Pdf Solutions (PDFS) Operating Leases (2019 - 2026)
Pdf Solutions' Operating Leases was $2.95 million in Q2 2026, down 29.4% from $4.18 million a year earlier and down 15.1% from the prior quarter.
Powered by 
Analysis
Pdf Solutions (PDFS) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2025, Operating Leases at Pdf Solutions came in at $3.84 million, up 9.5% from FY2024.
- Operating Leases shows a five-year compound annual growth rate of -10.0% (FY2020 to FY2025).
- In earlier years, Operating Leases was $3.5 million in FY2024 (-24.8%), $4.66 million in FY2023 (-21.5%), $5.93 million in FY2022 (+12.8%) and $5.26 million in FY2021 (-19.3%).
- The Q2 2026 figure marks the lowest quarterly Operating Leases in data going back to Q1 2019.
- Compared with a year earlier, Operating Leases was higher in four of the last eight quarters, with an average decline of 8.7%.
- The best year-over-year quarter for Operating Leases over five years was Q1 2023 (growth of 18.1%); the worst was Q2 2026 (a decline of 29.4%).
- Per Business Quant data, PDFS's Operating Leases in the three quarters before Q2 2026 was $3.48 million (Q1 2026), $3.84 million (Q4 2025) and $4.26 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,515.53 Bn | 5,289.69 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,348.76 Bn | 1,974.46 Bn | 27.22 Bn |
| 3 | Broadcom | 1,668.85 Bn | 1,594.89 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,189.94 Bn | 1,128.71 Bn | 35.06 Bn |
| 5 | Advanced Micro Devices | 992.04 Bn | 948.79 Bn | 6.20 Bn |
| 6 | Asml Holding | 682.73 Bn | 638.57 Bn | 5.90 Bn |
| 7 | Intel | 585.14 Bn | 469.87 Bn | 6.51 Bn |
| 8 | Lam Research | 393.49 Bn | 370.29 Bn | 3.48 Bn |
| 9 | Applied Materials | 386.29 Bn | 351.73 Bn | 4.59 Bn |
| 10 | Pdf Solutions | 2.08 Bn | 1.86 Bn | 42.42 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.95 Mn |
| Mar 31, 2026 | 3.48 Mn |
| Dec 31, 2025 | 3.84 Mn |
| Sep 30, 2025 | 4.26 Mn |
| Jun 30, 2025 | 4.18 Mn |
| Mar 31, 2025 | 3.15 Mn |
| Dec 31, 2024 | 3.50 Mn |
| Sep 30, 2024 | 3.87 Mn |
| Jun 30, 2024 | 4.00 Mn |
| Mar 31, 2024 | 4.36 Mn |
| Dec 31, 2023 | 4.66 Mn |
| Sep 30, 2023 | 4.92 Mn |
| Jun 30, 2023 | 5.26 Mn |
| Mar 31, 2023 | 5.60 Mn |
| Dec 31, 2022 | 5.93 Mn |
| Sep 30, 2022 | 6.07 Mn |
| Jun 30, 2022 | 5.28 Mn |
| Mar 31, 2022 | 4.74 Mn |
| Dec 31, 2021 | 5.26 Mn |
| Sep 30, 2021 | 5.50 Mn |
API Access
Pdf Solutions Operating Leases 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=operating-leases&ticker=PDFS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=PDFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();