Pdf Solutions (PDFS) Amortization of Deferred Charges (2018 - 2026)
Pdf Solutions (PDFS) reported Amortization of Deferred Charges of $706,000 for Q2 2026, up 13.0% from $625,000 a year earlier but down 7.0% from the prior quarter.
Pdf Solutions (PDFS) Amortization of Deferred Charges (2018 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Pdf Solutions' Amortization of Deferred Charges came in at $3.12 million, up 7.8% year-over-year; for FY2025, it came in at $3.16 million, up 18.0% from FY2024.
- Amortization of Deferred Charges has a five-year compound annual growth rate of 41.9% (FY2020 to FY2025).
- By year, Amortization of Deferred Charges came in at $2.67 million in FY2024 (+24.8%), $2.14 million in FY2023 (-38.5%), $3.48 million in FY2022 (+4.5%) and $3.33 million in FY2021 (+507.3%).
- Five-year quarterly Amortization of Deferred Charges spans a low of -$517,000 in Q4 2023 and a high of $2.83 million in Q4 2021.
- Year over year, Amortization of Deferred Charges gained in five of the last seven quarters, with growth averaging 8.9%.
- The high point for year-over-year Amortization of Deferred Charges in five years was Q1 2023 (growth of 339.0%); the low point was Q4 2022 (a decline of 69.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $759,000 (Q1 2026), $938,000 (Q4 2025) and $720,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn |
| 10 | Pdf Solutions | 2.32 Bn | 2.10 Bn | 42.42 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 706,000.00 |
| Mar 31, 2026 | 759,000.00 |
| Dec 31, 2025 | 938,000.00 |
| Sep 30, 2025 | 720,000.00 |
| Jun 30, 2025 | 625,000.00 |
| Mar 31, 2025 | 872,000.00 |
| Dec 31, 2024 | 733,000.00 |
| Sep 30, 2024 | 667,000.00 |
| Jun 30, 2024 | 640,000.00 |
| Mar 31, 2024 | 843,000.00 |
| Dec 31, 2023 | -517,000.00 |
| Sep 30, 2023 | 532,000.00 |
| Jun 30, 2023 | 506,000.00 |
| Mar 31, 2023 | 878,000.00 |
| Dec 31, 2022 | 879,000.00 |
| Sep 30, 2022 | 400,000.00 |
| Jun 30, 2022 | 600,000.00 |
| Mar 31, 2022 | 200,000.00 |
| Dec 31, 2021 | 2.83 Mn |
| Sep 30, 2021 | 200,000.00 |
Pdf Solutions Amortization of Deferred Charges 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=amortization-of-deferred-charges&ticker=PDFS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-of-deferred-charges", "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=amortization-of-deferred-charges&ticker=PDFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();