PL vs RLLCF: Planet Labs PBC vs Rolls-Royce Holdings plc
Side-by-side comparison of key financial metrics, valuation ratios, profitability, growth, and risk-adjusted returns. Both companies are in the Industrials sector. Both are listed in United States.
PL
PL•United States
$38.48
-3.53%
RL
RLLCF•United States
$0.00
+4.00%
Quick Summary
Rolls-Royce Holdings plc is 7.0× the market cap of Planet Labs PBC. PL trades at a lower P/E than RLLCF.
Price & Performance
| Metric | PL | RLLCF |
|---|---|---|
| Current Price | $38.48 | $0.00 |
| Daily Change | -3.53% | 4.00% |
| 1-Year Return | 1091.33% | -25.71% |
| 52-Week High | $39.89 | $0.01 |
| 52-Week Low | $2.96 | $0.00 |
| 50-Day MA | $24.43 | $0.00 |
| 200-Day MA | $13.65 | $0.00 |
| Beta | 1.96 | 1.23 |
Size & Revenue
| Metric | PL | RLLCF |
|---|---|---|
| Market Cap | $8.46B | $58.86B |
| Enterprise Value | $8.56B | $-1.84B |
| Revenue (TTM) | $220.70M | $21.21B |
| Shares Outstanding | 317.60M | 1.85B |
| Float | 258.75M | 8.20B |
| Employees | 810 | 43,162 |
Valuation
| Metric | PL | RLLCF |
|---|---|---|
| Trailing P/E | 0.00 | 0.15 |
| Forward P/E | 0.00 | 0.00 |
| Price / Sales | 29.94 | 2.78 |
| Price / Book | 24.19 | 0.00 |
| EV / EBITDA | -6.73 | 0.00 |
Profitability
| Metric | PL | RLLCF |
|---|---|---|
| Profit Margin | -45.87% | 27.54% |
| Operating Margin (TTM) | -20.85% | 20.33% |
| Return on Equity | -31.83% | 62.35% |
| Return on Assets | -5.42% | 7.09% |
| Diluted EPS (TTM) | -0.43 | 0.02 |
Growth
| Metric | PL | RLLCF |
|---|---|---|
| Revenue Growth (YoY) | 32.60% | 16.60% |
| Earnings Growth (YoY) | 0.00% | 4.10% |
Risk-Adjusted Returns & Quality
| Metric | PL | RLLCF |
|---|---|---|
| Sortino (Composite) | 15.21 | -0.42 |
| Sharpe (Composite) | 6.04 | -0.28 |
| Calmar (Composite) | 22.06 | -1.59 |
| Hurst Exponent | 0.6308 | 0.4693 |
| Piotroski F-Score | 3/9 | 6/9 |
Ownership
| Metric | PL | RLLCF |
|---|---|---|
| % Insiders | 195.80% | 0.00% |
| % Institutions | 7421.00% | 2.90% |
Compare PL to peers
Compare RLLCF to peers
Green highlighting indicates the more favorable value for each metric. Data is for informational purposes only and may be delayed.