impacting Upwork's compliance and user base.
Controls tax policy, including 1099 reporting requirements and international tax treaties, which are essential for Upwork's freelancer-business payment infrastructure.
This is the primary committee for labor law. Changes to worker classification (employee vs. contractor) represent the single largest regulatory risk to Upwork.
Oversight of antitrust and intellectual property is critical for platform-based companies; any changes to Section 230 or marketplace liability would originate here.
Upwork’s core client base consists of small businesses and startups; SBA policies and capital flow to these entities directly drive platform demand.
Jurisdiction over interstate commerce and the FTC directly affects Upwork's platform operations, data privacy regulations, and potential oversight of algorithmic labor matching.