Pdf Solutions (PDFS) Non-Current Assets (2010 - 2026)
Pdf Solutions' Non-Current Assets came in at $266.57 million for Q2 2026, up 4.0% from $256.34 million a year earlier and up 4.6% from the prior quarter.
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Analysis
Pdf Solutions (PDFS) Non-Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Pdf Solutions' Non-Current Assets was $254.8 million, up 133.1% from FY2024.
- Non-Current Assets has increased in each of the last three years, with a five-year compound annual growth rate of 22.0% (FY2020 to FY2025).
- Going back by year, Non-Current Assets was $109.31 million in FY2024 (+18.4%), $92.29 million in FY2023 (+8.2%), $85.26 million in FY2022 (unchanged) and $85.26 million in FY2021 (-9.5%).
- The Q2 2026 figure represents the highest quarterly Non-Current Assets in data going back to Q4 2010.
- Year-over-year, Non-Current Assets has increased for 14 consecutive quarters, with growth averaging 76.2% over the last eight quarters.
- The fastest year-over-year change in Non-Current Assets over five years came in Q1 2025 (growth of 150.6%), and the weakest in Q4 2021 (a decline of 9.5%).
- Business Quant data shows PDFS's Non-Current Assets at $254.92 million (Q1 2026), $254.8 million (Q4 2025) and $260.28 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,515.53 Bn | 5,289.69 Bn | 72.14 Bn | 122.86 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,348.76 Bn | 1,974.46 Bn | 27.22 Bn | 152.18 Bn |
| 3 | Broadcom | 1,668.85 Bn | 1,594.89 Bn | 20.46 Bn | 135.98 Bn |
| 4 | Micron Technology | 1,189.94 Bn | 1,128.71 Bn | 35.06 Bn | 67.38 Bn |
| 5 | Advanced Micro Devices | 992.04 Bn | 948.79 Bn | 6.20 Bn | 52.94 Bn |
| 6 | Asml Holding | 682.73 Bn | 638.57 Bn | 5.90 Bn | 23.22 Bn |
| 7 | Intel | 585.14 Bn | 469.87 Bn | 6.51 Bn | 145.23 Bn |
| 8 | Lam Research | 393.49 Bn | 370.29 Bn | 3.48 Bn | 7.92 Bn |
| 9 | Applied Materials | 386.29 Bn | 351.73 Bn | 4.59 Bn | 18.43 Bn |
| 10 | Pdf Solutions | 2.08 Bn | 1.86 Bn | 42.42 Mn | 266.57 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 266.57 Mn |
| Mar 31, 2026 | 254.92 Mn |
| Dec 31, 2025 | 254.80 Mn |
| Sep 30, 2025 | 260.28 Mn |
| Jun 30, 2025 | 256.34 Mn |
| Mar 31, 2025 | 249.35 Mn |
| Dec 31, 2024 | 109.31 Mn |
| Sep 30, 2024 | 115.96 Mn |
| Jun 30, 2024 | 104.71 Mn |
| Mar 31, 2024 | 99.51 Mn |
| Dec 31, 2023 | 92.29 Mn |
| Sep 30, 2023 | 88.13 Mn |
| Jun 30, 2023 | 85.92 Mn |
| Mar 31, 2023 | 86.15 Mn |
| Dec 31, 2022 | 85.26 Mn |
| Sep 30, 2022 | 85.45 Mn |
| Jun 30, 2022 | 85.39 Mn |
| Mar 31, 2022 | 84.73 Mn |
| Dec 31, 2021 | 85.26 Mn |
| Sep 30, 2021 | 90.02 Mn |
API Access
Pdf Solutions Non-Current Assets 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=non-current-assets&ticker=PDFS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=PDFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();