DXC Technology (DXC) Return on Sales [ROS] (2016 - 2026)
DXC Technology (DXC) recorded Return on Sales [ROS] of -71.59% in 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) Return on Sales [ROS] (2016 - 2026) Analysis & Trends
On a TTM basis, DXC Technology's Return on Sales [ROS] came in at -73.06% as of Jun 30, 2026, down 2.69 percentage points year-over-year; for FY2026 (ended Mar 31, 2026), it came in at -73.51%, down 2.50 percentage points from FY2025.
- Annual Return on Sales [ROS] has a five-year change of +2.25 percentage points (FY2021 to FY2026).
- Across earlier fiscal years, Return on Sales [ROS] came in at -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).
- Quarterly Return on Sales [ROS] has ranged from -108.74% in fiscal Q4 2023 to -58.93% in fiscal Q4 2022 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] rose in six of the last eight quarters, with an average year-over-year change of +1.69 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 40.36 percentage points in fiscal Q4 2022, against a drop of 49.81 percentage points in fiscal Q4 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at -78.53% (Q4 2026), -70.88% (Q3 2026) and -71.24% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 46.03 Bn | 46.09 Bn | 1.60 Bn | 21.12% |
| 2 | Cognizant Technology Solutions | 27.52 Bn | 20.68 Bn | 1.83 Bn | 15.95% |
| 3 | Td Synnex | 21.68 Bn | 15.84 Bn | 1.43 Bn | 2.98% |
| 4 | Cdw | 17.02 Bn | 15.01 Bn | 1.32 Bn | 6.52% |
| 5 | Cgi | 15.79 Bn | 13.57 Bn | - | 15.85% |
| 6 | Arrow Electronics | 11.78 Bn | 10.81 Bn | 1.13 Bn | 3.78% |
| 7 | Avnet | 8.39 Bn | 7.57 Bn | 865.03 Mn | 2.79% |
| 8 | Ingram Micro Holding | 6.54 Bn | 2.15 Bn | 958.68 Mn | 1.62% |
| 9 | EPAM Systems | 5.90 Bn | 1.54 Bn | 429.57 Mn | 10.76% |
| 10 | DXC Technology | 1.86 Bn | -5.22 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 Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=DXC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=DXC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();