Chegg (CHGG) Restructuring Costs (2015 - 2019)
Chegg (CHGG) reported Restructuring Costs of $97,000 for FY2019, down 83.5% from $589,000 in FY2018.
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Analysis
Chegg (CHGG) Restructuring Costs (2015 - 2019) Analysis & Trends
Dating back to FY2015, Chegg's Restructuring Costs record includes 5 years.
- Restructuring Costs has a four-year compound annual growth rate of -62.4% (FY2015 to FY2019).
- The FY2019 figure ranks as the lowest annual Restructuring Costs since FY2016.
- According to Business Quant data, Restructuring Costs came in at $589,000 in FY2018 (-43.7%), $1.05 million in FY2017, -$423,000 in FY2016 and $4.87 million in FY2015.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn |
| 10 | Chegg | 78.75 Mn | -81.21 Mn | 28.28 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2019 | 28,000.00 |
| Jun 30, 2019 | 47,000.00 |
| Mar 31, 2019 | 22,000.00 |
| Dec 31, 2018 | 300,000.00 |
| Sep 30, 2018 | 17,000.00 |
| Jun 30, 2018 | 15,000.00 |
| Mar 31, 2018 | 220,000.00 |
| Dec 31, 2017 | 24,000.00 |
| Sep 30, 2017 | 64,000.00 |
| Jun 30, 2017 | 59,000.00 |
| Mar 31, 2017 | 900,000.00 |
| Dec 31, 2016 | -100,000.00 |
| Sep 30, 2016 | -100,000.00 |
| Jun 30, 2016 | -200,000.00 |
| Mar 31, 2016 | -44,000.00 |
| Dec 31, 2015 | 1.60 Mn |
| Sep 30, 2015 | 300,000.00 |
| Jun 30, 2015 | 500,000.00 |
| Mar 31, 2015 | 2.50 Mn |
API Access
Chegg 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=CHGG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "ticker": "CHGG", "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=CHGG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();