Pdf Solutions (PDFS) Restructuring Costs (2010 - 2020)
Pdf Solutions' Restructuring Costs was $700,000 in Q1 2020, up 660.9% from $92,000 a year earlier.
Analysis
Pdf Solutions (PDFS) Restructuring Costs (2010 - 2020) Analysis & Trends
For FY2019, Restructuring Costs at Pdf Solutions came in at $92,000, down 84.0% from FY2018.
- Restructuring Costs shows a five-year compound annual growth rate of 10.0% (FY2014 to FY2019).
- In earlier years, Restructuring Costs was $576,000 in FY2018.
- The Q1 2020 figure marks the highest quarterly Restructuring Costs since Q4 2012.
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 |
|---|---|
| Mar 31, 2020 | 700,000.00 |
| Mar 31, 2019 | 92,000.00 |
| Mar 31, 2014 | 57,000.00 |
| Dec 31, 2013 | 232,000.00 |
| Sep 30, 2013 | 8,000.00 |
| Jun 30, 2013 | 9,000.00 |
| Mar 31, 2013 | -52,000.00 |
| Dec 31, 2012 | 1.81 Mn |
| Jun 30, 2012 | 91,000.00 |
| Mar 31, 2012 | -8,000.00 |
| Dec 31, 2011 | 19,000.00 |
| Sep 30, 2011 | 4,000.00 |
| Jun 30, 2011 | -122,000.00 |
| Mar 31, 2011 | -11,000.00 |
| Dec 31, 2010 | 614,000.00 |
| Sep 30, 2010 | 303,000.00 |
| Jun 30, 2010 | -33,000.00 |
API Access
Pdf Solutions Restructuring Costs 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=restructuring-costs&ticker=PDFS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=PDFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();