Pdf Solutions (PDFS) Receivables (2010 - 2026)
Pdf Solutions (PDFS) recorded Receivables of $137.08 million in Q2 2026, up 39.1% from $98.56 million a year earlier but down 5.3% from the prior quarter.
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Analysis
Pdf Solutions (PDFS) Receivables (2010 - 2026) Analysis & Trends
At the end of FY2025, Pdf Solutions reported Receivables of $127.74 million, up 32.2% from FY2024.
- Annual Receivables has increased for five straight years, with a five-year compound annual growth rate of 25.3% (FY2020 to FY2025).
- Across earlier years, Receivables came in at $96.65 million in FY2024 (+24.4%), $77.7 million in FY2023 (+39.6%), $55.66 million in FY2022 (+7.3%) and $51.89 million in FY2021 (+25.5%).
- Quarterly Receivables has ranged from $42.28 million in Q3 2021 to $144.72 million in Q1 2026 over the past five years.
- On a year-over-year basis, Receivables has increased for eight consecutive quarters, with growth averaging 35.5% over the last eight quarters.
- Peak year-over-year performance for Receivables in the last five years was growth of 110.3% in Q2 2023, against a decline of 20.9% in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $144.72 million (Q1 2026), $94.21 million (Q4 2025) and $114.75 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,515.53 Bn | 5,289.69 Bn | 72.14 Bn | 63.30 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,348.76 Bn | 1,974.46 Bn | 27.22 Bn | 13.95 Bn |
| 3 | Broadcom | 1,668.85 Bn | 1,594.89 Bn | 20.46 Bn | 20.89 Bn |
| 4 | Micron Technology | 1,189.94 Bn | 1,128.71 Bn | 35.06 Bn | 31.23 Bn |
| 5 | Advanced Micro Devices | 992.04 Bn | 948.79 Bn | 6.20 Bn | 7.28 Bn |
| 6 | Asml Holding | 682.73 Bn | 638.57 Bn | 5.90 Bn | 4.03 Bn |
| 7 | Intel | 585.14 Bn | 469.87 Bn | 6.51 Bn | 4.03 Bn |
| 8 | Lam Research | 393.49 Bn | 370.29 Bn | 3.48 Bn | 5.34 Bn |
| 9 | Applied Materials | 386.29 Bn | 351.73 Bn | 4.59 Bn | 7.69 Bn |
| 10 | Pdf Solutions | 2.08 Bn | 1.86 Bn | 42.42 Mn | 137.08 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 137.08 Mn |
| Mar 31, 2026 | 144.72 Mn |
| Dec 31, 2025 | 94.21 Mn |
| Sep 30, 2025 | 114.75 Mn |
| Jun 30, 2025 | 98.56 Mn |
| Mar 31, 2025 | 90.68 Mn |
| Dec 31, 2024 | 78.18 Mn |
| Sep 30, 2024 | 67.37 Mn |
| Jun 30, 2024 | 74.91 Mn |
| Mar 31, 2024 | 64.67 Mn |
| Dec 31, 2023 | 77.70 Mn |
| Sep 30, 2023 | 55.26 Mn |
| Jun 30, 2023 | 94.65 Mn |
| Mar 31, 2023 | 63.15 Mn |
| Dec 31, 2022 | 45.46 Mn |
| Sep 30, 2022 | 64.78 Mn |
| Jun 30, 2022 | 45.02 Mn |
| Mar 31, 2022 | 48.55 Mn |
| Dec 31, 2021 | 51.89 Mn |
| Sep 30, 2021 | 42.28 Mn |
API Access
Pdf Solutions Receivables 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&ticker=PDFS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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&ticker=PDFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();