Ci&T (CINT) Cash from Restructuring (2023 - 2024)
Analysis
Ci&T (CINT) Cash from Restructuring (2023 - 2024) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 52.25 Bn | 38.75 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 32.29 Bn | 25.45 Bn | 1.83 Bn |
| 3 | Wipro | 22.37 Bn | 17.51 Bn | 745.00 Mn |
| 4 | Cdw | 20.08 Bn | 18.07 Bn | 1.32 Bn |
| 5 | Td Synnex | 20.01 Bn | 14.17 Bn | 1.43 Bn |
| 6 | Cgi | 17.71 Bn | 15.51 Bn | - |
| 7 | Arrow Electronics | 11.23 Bn | 10.17 Bn | 1.13 Bn |
| 8 | Avnet | 7.63 Bn | 6.81 Bn | 865.03 Mn |
| 9 | EPAM Systems | 6.97 Bn | 2.60 Bn | 429.57 Mn |
| 10 | Ci&T | 407.52 Mn | 214.81 Mn | 44.40 Mn |
API Access
Ci&T Cash from Restructuring 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=cash-from-restructuring&ticker=CINT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-restructuring", "ticker": "CINT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=cash-from-restructuring&ticker=CINT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();