DXC Technology (DXC) Total Liabilities (2017 - 2026)
DXC Technology's Total Liabilities was $9.6 billion in fiscal Q1 2027 (quarter ended Jun 30, 2026), down 4.1% from $10.01 billion a year earlier and down 0.9% from the prior quarter.
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Analysis
DXC Technology (DXC) Total Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Total Liabilities at DXC Technology came in at $9.68 billion, down 0.3% from FY2025.
- Total Liabilities has now declined for six consecutive fiscal years, with a five-year compound annual growth rate of -10.4% (FY2021 to FY2026).
- In earlier fiscal years, Total Liabilities was $9.72 billion in FY2025 (-10.1%), $10.81 billion in FY2024 (-10.1%), $12.03 billion in FY2023 (-18.6%) and $14.76 billion in FY2022 (-11.8%).
- The fiscal Q1 2027 figure marks the lowest quarterly Total Liabilities since fiscal Q4 2017.
- Compared with a year earlier, Total Liabilities has declined for 23 straight quarters, with an average decline of 5.1% over the last eight quarters.
- Across the past five years, year-over-year decline in Total Liabilities ran from 0.2% in fiscal Q3 2026 to 28.1% in fiscal Q2 2022.
- Per Business Quant data, DXC's Total Liabilities in the three fiscal quarters before Q1 2027 was $9.68 billion (Q4 2026), $9.76 billion (Q3 2026) and $10.25 billion (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 52.03 Bn | 38.53 Bn | 1.60 Bn | 21.56 Bn |
| 2 | Cognizant Technology Solutions | 31.75 Bn | 24.91 Bn | 1.83 Bn | 6.36 Bn |
| 3 | Wipro | 21.48 Bn | 16.18 Bn | 738.00 Mn | 5.71 Bn |
| 4 | Cdw | 19.70 Bn | 17.69 Bn | 1.32 Bn | 14.81 Bn |
| 5 | Td Synnex | 19.65 Bn | 13.81 Bn | 1.43 Bn | 32.54 Bn |
| 6 | Cgi | 17.59 Bn | 15.39 Bn | - | - |
| 7 | Arrow Electronics | 11.05 Bn | 10.00 Bn | 1.13 Bn | 31.30 Bn |
| 8 | Avnet | 7.49 Bn | 6.67 Bn | 865.03 Mn | 10.40 Bn |
| 9 | EPAM Systems | 6.82 Bn | 2.46 Bn | 429.57 Mn | 1.05 Bn |
| 10 | DXC Technology | 2.38 Bn | -4.98 Bn | 611.00 Mn | 9.60 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.60 Bn |
| Mar 31, 2026 | 9.68 Bn |
| Dec 31, 2025 | 9.76 Bn |
| Sep 30, 2025 | 10.25 Bn |
| Jun 30, 2025 | 10.01 Bn |
| Mar 31, 2025 | 9.72 Bn |
| Dec 31, 2024 | 9.78 Bn |
| Sep 30, 2024 | 10.27 Bn |
| Jun 30, 2024 | 10.25 Bn |
| Mar 31, 2024 | 10.81 Bn |
| Dec 31, 2023 | 11.53 Bn |
| Sep 30, 2023 | 11.24 Bn |
| Jun 30, 2023 | 11.69 Bn |
| Mar 31, 2023 | 12.03 Bn |
| Dec 31, 2022 | 13.30 Bn |
| Sep 30, 2022 | 12.80 Bn |
| Jun 30, 2022 | 13.60 Bn |
| Mar 31, 2022 | 14.76 Bn |
| Dec 31, 2021 | 14.87 Bn |
| Sep 30, 2021 | 15.03 Bn |
API Access
DXC Technology Total Liabilities 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=total-liabilities&ticker=DXC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=DXC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();