Cognizant Technology Solutions (CTSH) Restructuring Costs (2018 - 2026)
Cognizant Technology Solutions' Restructuring Costs was $84 million in Q2 2026.
Analysis
Cognizant Technology Solutions (CTSH) Restructuring Costs (2018 - 2026) Analysis & Trends
For FY2024, Restructuring Costs at Cognizant Technology Solutions came in at $134 million, down 41.5% from FY2023.
- Restructuring Costs shows a five-year compound annual growth rate of -9.2% (FY2019 to FY2024).
- In earlier years, Restructuring Costs was $229 million in FY2023 and $215 million in FY2020 (-0.9%).
- The Q2 2026 figure marks the highest quarterly Restructuring Costs since Q2 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 50.24 Bn | 36.74 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 31.12 Bn | 24.28 Bn | 1.83 Bn |
| 3 | Wipro | 20.11 Bn | 14.81 Bn | 738.00 Mn |
| 4 | Td Synnex | 19.66 Bn | 13.82 Bn | 1.43 Bn |
| 5 | Cdw | 19.39 Bn | 17.38 Bn | 1.32 Bn |
| 6 | Cgi | 16.87 Bn | 14.67 Bn | - |
| 7 | Arrow Electronics | 11.10 Bn | 10.05 Bn | 1.13 Bn |
| 8 | Avnet | 7.54 Bn | 6.72 Bn | 865.03 Mn |
| 9 | EPAM Systems | 6.64 Bn | 2.28 Bn | 429.57 Mn |
| 10 | Ingram Micro Holding | 6.19 Bn | 1.79 Bn | 958.68 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 84.00 Mn |
| Dec 31, 2024 | 49.00 Mn |
| Sep 30, 2024 | 33.00 Mn |
| Jun 30, 2024 | 29.00 Mn |
| Mar 31, 2024 | 23.00 Mn |
| Dec 31, 2023 | 40.00 Mn |
| Sep 30, 2023 | 72.00 Mn |
| Jun 30, 2023 | 117.00 Mn |
| Dec 31, 2020 | 38.00 Mn |
| Sep 30, 2020 | 51.00 Mn |
| Jun 30, 2020 | 71.00 Mn |
| Mar 31, 2020 | 55.00 Mn |
| Dec 31, 2019 | 101.00 Mn |
| Sep 30, 2019 | 65.00 Mn |
| Jun 30, 2019 | 49.00 Mn |
| Mar 31, 2019 | 2.00 Mn |
| Dec 31, 2018 | 7.00 Mn |
| Sep 30, 2018 | 11.00 Mn |
| Mar 31, 2018 | 1.00 Mn |
API Access
Cognizant Technology Solutions 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=CTSH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "ticker": "CTSH", "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=CTSH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();