Synopsys (SNPS) Price to Book (2009 - 2026)
Synopsys' (SNPS) Price to Book stood at 2.39 in fiscal Q3 2026 (quarter ended Jul 31, 2026), down 43.8% from 4.25 a year earlier.
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Analysis
Synopsys (SNPS) Price to Book (2009 - 2026) Analysis & Trends
For FY2025 (ended Oct 31, 2025), Synopsys' Price to Book came in at 2.98, down 66.1% from FY2024.
- Across earlier fiscal years, Price to Book came in at 8.80 in FY2024 (-24.1%), 11.60 in FY2023 (+43.7%), 8.07 in FY2022 (-16.1%) and 9.62 in FY2021 (+44.8%).
- The fiscal Q3 2026 figure is the lowest quarterly Price to Book since fiscal Q2 2016.
- Peak year-over-year performance for Price to Book in the last five years was growth of 44.8% in fiscal Q4 2021, against a decline of 66.6% in fiscal Q1 2026 at the low end.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,503.96 Bn | 5,278.12 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,366.45 Bn | 1,992.15 Bn | 27.22 Bn |
| 3 | Broadcom | 1,676.58 Bn | 1,602.63 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,202.51 Bn | 1,141.27 Bn | 35.06 Bn |
| 5 | Advanced Micro Devices | 998.39 Bn | 955.14 Bn | 6.20 Bn |
| 6 | Asml Holding | 698.25 Bn | 654.08 Bn | 5.90 Bn |
| 7 | Intel | 606.32 Bn | 491.05 Bn | 6.51 Bn |
| 8 | Lam Research | 411.06 Bn | 387.85 Bn | 3.48 Bn |
| 9 | Applied Materials | 405.83 Bn | 371.27 Bn | 4.59 Bn |
| 10 | Synopsys | 83.34 Bn | 79.73 Bn | 1.80 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 2.39 |
| Jan 31, 2026 | 2.91 |
| Oct 31, 2025 | 2.98 |
| Jul 31, 2025 | 4.25 |
| Apr 30, 2025 | 7.18 |
| Jan 31, 2025 | 8.73 |
| Oct 31, 2024 | 8.80 |
| Jul 31, 2024 | 11.12 |
| Apr 30, 2024 | 11.36 |
| Jan 31, 2024 | 12.19 |
| Oct 31, 2023 | 11.60 |
| Jul 31, 2023 | 11.52 |
| Apr 30, 2023 | 9.69 |
| Jan 31, 2023 | 9.55 |
| Oct 31, 2022 | 8.07 |
| Jul 31, 2022 | 10.03 |
| Apr 30, 2022 | 7.88 |
| Jan 31, 2022 | 8.83 |
| Oct 31, 2021 | 9.62 |
| Jul 31, 2021 | 8.52 |
API Access
Synopsys Price to Book API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=price-to-book&ticker=SNPS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "SNPS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=price-to-book&ticker=SNPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();