Pdf Solutions (PDFS) Total Current Liabilities (2010 - 2026)
Pdf Solutions' Total Current Liabilities came in at $73.28 million for Q2 2026, up 28.6% from $56.96 million a year earlier but down 2.3% from the prior quarter.
Pdf Solutions (PDFS) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Pdf Solutions' Total Current Liabilities was $71.89 million, up 18.7% from FY2024.
- Total Current Liabilities carries a five-year compound annual growth rate of 11.2% (FY2020 to FY2025).
- Going back by year, Total Current Liabilities was $60.54 million in FY2024 (+19.1%), $50.84 million in FY2023 (-12.6%), $58.2 million in FY2022 (+32.8%) and $43.83 million in FY2021 (+3.8%).
- The five-year range for quarterly Total Current Liabilities is $41.14 million (Q3 2021) to $74.97 million (Q1 2026).
- Year-over-year, Total Current Liabilities has increased for nine consecutive quarters, with growth averaging 17.5% over the last eight quarters.
- The fastest year-over-year change in Total Current Liabilities over five years came in Q4 2022 (growth of 32.8%), and the weakest in Q4 2023 (a decline of 12.6%).
- Business Quant data shows PDFS's Total Current Liabilities at $74.97 million (Q1 2026), $71.89 million (Q4 2025) and $66.08 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,515.53 Bn | 5,289.69 Bn | 72.14 Bn | 43.02 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,348.76 Bn | 1,974.46 Bn | 27.22 Bn | 58.78 Bn |
| 3 | Broadcom | 1,668.85 Bn | 1,594.89 Bn | 20.46 Bn | 20.84 Bn |
| 4 | Micron Technology | 1,189.94 Bn | 1,128.71 Bn | 35.06 Bn | 19.49 Bn |
| 5 | Advanced Micro Devices | 992.04 Bn | 948.79 Bn | 6.20 Bn | 12.08 Bn |
| 6 | Asml Holding | 682.73 Bn | 638.57 Bn | 5.90 Bn | 28.24 Bn |
| 7 | Intel | 585.14 Bn | 469.87 Bn | 6.51 Bn | 35.67 Bn |
| 8 | Lam Research | 393.49 Bn | 370.29 Bn | 3.48 Bn | 5.94 Bn |
| 9 | Applied Materials | 386.29 Bn | 351.73 Bn | 4.59 Bn | 10.36 Bn |
| 10 | Pdf Solutions | 2.08 Bn | 1.86 Bn | 42.42 Mn | 73.28 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 73.28 Mn |
| Mar 31, 2026 | 74.97 Mn |
| Dec 31, 2025 | 71.89 Mn |
| Sep 30, 2025 | 66.08 Mn |
| Jun 30, 2025 | 56.96 Mn |
| Mar 31, 2025 | 64.30 Mn |
| Dec 31, 2024 | 60.54 Mn |
| Sep 30, 2024 | 57.73 Mn |
| Jun 30, 2024 | 55.46 Mn |
| Mar 31, 2024 | 51.80 Mn |
| Dec 31, 2023 | 50.84 Mn |
| Sep 30, 2023 | 49.92 Mn |
| Jun 30, 2023 | 52.08 Mn |
| Mar 31, 2023 | 54.26 Mn |
| Dec 31, 2022 | 58.20 Mn |
| Sep 30, 2022 | 52.40 Mn |
| Jun 30, 2022 | 41.79 Mn |
| Mar 31, 2022 | 42.57 Mn |
| Dec 31, 2021 | 43.83 Mn |
| Sep 30, 2021 | 41.14 Mn |
Pdf Solutions Total Current Liabilities 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=total-current-liabilities&ticker=PDFS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=PDFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();