ExlService Holdings (EXLS) Restructuring Costs (2018 - 2019)
ExlService Holdings' Restructuring Costs was $1.38 million in Q4 2019, down 93.1% from $20.06 million a year earlier but up 181.2% from the prior quarter.
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Analysis
ExlService Holdings (EXLS) Restructuring Costs (2018 - 2019) Analysis & Trends
For FY2019, Restructuring Costs at ExlService Holdings came in at $8.67 million, down 56.8% from FY2018.
- In earlier years, Restructuring Costs was $20.06 million in FY2018.
- Quarterly Restructuring Costs has moved between $489,000 (Q3 2019) and $20.06 million (Q4 2018) over five years.
- Per Business Quant data, EXLS's Restructuring Costs in the three quarters before Q4 2019 was $489,000 (Q3 2019), $5.58 million (Q2 2019) and $1.23 million (Q1 2019).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 50.81 Bn | -78.45 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 29.66 Bn | 23.62 Bn | 1.91 Bn |
| 3 | Wipro | 22.47 Bn | 17.61 Bn | 745.00 Mn |
| 4 | Cdw | 20.57 Bn | 17.47 Bn | 1.39 Bn |
| 5 | Cgi | 18.42 Bn | 16.22 Bn | - |
| 6 | Td Synnex | 18.09 Bn | 12.24 Bn | 1.43 Bn |
| 7 | Arrow Electronics | 9.84 Bn | 8.79 Bn | 1.13 Bn |
| 8 | EPAM Systems | 8.02 Bn | 3.93 Bn | 445.94 Mn |
| 9 | Avnet | 6.99 Bn | 6.17 Bn | 865.03 Mn |
| 10 | ExlService Holdings | 6.58 Bn | 5.38 Bn | 241.14 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2019 | 1.38 Mn |
| Sep 30, 2019 | 489,000.00 |
| Jun 30, 2019 | 5.58 Mn |
| Mar 31, 2019 | 1.23 Mn |
| Dec 31, 2018 | 20.06 Mn |
API Access
ExlService Holdings 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=EXLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "ticker": "EXLS", "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=EXLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();