Ci&T (CINT) Intangibles (2020 - 2023)
Ci&T's Intangibles came in at $55.96 million for the quarter ended Dec 31, 2023, down 7.4% from $60.45 million a year earlier.
Analysis
Ci&T (CINT) Intangibles (2020 - 2023) Analysis & Trends
As of Dec 31, 2023, Ci&T's Intangibles was $55.52 million, down 10.0% from the prior year.
- Intangibles carries a three-year compound annual growth rate of 149.7% (years ended Dec 2020 to Dec 2023).
- Going back by year, Intangibles was $61.71 million in the year ended Dec 31, 2022 (+178.5%), $22.16 million in the year ended Dec 31, 2021 (+521.5%) and $3.57 million in the year ended Dec 31, 2020.
- The figure for the quarter ended Dec 31, 2023 represents the lowest quarterly Intangibles since the quarter ended Dec 31, 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 54.31 Bn | 40.81 Bn | 1.60 Bn | 486.00 Mn |
| 2 | Cognizant Technology Solutions | 34.21 Bn | 27.38 Bn | 1.83 Bn | 1.68 Bn |
| 3 | Wipro | 23.10 Bn | 18.24 Bn | 745.00 Mn | 518.00 Mn |
| 4 | Cdw | 20.71 Bn | 18.70 Bn | 1.32 Bn | 1.10 Bn |
| 5 | Td Synnex | 19.59 Bn | 13.75 Bn | 1.43 Bn | 3.56 Bn |
| 6 | Cgi | 18.32 Bn | 16.12 Bn | - | 575.12 Mn |
| 7 | Arrow Electronics | 10.68 Bn | 9.63 Bn | 1.13 Bn | 67.51 Mn |
| 8 | Avnet | 7.26 Bn | 6.44 Bn | 865.03 Mn | - |
| 9 | EPAM Systems | 7.20 Bn | 2.84 Bn | 429.57 Mn | 372.97 Mn |
| 10 | Ci&T | 407.52 Mn | 214.81 Mn | 44.40 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 57.12 Mn |
| Dec 31, 2022 | 60.18 Mn |
| Mar 31, 2022 | 220.14 Mn |
| Dec 31, 2021 | 21.42 Mn |
| Sep 30, 2021 | 137.74 Mn |
| Dec 31, 2020 | 692,758.92 |
API Access
Ci&T Intangibles 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=intangibles&ticker=CINT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=CINT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();