Cognizant Technology Solutions (CTSH) Accumulated Expenses (2009 - 2026)
Cognizant Technology Solutions' (CTSH) quarterly Accumulated Expenses came in at $2.4 billion in Q2 2026, up 8.45% year-over-year from $2.2 billion in Q2 2025, and up 1.46% quarter-over-quarter from $2.4 billion in Q1 2026.
Cognizant Technology Solutions (CTSH) Accumulated Expenses (2009 - 2026) Analysis & Trends
Cognizant Technology Solutions (CTSH) has reported Accumulated Expenses for 18 consecutive years, with $2.4 billion the latest figure, recorded in Q2 2026.
- On a quarterly basis, Accumulated Expenses rose 8.45% year-over-year to $2.4 billion in Q2 2026; TTM through Jun 2026 was $2.4 billion, a 8.45% increase from a year earlier, with the FY2025 full-year figure at $2.7 billion, up 2.07% from the prior year.
- Accumulated Expenses was $2.4 billion for Q2 2026 at Cognizant Technology Solutions, up from $2.4 billion in the prior quarter.
- Over five years, Accumulated Expenses peaked at $2.7 billion in Q4 2025 and troughed at $2.1 billion in Q2 2024.
- A 5-year average of $2.4 billion and a median of $2.4 billion in 2023 frame the typical range for Accumulated Expenses.
- Across the five-year window, Accumulated Expenses fell 10.08% in 2024 and gained 13.22% in 2025, its largest moves.
- Over 5 years, Accumulated Expenses stood at $2.4 billion in 2022, then climbed by 0.75% to $2.4 billion in 2023, then increased by 7.63% to $2.6 billion in 2024, then gained by 2.07% to $2.7 billion in 2025, then slipped by 8.45% to $2.4 billion in 2026.
- The last three Accumulated Expenses figures came in at $2.4 billion (Q2 2026), $2.4 billion (Q1 2026), and $2.7 billion (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 44.17 Bn | 44.22 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 26.84 Bn | 25.79 Bn | 1.83 Bn |
| 3 | Cgi | 13.60 Bn | 13.02 Bn | - |
| 4 | EPAM Systems | 5.82 Bn | 5.04 Bn | 429.57 Mn |
| 5 | Science Applications International | 5.60 Bn | 5.47 Bn | 239.00 Mn |
| 6 | ExlService Holdings | 5.35 Bn | 5.07 Bn | 225.96 Mn |
| 7 | Kyndryl Holdings | 2.65 Bn | 639.03 Mn | 776.00 Mn |
| 8 | Innodata | 2.10 Bn | 1.85 Bn | 42.46 Mn |
| 9 | Formula Systems (1985) | 1.83 Bn | 1.41 Bn | 158.43 Mn |
| 10 | DXC Technology | 1.74 Bn | 9.39 Mn | 611.00 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();