DXC Technology (DXC) Intangibles (2017 - 2026)
DXC Technology (DXC) posted Intangibles of $1.5 billion for Q2 2026, down 5.83% on a QoQ basis from $1.6 billion in Q1 2026, and little changed year-over-year from $1.5 billion in Q2 2025.
DXC Technology (DXC) Intangibles (2017 - 2026) Analysis & Trends
DXC Technology has reported Intangibles for 10 years, with the latest figure at $1.5 billion in Q2 2026.
- On a quarterly basis, Intangibles changed 0.46% year-over-year to $1.5 billion in Q2 2026; TTM through Jun 2026 was $1.5 billion, a 0.46% change from a year earlier, with the FY2026 full-year figure at $1.6 billion, down 1.83% from the prior year.
- Intangibles was $1.5 billion for Q2 2026 at DXC Technology, down from $1.6 billion in the prior quarter.
- The five-year high for Intangibles was $3.4 billion in Q1 2022, with the low at $1.5 billion in Q2 2025.
- Average Intangibles over 5 years is $2.2 billion, with a median of $2.1 billion recorded in 2024.
- The sharpest annual moves came in 2025 and 2026: Intangibles decreased 24.86% in 2025, then advanced 0.46% in 2026.
- Over 5 years, Intangibles stood at $2.7 billion in 2022, then retreated by 15.58% to $2.3 billion in 2023, then slipped by 22.82% to $1.8 billion in 2024, then fell by 1.06% to $1.8 billion in 2025, then declined by 14.09% to $1.5 billion in 2026.
- The last three Intangibles figures came in at $1.5 billion (Q2 2026), $1.6 billion (Q1 2026), and $1.8 billion (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 44.17 Bn | 44.22 Bn | 1.60 Bn | 486.00 Mn |
| 2 | Cognizant Technology Solutions | 26.84 Bn | 25.79 Bn | 1.83 Bn | 1.68 Bn |
| 3 | Cgi | 13.60 Bn | 13.02 Bn | - | 590.76 Mn |
| 4 | EPAM Systems | 5.82 Bn | 5.04 Bn | 429.57 Mn | 372.97 Mn |
| 5 | Science Applications International | 5.60 Bn | 5.47 Bn | 239.00 Mn | 697.00 Mn |
| 6 | ExlService Holdings | 5.35 Bn | 5.07 Bn | 225.96 Mn | 29.72 Mn |
| 7 | Kyndryl Holdings | 2.65 Bn | 639.03 Mn | 776.00 Mn | 328.00 Mn |
| 8 | Innodata | 2.10 Bn | 1.85 Bn | 42.46 Mn | 14.19 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 | 1.52 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.52 Bn |
| Mar 31, 2026 | 1.61 Bn |
| Dec 31, 2025 | 1.77 Bn |
| Sep 30, 2025 | 1.87 Bn |
| Jun 30, 2025 | 1.51 Bn |
| Mar 31, 2025 | 1.64 Bn |
| Dec 31, 2024 | 1.79 Bn |
| Sep 30, 2024 | 1.98 Bn |
| Jun 30, 2024 | 2.01 Bn |
| Mar 31, 2024 | 2.13 Bn |
| Dec 31, 2023 | 2.31 Bn |
| Sep 30, 2023 | 2.44 Bn |
| Jun 30, 2023 | 2.44 Bn |
| Mar 31, 2023 | 2.57 Bn |
| Dec 31, 2022 | 2.74 Bn |
| Sep 30, 2022 | 2.88 Bn |
| Jun 30, 2022 | 3.12 Bn |
| Mar 31, 2022 | 3.38 Bn |
| Dec 31, 2021 | 3.58 Bn |
| Sep 30, 2021 | 3.69 Bn |
DXC Technology Intangibles 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=intangibles&ticker=DXC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "ticker": "DXC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=intangibles&ticker=DXC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();