Pdf Solutions (PDFS) Price to Earnings (2011 - 2026)
Pdf Solutions' (PDFS) Price to Earnings stood at 287.67 in Q2 2026, down 70.5% from 974.74 a year earlier but up 58.3% from the prior quarter.
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Analysis
Pdf Solutions (PDFS) Price to Earnings (2011 - 2026) Analysis & Trends
For FY2024, Pdf Solutions' Price to Earnings came in at 258.99, down 34.7% from FY2023.
- Across earlier years, Price to Earnings came in at 396.33 in FY2023.
- Quarterly Price to Earnings has ranged from 181.75 in Q1 2026 to 1490.94 in Q1 2023 over the past five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn |
| 10 | Pdf Solutions | 2.32 Bn | 2.10 Bn | 42.42 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 287.67 |
| Mar 31, 2026 | 181.75 |
| Jun 30, 2025 | 974.74 |
| Mar 31, 2025 | 527.34 |
| Dec 31, 2024 | 258.99 |
| Sep 30, 2024 | 278.78 |
| Mar 31, 2024 | 548.45 |
| Dec 31, 2023 | 396.33 |
| Sep 30, 2023 | 458.77 |
| Jun 30, 2023 | 188.60 |
| Mar 31, 2023 | 1,490.94 |
| Sep 30, 2017 | 117.00 |
| Jun 30, 2017 | 94.72 |
| Mar 31, 2017 | 96.13 |
| Dec 31, 2016 | 78.93 |
| Sep 30, 2016 | 63.74 |
| Jun 30, 2016 | 51.63 |
| Mar 31, 2016 | 49.16 |
| Dec 31, 2015 | 27.18 |
| Sep 30, 2015 | 20.43 |
API Access
Pdf Solutions Price to Earnings 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-earnings&ticker=PDFS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "PDFS", "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-earnings&ticker=PDFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();