Pdf Solutions (PDFS) Tax Provisions (2010 - 2026)
Pdf Solutions (PDFS) recorded Tax Provisions of $353,000 in Q2 2026, compared with -$1.08 million a year earlier and down 65.6% from the prior quarter.
Powered by 
Analysis
Pdf Solutions (PDFS) Tax Provisions (2010 - 2026) Analysis & Trends
On a TTM basis, Pdf Solutions' Tax Provisions came in at $6.21 million as of Jun 30, 2026, up 375.3% year-over-year; for FY2025, it was $3.84 million, up 52.3% from FY2024.
- Annual Tax Provisions has a five-year compound annual growth rate of -29.7% (FY2020 to FY2025).
- Across earlier years, Tax Provisions came in at $2.52 million in FY2024 (+43.0%), $1.76 million in FY2023 (-54.8%), $3.9 million in FY2022 (+23.0%) and $3.17 million in FY2021 (-85.8%).
- Quarterly Tax Provisions has ranged from -$3.89 million in Q2 2023 to $6.01 million in Q3 2023 over the past five years.
- On a year-over-year basis, Tax Provisions rose in two of the last four quarters, with growth averaging 23.2%.
- Peak year-over-year performance for Tax Provisions in the last five years was growth of 636.9% in Q3 2023, against a decline of 93.9% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.03 million (Q1 2026), $2.64 million (Q4 2025) and $2.19 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,503.96 Bn | 5,278.12 Bn | 72.14 Bn | 11.82 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,366.45 Bn | 1,992.15 Bn | 27.22 Bn | 4.92 Bn |
| 3 | Broadcom | 1,676.58 Bn | 1,602.63 Bn | 20.46 Bn | 2.19 Bn |
| 4 | Micron Technology | 1,202.51 Bn | 1,141.27 Bn | 35.06 Bn | 4.98 Bn |
| 5 | Advanced Micro Devices | 998.39 Bn | 955.14 Bn | 6.20 Bn | 252.00 Mn |
| 6 | Asml Holding | 698.25 Bn | 654.08 Bn | 5.90 Bn | - |
| 7 | Intel | 606.32 Bn | 491.05 Bn | 6.51 Bn | 29.00 Mn |
| 8 | Lam Research | 411.06 Bn | 387.85 Bn | 3.48 Bn | 277.86 Mn |
| 9 | Applied Materials | 405.83 Bn | 371.27 Bn | 4.59 Bn | 369.00 Mn |
| 10 | Pdf Solutions | 2.14 Bn | 1.91 Bn | 42.42 Mn | 353,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 353,000.00 |
| Mar 31, 2026 | 1.03 Mn |
| Dec 31, 2025 | 2.64 Mn |
| Sep 30, 2025 | 2.19 Mn |
| Jun 30, 2025 | -1.08 Mn |
| Mar 31, 2025 | 36,000.00 |
| Dec 31, 2024 | 922,000.00 |
| Sep 30, 2024 | 1.42 Mn |
| Jun 30, 2024 | 38,000.00 |
| Mar 31, 2024 | 125,000.00 |
| Dec 31, 2023 | -744,000.00 |
| Sep 30, 2023 | 6.01 Mn |
| Jun 30, 2023 | -3.89 Mn |
| Mar 31, 2023 | 400,000.00 |
| Dec 31, 2022 | 591,000.00 |
| Sep 30, 2022 | 815,000.00 |
| Jun 30, 2022 | 1.31 Mn |
| Mar 31, 2022 | 1.20 Mn |
| Dec 31, 2021 | 1.62 Mn |
| Sep 30, 2021 | 506,000.00 |
API Access
Pdf Solutions Tax Provisions 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=tax-provisions&ticker=PDFS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=PDFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();