ADP Quote, Financials, Valuation and Earnings

Cadence Design Systems has a net margin of 24.04% compared to Automatic Data Processing's net margin of 22.02%. Automatic Data Processing's return on equity of 78.53% beat Cadence Design Systems's return on equity of 24.76%.

Automatic Data Processing has a consensus price target of $314.54, signalling upside risk potential of 5.48%. On the other hand Cadence Design Systems has an analysts' consensus of $320.98 which suggests that it could grow by 7.88%. Given that Cadence Design Systems has higher upside potential than Automatic Data Processing, analysts believe Cadence Design Systems is more attractive than Automatic Data Processing.

Automatic Data Processing has a beta of 0.788, which suggesting that the stock is 21.217% less volatile than S&P 500. In comparison Cadence Design Systems has a beta of 0.985, suggesting its less volatile than the S&P 500 by 1.488%.

Automatic Data Processing has a quarterly dividend of $1.54 per share corresponding to a yield of 2.02%. Cadence Design Systems offers a yield of 0% to investors and pays a quarterly dividend of $0.00 per share. Automatic Data Processing pays 58.19% of its earnings as a dividend. Cadence Design Systems pays out -- of its earnings as a dividend. Automatic Data Processing's payout ratio is sufficient to cover dividend payouts with earnings for the foreseeable future.

Automatic Data Processing quarterly revenues are $5.2B, which are larger than Cadence Design Systems quarterly revenues of $1.2B. Automatic Data Processing's net income of $1.2B is higher than Cadence Design Systems's net income of $273.6M. Notably, Automatic Data Processing's price-to-earnings ratio is 30.52x while Cadence Design Systems's PE ratio is 75.32x. Generally a lower price-to-earnings ratio signals a stock is trading at a lower multiple of earnings and is a better value. Another key metric is the price-to-sales ratio, which for Automatic Data Processing is 6.40x versus 16.72x for Cadence Design Systems. Usually stocks with elevated PS ratios are considered overvalued.

Microsoft has a net margin of 24.04% compared to Automatic Data Processing's net margin of 36.86%. Automatic Data Processing's return on equity of 78.53% beat Microsoft's return on equity of 33.7%.

Automatic Data Processing has a consensus price target of $314.54, signalling upside risk potential of 5.48%. On the other hand Microsoft has an analysts' consensus of $519.40 which suggests that it could grow by 5.32%. Given that Automatic Data Processing has higher upside potential than Microsoft, analysts believe Automatic Data Processing is more attractive than Microsoft.

Automatic Data Processing has a beta of 0.788, which suggesting that the stock is 21.217% less volatile than S&P 500. In comparison Microsoft has a beta of 1.034, suggesting its more volatile than the S&P 500 by 3.397%.

Automatic Data Processing has a quarterly dividend of $1.54 per share corresponding to a yield of 2.02%. Microsoft offers a yield of 0.66% to investors and pays a quarterly dividend of $0.83 per share. Automatic Data Processing pays 58.19% of its earnings as a dividend. Microsoft pays out 24.7% of its earnings as a dividend. Both of these payout ratios are sufficient to cover dividend payouts with earnings for the foreseeable future.

Automatic Data Processing quarterly revenues are $5.2B, which are smaller than Microsoft quarterly revenues of $70.1B. Automatic Data Processing's net income of $1.2B is lower than Microsoft's net income of $25.8B. Notably, Automatic Data Processing's price-to-earnings ratio is 30.52x while Microsoft's PE ratio is 38.04x. Generally a lower price-to-earnings ratio signals a stock is trading at a lower multiple of earnings and is a better value. Another key metric is the price-to-sales ratio, which for Automatic Data Processing is 6.40x versus 13.62x for Microsoft. Usually stocks with elevated PS ratios are considered overvalued.

Strategy has a net margin of 24.04% compared to Automatic Data Processing's net margin of -3797.18%. Automatic Data Processing's return on equity of 78.53% beat Strategy's return on equity of -43.87%.

Automatic Data Processing has a consensus price target of $314.54, signalling upside risk potential of 5.48%. On the other hand Strategy has an analysts' consensus of $525.69 which suggests that it could grow by 35.25%. Given that Strategy has higher upside potential than Automatic Data Processing, analysts believe Strategy is more attractive than Automatic Data Processing.

Automatic Data Processing has a beta of 0.788, which suggesting that the stock is 21.217% less volatile than S&P 500. In comparison Strategy has a beta of 3.733, suggesting its more volatile than the S&P 500 by 273.307%.

Automatic Data Processing has a quarterly dividend of $1.54 per share corresponding to a yield of 2.02%. Strategy offers a yield of 0% to investors and pays a quarterly dividend of $0.00 per share. Automatic Data Processing pays 58.19% of its earnings as a dividend. Strategy pays out -- of its earnings as a dividend. Automatic Data Processing's payout ratio is sufficient to cover dividend payouts with earnings for the foreseeable future.

Automatic Data Processing quarterly revenues are $5.2B, which are larger than Strategy quarterly revenues of $111.1M. Automatic Data Processing's net income of $1.2B is higher than Strategy's net income of -$4.2B. Notably, Automatic Data Processing's price-to-earnings ratio is 30.52x while Strategy's PE ratio is --. Generally a lower price-to-earnings ratio signals a stock is trading at a lower multiple of earnings and is a better value. Another key metric is the price-to-sales ratio, which for Automatic Data Processing is 6.40x versus 180.78x for Strategy. Usually stocks with elevated PS ratios are considered overvalued.

Oracle has a net margin of 24.04% compared to Automatic Data Processing's net margin of 21.55%. Automatic Data Processing's return on equity of 78.53% beat Oracle's return on equity of 85.26%.

Automatic Data Processing has a consensus price target of $314.54, signalling upside risk potential of 5.48%. On the other hand Oracle has an analysts' consensus of $212.87 which suggests that it could grow by 1.02%. Given that Automatic Data Processing has higher upside potential than Oracle, analysts believe Automatic Data Processing is more attractive than Oracle.

Automatic Data Processing has a beta of 0.788, which suggesting that the stock is 21.217% less volatile than S&P 500. In comparison Oracle has a beta of 1.325, suggesting its more volatile than the S&P 500 by 32.494%.

Automatic Data Processing has a quarterly dividend of $1.54 per share corresponding to a yield of 2.02%. Oracle offers a yield of 1% to investors and pays a quarterly dividend of $0.50 per share. Automatic Data Processing pays 58.19% of its earnings as a dividend. Oracle pays out 38.12% of its earnings as a dividend. Both of these payout ratios are sufficient to cover dividend payouts with earnings for the foreseeable future.

Automatic Data Processing quarterly revenues are $5.2B, which are smaller than Oracle quarterly revenues of $15.9B. Automatic Data Processing's net income of $1.2B is lower than Oracle's net income of $3.4B. Notably, Automatic Data Processing's price-to-earnings ratio is 30.52x while Oracle's PE ratio is 48.55x. Generally a lower price-to-earnings ratio signals a stock is trading at a lower multiple of earnings and is a better value. Another key metric is the price-to-sales ratio, which for Automatic Data Processing is 6.40x versus 10.52x for Oracle. Usually stocks with elevated PS ratios are considered overvalued.