Pdf Solutions (PDFS) EV to EBITDA (2011 - 2026)
Pdf Solutions' EV to EBITDA was 76.36 in Q2 2026, up 3.0% from 74.16 a year earlier and up 91.6% from the prior quarter.
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Analysis
Pdf Solutions (PDFS) EV to EBITDA (2011 - 2026) Analysis & Trends
On a trailing twelve-month basis, Pdf Solutions' EV to EBITDA was 73.44 through Jun 30, 2026, up 55.4% year-over-year; for FY2025, it was 53.38, down 40.3% from FY2024.
- In earlier years, EV to EBITDA was 89.40 in FY2024 (-14.1%), 104.02 in FY2023 (+30.8%) and 79.54 in FY2022.
- The Q2 2026 figure marks the highest quarterly EV to EBITDA since Q1 2025.
- Compared with a year earlier, EV to EBITDA was higher in two of the last eight quarters, with an average decline of 26.3%.
- The best year-over-year quarter for EV to EBITDA over five years was Q2 2024 (growth of 233.9%); the worst was Q1 2023 (a decline of 78.0%).
- Per Business Quant data, PDFS's EV to EBITDA in the three quarters before Q2 2026 was 39.86 (Q1 2026), 53.38 (Q4 2025) and 64.86 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,515.53 Bn | 5,289.69 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,348.76 Bn | 1,974.46 Bn | 27.22 Bn |
| 3 | Broadcom | 1,668.85 Bn | 1,594.89 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,189.94 Bn | 1,128.71 Bn | 35.06 Bn |
| 5 | Advanced Micro Devices | 992.04 Bn | 948.79 Bn | 6.20 Bn |
| 6 | Asml Holding | 682.73 Bn | 638.57 Bn | 5.90 Bn |
| 7 | Intel | 585.14 Bn | 469.87 Bn | 6.51 Bn |
| 8 | Lam Research | 393.49 Bn | 370.29 Bn | 3.48 Bn |
| 9 | Applied Materials | 386.29 Bn | 351.73 Bn | 4.59 Bn |
| 10 | Pdf Solutions | 2.08 Bn | 1.86 Bn | 42.42 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 76.36 |
| Mar 31, 2026 | 39.86 |
| Dec 31, 2025 | 53.38 |
| Sep 30, 2025 | 64.86 |
| Jun 30, 2025 | 74.16 |
| Mar 31, 2025 | 77.54 |
| Dec 31, 2024 | 95.16 |
| Sep 30, 2024 | 153.63 |
| Jun 30, 2024 | 320.94 |
| Mar 31, 2024 | 194.84 |
| Dec 31, 2023 | 118.06 |
| Sep 30, 2023 | 79.32 |
| Jun 30, 2023 | 96.12 |
| Mar 31, 2023 | 105.07 |
| Dec 31, 2022 | 90.42 |
| Sep 30, 2022 | 94.56 |
| Jun 30, 2022 | 125.15 |
| Mar 31, 2022 | 477.77 |
| Dec 31, 2019 | 3,156.44 |
| Sep 30, 2018 | 267.61 |
API Access
Pdf Solutions EV to EBITDA 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=ev-to-ebitda&ticker=PDFS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=PDFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();