Bringing the fundamentals into focus…
Back to Synopsys, Inc.
How Synopsys, Inc. stacks up
SNPS · against 1,666 other Technology companies
Valuation
37/ 100
Below the middle of the pack.
Ranked #1,043 of 1,667 · scores higher than 37% of peers
Bars: peers in each 10-point band of the valuation score167 peers with a valuation score of 30–39, including SNPS · Click a bar to see the companies
Why valuation scores 37?
Weighted metrics compared with all Technology companies.Mainly because of its EBITDA yield and earnings yield, which are weaker than most Technology peers.
- less operating profit (EBITDA) for the company's total value: weaker than 67% of peers. EBITDA yield: 2.7% vs peer median 4.2%
- lower earnings for the price paid: weaker than 63% of peers. Earnings yield: 1.2% vs peer median 2.2%
- Free cash flow yield is close to the peer norm. Free cash flow yield: 3.1% vs peer median 2.7%
Metric by metric
Position: dot = SNPS, ranked from the worst peer (left) to the best (right); tick = middle, shaded = middle half of peers.| Metric | SNPS | Peer median | Better than | Position among peers | Weight |
|---|---|---|---|---|---|
| Earnings yieldHigher is better · 1,632 reported | 1.2% | 2.3% | 37% | 30% | |
| EBITDA yieldHigher is better · 1,698 reported | 2.3% | 4.3% | 33% | 50% | |
| Free cash flow yieldHigher is better · 725 reported | 3.1% | 2.7% | 53% | 20% | |
| Book yieldHigher is better · 1,634 reported | 35.1% | 33.4% | 53% | Context only |
Ranking by valuation score
Top 5 and the companies ranked around SNPS| Rank | Company | Market cap | Valuation | Overall |
|---|---|---|---|---|
| 1 | 328.2B KRW (≈$236M) | 100 | 58 | |
| 1 | 252.6B KRW (≈$182M) | 100 | 54 | |
| 1 | 443.2B KRW (≈$319M) | 100 | 64 | |
| 1 | 569.9B KRW (≈$410M) | 100 | 88 | |
| 1 | 111M MYR (≈$24M) | 100 | 72 | |
| 1,043 | 320.1B USD | 37 | 28 | |
| 1,043 |
Scores are sector-relative percentiles from the latest snapshot, always calculated against the whole sector: narrowing the comparison group changes who you compare with, not the scores. Missing metrics are left out and the remaining weights rescaled. How we score