Pdf Solutions (PDFS) Total Non-Current Liabilities (2010 - 2026)
Pdf Solutions' Total Non-Current Liabilities came in at $142.1 million for Q2 2026, up 9.3% from $129.97 million a year earlier but down 2.3% from the prior quarter.
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Analysis
Pdf Solutions (PDFS) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Pdf Solutions' Total Non-Current Liabilities was $143.4 million, up 116.2% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of 23.4% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $66.34 million in FY2024 (+13.9%), $58.22 million in FY2023 (-11.8%), $66.04 million in FY2022 (+28.2%) and $51.53 million in FY2021 (+2.8%).
- The five-year range for quarterly Total Non-Current Liabilities is $48.82 million (Q2 2022) to $145.52 million (Q1 2026).
- Year-over-year, Total Non-Current Liabilities has increased for nine consecutive quarters, with growth averaging 64.6% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q1 2025 (growth of 134.1%), and the weakest in Q4 2023 (a decline of 11.8%).
- Business Quant data shows PDFS's Total Non-Current Liabilities at $145.52 million (Q1 2026), $143.4 million (Q4 2025) and $138.72 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,475.76 Bn | 5,249.92 Bn | 72.14 Bn | 80.37 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,370.28 Bn | 1,995.99 Bn | 27.22 Bn | 33.01 Bn |
| 3 | Broadcom | 1,695.25 Bn | 1,621.29 Bn | 20.46 Bn | 78.01 Bn |
| 4 | Micron Technology | 1,202.48 Bn | 1,141.24 Bn | 35.06 Bn | 26.30 Bn |
| 5 | Advanced Micro Devices | 991.55 Bn | 948.30 Bn | 6.20 Bn | 15.78 Bn |
| 6 | Asml Holding | 707.01 Bn | 662.84 Bn | 5.90 Bn | 7.79 Bn |
| 7 | Intel | 584.63 Bn | 469.37 Bn | 6.51 Bn | 84.22 Bn |
| 8 | Applied Materials | 406.33 Bn | 371.77 Bn | 4.59 Bn | 16.48 Bn |
| 9 | Lam Research | 405.24 Bn | 382.04 Bn | 3.48 Bn | 10.35 Bn |
| 10 | Pdf Solutions | 2.08 Bn | 1.86 Bn | 42.42 Mn | 142.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 142.10 Mn |
| Mar 31, 2026 | 145.52 Mn |
| Dec 31, 2025 | 143.40 Mn |
| Sep 30, 2025 | 138.72 Mn |
| Jun 30, 2025 | 129.97 Mn |
| Mar 31, 2025 | 136.80 Mn |
| Dec 31, 2024 | 66.34 Mn |
| Sep 30, 2024 | 64.00 Mn |
| Jun 30, 2024 | 62.14 Mn |
| Mar 31, 2024 | 58.43 Mn |
| Dec 31, 2023 | 58.22 Mn |
| Sep 30, 2023 | 57.66 Mn |
| Jun 30, 2023 | 59.77 Mn |
| Mar 31, 2023 | 62.50 Mn |
| Dec 31, 2022 | 66.04 Mn |
| Sep 30, 2022 | 60.42 Mn |
| Jun 30, 2022 | 48.82 Mn |
| Mar 31, 2022 | 49.34 Mn |
| Dec 31, 2021 | 51.53 Mn |
| Sep 30, 2021 | 49.15 Mn |
API Access
Pdf Solutions Total Non-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-non-current-liabilities&ticker=PDFS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-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-non-current-liabilities&ticker=PDFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();