Pdf Solutions (PDFS) Cash & Equivalents (2010 - 2026)
Pdf Solutions' Cash & Equivalents came in at $114.88 million for Q2 2026, up 207.1% from $37.42 million a year earlier and up 268.8% from the prior quarter.
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Analysis
Pdf Solutions (PDFS) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Pdf Solutions' Cash & Equivalents was $42.22 million, down 53.4% from FY2024.
- Cash & Equivalents has declined in each of the last three years, though with a five-year compound annual growth rate of 6.8% (FY2020 to FY2025).
- Going back by year, Cash & Equivalents was $90.59 million in FY2024 (-8.5%), $98.98 million in FY2023 (-17.3%), $119.62 million in FY2022 (+332.1%) and $27.68 million in FY2021 (-8.7%).
- The Q2 2026 figure represents the highest quarterly Cash & Equivalents since Q4 2022.
- Year-over-year, Cash & Equivalents increased in 1 of the last eight quarters, with an average decline of 8.5%.
- The fastest year-over-year change in Cash & Equivalents over five years came in Q4 2022 (growth of 332.1%), and the weakest in Q3 2025 (a decline of 62.8%).
- Business Quant data shows PDFS's Cash & Equivalents at $31.15 million (Q1 2026), $42.22 million (Q4 2025) and $35.88 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,563.73 Bn | 5,337.89 Bn | 72.14 Bn | 22.44 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,381.64 Bn | 2,007.35 Bn | 27.22 Bn | 99.16 Bn |
| 3 | Broadcom | 1,640.54 Bn | 1,566.58 Bn | 20.46 Bn | 23.98 Bn |
| 4 | Micron Technology | 1,238.95 Bn | 1,177.72 Bn | 35.06 Bn | 25.00 Bn |
| 5 | Advanced Micro Devices | 1,004.87 Bn | 961.62 Bn | 6.20 Bn | 5.09 Bn |
| 6 | Asml Holding | 697.02 Bn | 652.86 Bn | 5.90 Bn | 15.03 Bn |
| 7 | Intel | 605.16 Bn | 489.89 Bn | 6.51 Bn | 12.87 Bn |
| 8 | Lam Research | 425.56 Bn | 402.36 Bn | 3.48 Bn | 5.58 Bn |
| 9 | Applied Materials | 420.05 Bn | 385.49 Bn | 4.59 Bn | 7.04 Bn |
| 10 | Pdf Solutions | 2.24 Bn | 2.01 Bn | 42.42 Mn | 114.88 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 114.88 Mn |
| Mar 31, 2026 | 31.15 Mn |
| Dec 31, 2025 | 42.22 Mn |
| Sep 30, 2025 | 35.88 Mn |
| Jun 30, 2025 | 37.42 Mn |
| Mar 31, 2025 | 43.73 Mn |
| Dec 31, 2024 | 90.59 Mn |
| Sep 30, 2024 | 96.43 Mn |
| Jun 30, 2024 | 91.99 Mn |
| Mar 31, 2024 | 85.26 Mn |
| Dec 31, 2023 | 98.98 Mn |
| Sep 30, 2023 | 111.62 Mn |
| Jun 30, 2023 | 100.36 Mn |
| Mar 31, 2023 | 114.38 Mn |
| Dec 31, 2022 | 119.62 Mn |
| Sep 30, 2022 | 93.73 Mn |
| Jun 30, 2022 | 81.34 Mn |
| Mar 31, 2022 | 35.80 Mn |
| Dec 31, 2021 | 27.68 Mn |
| Sep 30, 2021 | 71.24 Mn |
API Access
Pdf Solutions Cash & Equivalents 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=cash-and-equivalents&ticker=PDFS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=PDFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();