DXC Technology (DXC) Operating Margin (2016 - 2026)
DXC Technology's Operating Margin came in at -71.59% for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 1.88 percentage points from -73.47% a year earlier and up 6.94 percentage points from the prior quarter.
DXC Technology (DXC) Operating Margin (2016 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, DXC Technology reported Operating Margin of -73.06%, down 2.69 percentage points year-over-year; for FY2026 (ended Mar 31, 2026), it was -73.51%, down 2.50 percentage points from FY2025.
- Operating Margin carries a five-year change of +2.25 percentage points (FY2021 to FY2026).
- Going back by fiscal year, Operating Margin was -71.01% in FY2025 (+5.57 pp), -76.59% in FY2024 (+7.48 pp), -84.07% in FY2023 (-13.11 pp) and -70.96% in FY2022 (+4.80 pp).
- The five-year range for quarterly Operating Margin is -108.74% (fiscal Q4 2023) to -58.93% (fiscal Q4 2022).
- Year-over-year, Operating Margin increased in six of the last eight quarters, with an average year-over-year change of +1.69 percentage points.
- The fastest year-over-year change in Operating Margin over five years came in fiscal Q4 2022 (a gain of 40.36 percentage points), and the weakest in fiscal Q4 2023 (a drop of 49.81 percentage points).
- Business Quant data shows DXC's Operating Margin at -78.53% (Q4 2026), -70.88% (Q3 2026) and -71.24% (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 43.15 Bn | 43.21 Bn | 1.60 Bn | 21.09% |
| 2 | Cognizant Technology Solutions | 25.69 Bn | 18.86 Bn | 1.83 Bn | 15.95% |
| 3 | Td Synnex | 20.64 Bn | 14.68 Bn | 1.34 Bn | 2.65% |
| 4 | Cdw | 16.25 Bn | 14.24 Bn | 1.32 Bn | 6.52% |
| 5 | Cgi | 15.05 Bn | 12.83 Bn | - | - |
| 6 | Arrow Electronics | 11.71 Bn | 10.74 Bn | 1.13 Bn | 3.78% |
| 7 | Avnet | 8.41 Bn | 7.59 Bn | 865.03 Mn | 2.79% |
| 8 | Ingram Micro Holding | 6.34 Bn | 1.95 Bn | 958.68 Mn | 1.62% |
| 9 | EPAM Systems | 5.52 Bn | 1.16 Bn | 429.57 Mn | 10.76% |
| 10 | DXC Technology | 1.65 Bn | -5.43 Bn | 611.00 Mn | -71.59% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -71.59% |
| Mar 31, 2026 | -78.53% |
| Dec 31, 2025 | -70.88% |
| Sep 30, 2025 | -71.24% |
| Jun 30, 2025 | -73.47% |
| Mar 31, 2025 | -65.10% |
| Dec 31, 2024 | -70.85% |
| Sep 30, 2024 | -72.01% |
| Jun 30, 2024 | -75.96% |
| Mar 31, 2024 | -85.56% |
| Dec 31, 2023 | -71.32% |
| Sep 30, 2023 | -72.90% |
| Jun 30, 2023 | -76.64% |
| Mar 31, 2023 | -108.74% |
| Dec 31, 2022 | -75.63% |
| Sep 30, 2022 | -76.30% |
| Jun 30, 2022 | -75.75% |
| Mar 31, 2022 | -58.93% |
| Dec 31, 2021 | -73.69% |
| Sep 30, 2021 | -82.84% |
DXC Technology Operating Margin 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=operating-margin&ticker=DXC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=DXC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();