Pdf Solutions (PDFS) Revenue (2010 - 2026)
Pdf Solutions (PDFS) reported Revenue of $61.53 million for Q2 2026, up 18.9% from $51.73 million a year earlier and up 2.3% from the prior quarter.
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Analysis
Pdf Solutions (PDFS) Revenue (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Pdf Solutions' Revenue came in at $241.18 million, up 23.0% year-over-year; for FY2025, it was $219.02 million, up 22.0% from FY2024.
- Revenue has increased for six consecutive years, with a five-year compound annual growth rate of 20.0% (FY2020 to FY2025).
- By year, Revenue came in at $179.47 million in FY2024 (+8.2%), $165.84 million in FY2023 (+11.6%), $148.55 million in FY2022 (+33.8%) and $111.06 million in FY2021 (+26.1%).
- Five-year quarterly Revenue spans a low of $29.56 million in Q3 2021 and a high of $62.4 million in Q4 2025.
- Year over year, Revenue has now increased in each of the last 22 quarters, with growth averaging 20.5% over the last eight quarters.
- Over the past five years, the year-over-year growth in Revenue ranged from 0.1% (Q2 2024) to 38.4% (Q1 2022).
- Per Business Quant data, the three quarters before Q2 2026 came in at $60.13 million (Q1 2026), $62.4 million (Q4 2025) and $57.12 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,515.53 Bn | 5,289.69 Bn | 72.14 Bn | 96.22 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,348.76 Bn | 1,974.46 Bn | 27.22 Bn | 40.19 Bn |
| 3 | Broadcom | 1,668.85 Bn | 1,594.89 Bn | 20.46 Bn | 29.59 Bn |
| 4 | Micron Technology | 1,189.94 Bn | 1,128.71 Bn | 35.06 Bn | 41.46 Bn |
| 5 | Advanced Micro Devices | 992.04 Bn | 948.79 Bn | 6.20 Bn | 11.54 Bn |
| 6 | Asml Holding | 682.73 Bn | 638.57 Bn | 5.90 Bn | 11.31 Bn |
| 7 | Intel | 585.14 Bn | 469.87 Bn | 6.51 Bn | 16.13 Bn |
| 8 | Lam Research | 393.49 Bn | 370.29 Bn | 3.48 Bn | 6.72 Bn |
| 9 | Applied Materials | 386.29 Bn | 351.73 Bn | 4.59 Bn | 9.12 Bn |
| 10 | Pdf Solutions | 2.08 Bn | 1.86 Bn | 42.42 Mn | 61.53 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 61.53 Mn |
| Mar 31, 2026 | 60.13 Mn |
| Dec 31, 2025 | 62.40 Mn |
| Sep 30, 2025 | 57.12 Mn |
| Jun 30, 2025 | 51.73 Mn |
| Mar 31, 2025 | 47.78 Mn |
| Dec 31, 2024 | 50.09 Mn |
| Sep 30, 2024 | 46.41 Mn |
| Jun 30, 2024 | 41.66 Mn |
| Mar 31, 2024 | 41.31 Mn |
| Dec 31, 2023 | 41.13 Mn |
| Sep 30, 2023 | 42.35 Mn |
| Jun 30, 2023 | 41.60 Mn |
| Mar 31, 2023 | 40.76 Mn |
| Dec 31, 2022 | 40.52 Mn |
| Sep 30, 2022 | 39.86 Mn |
| Jun 30, 2022 | 34.67 Mn |
| Mar 31, 2022 | 33.50 Mn |
| Dec 31, 2021 | 29.89 Mn |
| Sep 30, 2021 | 29.56 Mn |
API Access
Pdf Solutions Revenue 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=revenue&ticker=PDFS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=PDFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();