Pdf Solutions (PDFS) Property, Plant & Equipment (Net) (2010 - 2026)
Pdf Solutions (PDFS) recorded Property, Plant & Equipment (Net) of $94.52 million in Q2 2026, up 52.8% from $61.85 million a year earlier and up 4.5% from the prior quarter.
Pdf Solutions (PDFS) Property, Plant & Equipment (Net) (2010 - 2026) Analysis & Trends
At the end of FY2025, Pdf Solutions reported Property, Plant & Equipment (Net) of $81.61 million, up 68.4% from FY2024.
- Annual Property, Plant & Equipment (Net) has a five-year compound annual growth rate of 15.8% (FY2020 to FY2025).
- Across earlier years, Property, Plant & Equipment (Net) came in at $48.47 million in FY2024 (+29.8%), $37.34 million in FY2023 (-7.1%), $40.17 million in FY2022 (+13.8%) and $35.3 million in FY2021 (-10.1%).
- The Q2 2026 figure is the highest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2010.
- On a year-over-year basis, Property, Plant & Equipment (Net) has increased for eight consecutive quarters, with growth averaging 49.7% over the last eight quarters.
- Peak year-over-year performance for Property, Plant & Equipment (Net) in the last five years was growth of 68.4% in Q4 2025, against a decline of 13.5% in Q1 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $90.48 million (Q1 2026), $81.61 million (Q4 2025) and $71.92 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 14.29 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 136.14 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 3.14 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 56.43 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 3.44 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | 9.19 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 105.74 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 2.96 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 5.61 Bn |
| 10 | Pdf Solutions | 2.32 Bn | 2.10 Bn | 42.42 Mn | 94.52 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 94.52 Mn |
| Mar 31, 2026 | 90.48 Mn |
| Dec 31, 2025 | 81.61 Mn |
| Sep 30, 2025 | 71.92 Mn |
| Jun 30, 2025 | 61.85 Mn |
| Mar 31, 2025 | 56.56 Mn |
| Dec 31, 2024 | 48.47 Mn |
| Sep 30, 2024 | 46.02 Mn |
| Jun 30, 2024 | 40.71 Mn |
| Mar 31, 2024 | 36.09 Mn |
| Dec 31, 2023 | 37.34 Mn |
| Sep 30, 2023 | 37.83 Mn |
| Jun 30, 2023 | 42.99 Mn |
| Mar 31, 2023 | 41.72 Mn |
| Dec 31, 2022 | 40.17 Mn |
| Sep 30, 2022 | 38.74 Mn |
| Jun 30, 2022 | 38.39 Mn |
| Mar 31, 2022 | 36.84 Mn |
| Dec 31, 2021 | 35.30 Mn |
| Sep 30, 2021 | 37.82 Mn |
Pdf Solutions Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=PDFS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=PDFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();