Pdf Solutions (PDFS) Cost of Revenue (2010 - 2026)
Pdf Solutions' Cost of Revenue came in at $19.11 million for Q2 2026, up 28.4% from $14.89 million a year earlier and up 12.8% from the prior quarter.
Powered by 
Analysis
Pdf Solutions (PDFS) Cost of Revenue (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Pdf Solutions reported Cost of Revenue of $68.83 million, up 22.4% year-over-year; for FY2025, it came in at $60.62 million, up 12.0% from FY2024.
- Cost of Revenue has increased in each of the last six years, with a five-year compound annual growth rate of 10.5% (FY2020 to FY2025).
- Going back by year, Cost of Revenue was $54.14 million in FY2024 (+4.6%), $51.75 million in FY2023 (+8.0%), $47.91 million in FY2022 (+8.4%) and $44.19 million in FY2021 (+20.2%).
- The Q2 2026 figure represents the highest quarterly Cost of Revenue in data going back to Q2 2010.
- Year-over-year, Cost of Revenue has increased for five consecutive quarters, with growth averaging 14.7% over the last eight quarters.
- The fastest year-over-year change in Cost of Revenue over five years came in Q1 2026 (growth of 30.7%), and the weakest in Q3 2024 (a decline of 12.6%).
- Business Quant data shows PDFS's Cost of Revenue at $16.94 million (Q1 2026), $16.94 million (Q4 2025) and $15.84 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 24.08 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 12.97 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 9.14 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 6.40 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 5.33 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | 5.41 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 9.62 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 3.24 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 4.53 Bn |
| 10 | Pdf Solutions | 2.32 Bn | 2.10 Bn | 42.42 Mn | 19.11 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 19.11 Mn |
| Mar 31, 2026 | 16.94 Mn |
| Dec 31, 2025 | 16.94 Mn |
| Sep 30, 2025 | 15.84 Mn |
| Jun 30, 2025 | 14.89 Mn |
| Mar 31, 2025 | 12.96 Mn |
| Dec 31, 2024 | 15.90 Mn |
| Sep 30, 2024 | 12.48 Mn |
| Jun 30, 2024 | 12.23 Mn |
| Mar 31, 2024 | 13.53 Mn |
| Dec 31, 2023 | 13.19 Mn |
| Sep 30, 2023 | 14.28 Mn |
| Jun 30, 2023 | 12.37 Mn |
| Mar 31, 2023 | 11.90 Mn |
| Dec 31, 2022 | 11.79 Mn |
| Sep 30, 2022 | 12.55 Mn |
| Jun 30, 2022 | 12.04 Mn |
| Mar 31, 2022 | 11.53 Mn |
| Dec 31, 2021 | 11.68 Mn |
| Sep 30, 2021 | 11.07 Mn |
API Access
Pdf Solutions Cost of Revenue 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=cost-of-revenue&ticker=PDFS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=PDFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();