Ci&T (CINT) Restructuring Costs (2021 - 2024)
Ci&T's Restructuring Costs came in at $808,000 for the quarter ended Dec 31, 2024, down 78.2% from $3.7 million a year earlier.
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Analysis
Ci&T (CINT) Restructuring Costs (2021 - 2024) Analysis & Trends
Going back to the quarter ended Dec 31, 2021, Ci&T's Restructuring Costs data covers 8 quarters.
- Restructuring Costs carries a three-year compound annual growth rate of -14.5% (years ended Dec 2021 to Dec 2024).
- Going back by year, Restructuring Costs was $3.67 million in the year ended Dec 31, 2023 (-57.6%), $8.66 million in the year ended Dec 31, 2022 (+570.7%) and $1.29 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Dec 31, 2024 represents the lowest quarterly Restructuring Costs since the quarter ended Jun 30, 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 42.66 Bn | 42.72 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 25.65 Bn | 18.82 Bn | 1.83 Bn |
| 3 | Td Synnex | 20.51 Bn | 14.54 Bn | 1.34 Bn |
| 4 | Cdw | 16.33 Bn | 14.32 Bn | 1.32 Bn |
| 5 | Cgi | 15.07 Bn | 12.85 Bn | - |
| 6 | Arrow Electronics | 11.72 Bn | 10.75 Bn | 1.13 Bn |
| 7 | Avnet | 8.33 Bn | 7.51 Bn | 865.03 Mn |
| 8 | Ingram Micro Holding | 6.23 Bn | 1.84 Bn | 958.68 Mn |
| 9 | EPAM Systems | 5.55 Bn | 1.19 Bn | 429.57 Mn |
| 10 | Ci&T | 386.24 Mn | 193.53 Mn | 44.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | 808,000.00 |
| Dec 31, 2023 | 3.70 Mn |
| Jun 30, 2023 | 800,626.67 |
| Mar 31, 2023 | 409,034.38 |
| Dec 31, 2022 | 8.49 Mn |
| Jun 30, 2022 | 3.03 Mn |
| Mar 31, 2022 | 515,667.55 |
| Dec 31, 2021 | 839,037.57 |
API Access
Ci&T 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=CINT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=CINT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();