DXC Technology (DXC) Accumulated Expenses (2017 - 2026)
DXC Technology's Accumulated Expenses was $1.13 billion in fiscal Q1 2027 (quarter ended Jun 30, 2026), down 10.8% from $1.27 billion a year earlier and down 10.5% from the prior quarter.
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Analysis
DXC Technology (DXC) Accumulated Expenses (2017 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Accumulated Expenses at DXC Technology came in at $1.26 billion, down 7.1% from FY2025.
- Accumulated Expenses has now declined for five consecutive fiscal years, with a five-year compound annual growth rate of -17.8% (FY2021 to FY2026).
- In earlier fiscal years, Accumulated Expenses was $1.36 billion in FY2025 (-5.5%), $1.44 billion in FY2024 (-21.7%), $1.84 billion in FY2023 (-36.3%) and $2.88 billion in FY2022 (-14.2%).
- The fiscal Q1 2027 figure marks the lowest quarterly Accumulated Expenses since fiscal Q4 2017.
- Compared with a year earlier, Accumulated Expenses has declined for four straight quarters, with an average decline of 8.5% over the last eight quarters.
- The best year-over-year quarter for Accumulated Expenses over five years was fiscal Q1 2026 (growth of 0.3%); the worst was fiscal Q3 2023 (a decline of 37.9%).
- Per Business Quant data, DXC's Accumulated Expenses in the three fiscal quarters before Q1 2027 was $1.26 billion (Q4 2026), $1.3 billion (Q3 2026) and $1.2 billion (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 52.40 Bn | 38.90 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 32.46 Bn | 25.62 Bn | 1.83 Bn |
| 3 | Wipro | 22.47 Bn | 17.61 Bn | 745.00 Mn |
| 4 | Cdw | 20.15 Bn | 18.14 Bn | 1.32 Bn |
| 5 | Td Synnex | 19.94 Bn | 14.10 Bn | 1.43 Bn |
| 6 | Cgi | 17.74 Bn | 15.53 Bn | - |
| 7 | Arrow Electronics | 11.21 Bn | 10.16 Bn | 1.13 Bn |
| 8 | Avnet | 7.65 Bn | 6.83 Bn | 865.03 Mn |
| 9 | EPAM Systems | 7.01 Bn | 2.65 Bn | 429.57 Mn |
| 10 | DXC Technology | 2.52 Bn | -4.83 Bn | 611.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.13 Bn |
| Mar 31, 2026 | 1.26 Bn |
| Dec 31, 2025 | 1.30 Bn |
| Sep 30, 2025 | 1.20 Bn |
| Jun 30, 2025 | 1.27 Bn |
| Mar 31, 2025 | 1.36 Bn |
| Dec 31, 2024 | 1.33 Bn |
| Sep 30, 2024 | 1.35 Bn |
| Jun 30, 2024 | 1.26 Bn |
| Mar 31, 2024 | 1.44 Bn |
| Dec 31, 2023 | 1.60 Bn |
| Sep 30, 2023 | 1.57 Bn |
| Jun 30, 2023 | 1.59 Bn |
| Mar 31, 2023 | 1.84 Bn |
| Dec 31, 2022 | 1.93 Bn |
| Sep 30, 2022 | 2.32 Bn |
| Jun 30, 2022 | 2.48 Bn |
| Mar 31, 2022 | 2.88 Bn |
| Dec 31, 2021 | 3.11 Bn |
| Sep 30, 2021 | 3.12 Bn |
API Access
DXC Technology Accumulated Expenses 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=accumulated-expenses&ticker=DXC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=DXC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();