Pdf Solutions (PDFS) Receivables - Net (2010 - 2026)
Pdf Solutions (PDFS) recorded Receivables - Net of $90.58 million in Q2 2026, up 30.8% from $69.26 million a year earlier but down 5.7% from the prior quarter.
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Analysis
Pdf Solutions (PDFS) Receivables - Net (2010 - 2026) Analysis & Trends
At the end of FY2025, Pdf Solutions reported Receivables - Net of $82.94 million, up 12.6% from FY2024.
- Annual Receivables - Net has increased for five straight years, with a five-year compound annual growth rate of 19.4% (FY2020 to FY2025).
- Across earlier years, Receivables - Net came in at $73.65 million in FY2024 (+64.0%), $44.9 million in FY2023 (+6.5%), $42.16 million in FY2022 (+5.2%) and $40.09 million in FY2021 (+17.4%).
- Quarterly Receivables - Net has ranged from $33.68 million in Q3 2021 to $96.02 million in Q1 2026 over the past five years.
- On a year-over-year basis, Receivables - Net has increased for eight consecutive quarters, with growth averaging 36.3% over the last eight quarters.
- Peak year-over-year performance for Receivables - Net in the last five years was growth of 70.1% in Q2 2023, against a decline of 25.5% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $96.02 million (Q1 2026), $82.94 million (Q4 2025) and $74.95 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 | 90.58 Mn |
| Mar 31, 2026 | 96.02 Mn |
| Dec 31, 2025 | 82.94 Mn |
| Sep 30, 2025 | 74.95 Mn |
| Jun 30, 2025 | 69.26 Mn |
| Mar 31, 2025 | 63.68 Mn |
| Dec 31, 2024 | 73.65 Mn |
| Sep 30, 2024 | 46.67 Mn |
| Jun 30, 2024 | 56.41 Mn |
| Mar 31, 2024 | 47.27 Mn |
| Dec 31, 2023 | 44.90 Mn |
| Sep 30, 2023 | 40.96 Mn |
| Jun 30, 2023 | 61.45 Mn |
| Mar 31, 2023 | 47.05 Mn |
| Dec 31, 2022 | 42.16 Mn |
| Sep 30, 2022 | 54.98 Mn |
| Jun 30, 2022 | 36.12 Mn |
| Mar 31, 2022 | 37.75 Mn |
| Dec 31, 2021 | 40.09 Mn |
| Sep 30, 2021 | 33.68 Mn |
API Access
Pdf Solutions Receivables - Net 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=receivables-net&ticker=PDFS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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=receivables-net&ticker=PDFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();