Cognizant Technology Solutions (CTSH) Accumulated Expenses (2009 - 2026)
Cognizant Technology Solutions (CTSH) reported Accumulated Expenses of $2.7 billion for Q3 2026, up 4.8% from $2.58 billion a year earlier and up 10.7% from the prior quarter.
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Analysis
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%).
- The Q3 2026 figure ranks as the highest quarterly Accumulated Expenses in data going back to Q2 2009.
- Year over year, Accumulated Expenses has now increased in each of the last nine quarters, with growth averaging 6.1% 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 Q3 2026 came in at $2.44 billion (Q2 2026), $2.4 billion (Q1 2026) and $2.66 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 51.35 Bn | -77.91 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 30.16 Bn | 24.12 Bn | 1.91 Bn |
| 3 | Wipro | 22.58 Bn | 17.72 Bn | 745.00 Mn |
| 4 | Cdw | 19.64 Bn | 16.54 Bn | 1.39 Bn |
| 5 | Cgi | 18.54 Bn | 16.34 Bn | - |
| 6 | Td Synnex | 17.34 Bn | 11.50 Bn | 1.43 Bn |
| 7 | Arrow Electronics | 9.29 Bn | 8.24 Bn | 1.13 Bn |
| 8 | EPAM Systems | 8.17 Bn | 4.08 Bn | 445.94 Mn |
| 9 | ExlService Holdings | 6.55 Bn | 5.35 Bn | 241.14 Mn |
| 10 | Avnet | 6.53 Bn | 5.71 Bn | 865.03 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.70 Bn |
| 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 |
API Access
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_KEYimport 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();