Cognizant Technology Solutions (CTSH) Property, Plant & Equipment (Net) (2009 - 2026)
Cognizant Technology Solutions' Property, Plant & Equipment (Net) came in at $981 million for Q2 2026, up 0.5% from $976 million a year earlier and up 2.7% from the prior quarter.
Cognizant Technology Solutions (CTSH) Property, Plant & Equipment (Net) (2009 - 2026) Analysis & Trends
At the end of FY2025, Cognizant Technology Solutions' Property, Plant & Equipment (Net) was $933 million, down 6.1% from FY2024.
- Property, Plant & Equipment (Net) has declined in each of the last seven years, with a five-year compound annual growth rate of -5.7% (FY2020 to FY2025).
- Going back by year, Property, Plant & Equipment (Net) was $994 million in FY2024 (-5.2%), $1.05 billion in FY2023 (-4.8%), $1.1 billion in FY2022 (-6.0%) and $1.17 billion in FY2021 (-6.4%).
- The Q2 2026 figure represents the highest quarterly Property, Plant & Equipment (Net) since Q1 2025.
- Year-over-year, Property, Plant & Equipment (Net) increased in 1 of the last eight quarters, with an average decline of 4.0%.
- The fastest year-over-year change in Property, Plant & Equipment (Net) over five years came in Q2 2026 (growth of 0.5%), and the weakest in Q3 2021 (a decline of 10.2%).
- Business Quant data shows CTSH's Property, Plant & Equipment (Net) at $955 million (Q1 2026), $933 million (Q4 2025) and $949 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 49.92 Bn | 42.11 Bn | 1.60 Bn | 130.71 Bn |
| 2 | Cognizant Technology Solutions | 31.88 Bn | 25.05 Bn | 1.83 Bn | 981.00 Mn |
| 3 | Wipro | 22.24 Bn | 17.40 Bn | 745.00 Mn | 851.00 Mn |
| 4 | Cdw | 20.69 Bn | 18.68 Bn | 1.32 Bn | 166.00 Mn |
| 5 | Td Synnex | 19.74 Bn | 13.90 Bn | 1.43 Bn | 565.11 Mn |
| 6 | Cgi | 18.25 Bn | 16.05 Bn | - | 253.96 Mn |
| 7 | Arrow Electronics | 10.68 Bn | 9.70 Bn | 1.13 Bn | 460.82 Mn |
| 8 | Avnet | 7.23 Bn | 6.41 Bn | 865.03 Mn | 644.60 Mn |
| 9 | EPAM Systems | 7.03 Bn | 2.67 Bn | 429.57 Mn | 204.97 Mn |
| 10 | Ingram Micro Holding | 6.51 Bn | 2.12 Bn | 958.68 Mn | 527.97 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 981.00 Mn |
| Mar 31, 2026 | 955.00 Mn |
| Dec 31, 2025 | 933.00 Mn |
| Sep 30, 2025 | 949.00 Mn |
| Jun 30, 2025 | 976.00 Mn |
| Mar 31, 2025 | 988.00 Mn |
| Dec 31, 2024 | 994.00 Mn |
| Sep 30, 2024 | 1.00 Bn |
| Jun 30, 2024 | 1.01 Bn |
| Mar 31, 2024 | 1.04 Bn |
| Dec 31, 2023 | 1.05 Bn |
| Sep 30, 2023 | 1.05 Bn |
| Jun 30, 2023 | 1.09 Bn |
| Mar 31, 2023 | 1.10 Bn |
| Dec 31, 2022 | 1.10 Bn |
| Sep 30, 2022 | 1.11 Bn |
| Jun 30, 2022 | 1.12 Bn |
| Mar 31, 2022 | 1.17 Bn |
| Dec 31, 2021 | 1.17 Bn |
| Sep 30, 2021 | 1.18 Bn |
Cognizant Technology Solutions Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=CTSH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=CTSH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();