DXC Technology (DXC) Cost of Revenue (2016 - 2026)
DXC Technology (DXC) reported Cost of Revenue of $2.39 billion for fiscal Q1 2027 (quarter ended Jun 30, 2026), unchanged from $2.39 billion a year earlier and down 0.8% from the prior quarter.
DXC Technology (DXC) Cost of Revenue (2016 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, DXC Technology's Cost of Revenue came in at $9.61 billion, down 0.2% year-over-year; for FY2026 (ended Mar 31, 2026), it was $9.61 billion, down 1.6% from FY2025.
- Cost of Revenue has declined for eight consecutive fiscal years, with a five-year compound annual growth rate of -7.4% (FY2021 to FY2026).
- By fiscal year, Cost of Revenue came in at $9.77 billion in FY2025 (-7.6%), $10.58 billion in FY2024 (-6.0%), $11.25 billion in FY2023 (-11.3%) and $12.68 billion in FY2022 (-10.0%).
- Five-year quarterly Cost of Revenue spans a low of $2.38 billion in fiscal Q2 2026 and a high of $3.18 billion in fiscal Q3 2022.
- Year over year, Cost of Revenue gained in two of the last eight quarters, with an average decline of 3.7%.
- The high point for year-over-year Cost of Revenue in five years was fiscal Q3 2026 (growth of 0.8%); the low point was fiscal Q2 2022 (a decline of 13.3%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $2.41 billion (Q4 2026), $2.44 billion (Q3 2026) and $2.38 billion (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 44.69 Bn | 44.75 Bn | 1.60 Bn | 3.48 Bn |
| 2 | Cognizant Technology Solutions | 26.45 Bn | 19.61 Bn | 1.83 Bn | 3.65 Bn |
| 3 | Td Synnex | 22.21 Bn | 16.36 Bn | 1.43 Bn | 20.13 Bn |
| 4 | Cdw | 16.70 Bn | 14.69 Bn | 1.32 Bn | 5.25 Bn |
| 5 | Cgi | 15.63 Bn | 13.41 Bn | - | - |
| 6 | Arrow Electronics | 12.33 Bn | 11.35 Bn | 1.13 Bn | 8.87 Bn |
| 7 | Avnet | 8.78 Bn | 7.96 Bn | 865.03 Mn | 7.43 Bn |
| 8 | Ingram Micro Holding | 6.70 Bn | 2.31 Bn | 958.68 Mn | 13.57 Bn |
| 9 | EPAM Systems | 5.58 Bn | 1.22 Bn | 429.57 Mn | 985.20 Mn |
| 10 | DXC Technology | 1.77 Bn | -5.31 Bn | 611.00 Mn | 2.39 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.39 Bn |
| Mar 31, 2026 | 2.41 Bn |
| Dec 31, 2025 | 2.44 Bn |
| Sep 30, 2025 | 2.38 Bn |
| Jun 30, 2025 | 2.39 Bn |
| Mar 31, 2025 | 2.40 Bn |
| Dec 31, 2024 | 2.42 Bn |
| Sep 30, 2024 | 2.43 Bn |
| Jun 30, 2024 | 2.53 Bn |
| Mar 31, 2024 | 2.59 Bn |
| Dec 31, 2023 | 2.64 Bn |
| Sep 30, 2023 | 2.63 Bn |
| Jun 30, 2023 | 2.72 Bn |
| Mar 31, 2023 | 2.74 Bn |
| Dec 31, 2022 | 2.80 Bn |
| Sep 30, 2022 | 2.78 Bn |
| Jun 30, 2022 | 2.93 Bn |
| Mar 31, 2022 | 3.16 Bn |
| Dec 31, 2021 | 3.18 Bn |
| Sep 30, 2021 | 3.09 Bn |
DXC Technology Cost of Revenue 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=cost-of-revenue&ticker=DXC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=DXC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();