DXC Technology (DXC) Restructuring Costs (2016 - 2026)
DXC Technology (DXC) recorded Restructuring Costs of $26 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), down 29.7% from $37 million a year earlier but up 13.0% from the prior quarter.
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Analysis
DXC Technology (DXC) Restructuring Costs (2016 - 2026) Analysis & Trends
On a TTM basis, DXC Technology's Restructuring Costs came in at $104 million as of Jun 30, 2026, down 31.1% year-over-year; for FY2026 (ended Mar 31, 2026), it was $115 million, down 24.8% from FY2025.
- Annual Restructuring Costs has a five-year compound annual growth rate of -26.9% (FY2021 to FY2026).
- Across earlier fiscal years, Restructuring Costs came in at $153 million in FY2025 (+37.8%), $111 million in FY2024 (-48.6%), $216 million in FY2023 (-32.1%) and $318 million in FY2022 (-42.3%).
- Quarterly Restructuring Costs has ranged from $20 million in fiscal Q1 2024 to $145 million in fiscal Q2 2022 over the past five years.
- On a year-over-year basis, Restructuring Costs has declined for five consecutive quarters, with an average decline of 5.2% over the last eight quarters.
- Peak year-over-year performance for Restructuring Costs in the last five years was growth of 95.0% in fiscal Q1 2025, against a decline of 75.3% in fiscal Q4 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $23 million (Q4 2026), $20 million (Q3 2026) and $35 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 52.03 Bn | 38.53 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 31.75 Bn | 24.91 Bn | 1.83 Bn |
| 3 | Wipro | 21.48 Bn | 16.18 Bn | 738.00 Mn |
| 4 | Cdw | 19.70 Bn | 17.69 Bn | 1.32 Bn |
| 5 | Td Synnex | 19.65 Bn | 13.81 Bn | 1.43 Bn |
| 6 | Cgi | 17.59 Bn | 15.39 Bn | - |
| 7 | Arrow Electronics | 11.05 Bn | 10.00 Bn | 1.13 Bn |
| 8 | Avnet | 7.49 Bn | 6.67 Bn | 865.03 Mn |
| 9 | EPAM Systems | 6.82 Bn | 2.46 Bn | 429.57 Mn |
| 10 | DXC Technology | 2.38 Bn | -4.98 Bn | 611.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 26.00 Mn |
| Mar 31, 2026 | 23.00 Mn |
| Dec 31, 2025 | 20.00 Mn |
| Sep 30, 2025 | 35.00 Mn |
| Jun 30, 2025 | 37.00 Mn |
| Mar 31, 2025 | 29.00 Mn |
| Dec 31, 2024 | 43.00 Mn |
| Sep 30, 2024 | 42.00 Mn |
| Jun 30, 2024 | 39.00 Mn |
| Mar 31, 2024 | 20.00 Mn |
| Dec 31, 2023 | 36.00 Mn |
| Sep 30, 2023 | 35.00 Mn |
| Jun 30, 2023 | 20.00 Mn |
| Mar 31, 2023 | 81.00 Mn |
| Dec 31, 2022 | 49.00 Mn |
| Sep 30, 2022 | 53.00 Mn |
| Jun 30, 2022 | 33.00 Mn |
| Mar 31, 2022 | 70.00 Mn |
| Dec 31, 2021 | 36.00 Mn |
| Sep 30, 2021 | 145.00 Mn |
API Access
DXC Technology Restructuring Costs 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=restructuring-costs&ticker=DXC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=DXC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();