Cognizant Technology Solutions (CTSH) Accumulated Expenses (2009 - 2026)
Cognizant Technology Solutions (CTSH) reported Accumulated Expenses of $2.44 billion for Q2 2026, up 8.4% from $2.25 billion a year earlier and up 1.5% from the prior quarter.
Cognizant Technology Solutions (CTSH) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Cognizant Technology Solutions posted Accumulated Expenses of $2.66 billion, up 2.1% from FY2024.
- Accumulated Expenses has increased for three consecutive years, with a five-year compound annual growth rate of 1.1% (FY2020 to FY2025).
- By year, Accumulated Expenses came in at $2.61 billion in FY2024 (+7.6%), $2.43 billion in FY2023 (+0.7%), $2.41 billion in FY2022 (-4.9%) and $2.53 billion in FY2021 (+0.5%).
- Five-year quarterly Accumulated Expenses spans a low of $2.08 billion in Q2 2024 and a high of $2.66 billion in Q4 2025.
- Year over year, Accumulated Expenses has now increased in each of the last eight quarters, with growth averaging 6.2% over the last eight quarters.
- The high point for year-over-year Accumulated Expenses in five years was Q1 2025 (growth of 13.2%); the low point was Q1 2024 (a decline of 10.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $2.4 billion (Q1 2026), $2.66 billion (Q4 2025) and $2.58 billion (Q3 2025).
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
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.44 Bn |
| Mar 31, 2026 | 2.40 Bn |
| Dec 31, 2025 | 2.66 Bn |
| Sep 30, 2025 | 2.58 Bn |
| Jun 30, 2025 | 2.25 Bn |
| Mar 31, 2025 | 2.37 Bn |
| Dec 31, 2024 | 2.61 Bn |
| Sep 30, 2024 | 2.50 Bn |
| Jun 30, 2024 | 2.08 Bn |
| Mar 31, 2024 | 2.10 Bn |
| Dec 31, 2023 | 2.43 Bn |
| Sep 30, 2023 | 2.37 Bn |
| Jun 30, 2023 | 2.16 Bn |
| Mar 31, 2023 | 2.33 Bn |
| Dec 31, 2022 | 2.41 Bn |
| Sep 30, 2022 | 2.34 Bn |
| Jun 30, 2022 | 2.17 Bn |
| Mar 31, 2022 | 2.11 Bn |
| Dec 31, 2021 | 2.53 Bn |
| Sep 30, 2021 | 2.42 Bn |
Cognizant Technology Solutions Accumulated Expenses 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=accumulated-expenses&ticker=CTSH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=CTSH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();