DXC Technology (DXC) Non Operating Interest Expenses (2016 - 2026)
DXC Technology (DXC) reported Non Operating Interest Expenses of $55 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 1.9% from $54 million a year earlier and unchanged from the prior quarter.
DXC Technology (DXC) Non Operating Interest Expenses (2016 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, DXC Technology's Non Operating Interest Expenses came in at $217 million, down 12.1% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $216 million, down 18.5% from FY2025.
- Non Operating Interest Expenses has a five-year compound annual growth rate of -9.8% (FY2021 to FY2026).
- By fiscal year, Non Operating Interest Expenses came in at $265 million in FY2025 (-11.1%), $298 million in FY2024 (+49.0%), $200 million in FY2023 (-2.0%) and $204 million in FY2022 (-43.5%).
- Five-year quarterly Non Operating Interest Expenses spans a low of $37 million in fiscal Q1 2023 and a high of $78 million in fiscal Q3 2024.
- Year over year, Non Operating Interest Expenses gained in 1 of the last eight quarters, with an average decline of 15.0%.
- The high point for year-over-year Non Operating Interest Expenses in five years was fiscal Q1 2024 (growth of 78.4%); the low point was fiscal Q3 2022 (a decline of 53.7%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $55 million (Q4 2026), $54 million (Q3 2026) and $53 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 43.52 Bn | 43.57 Bn | 1.60 Bn | 13.00 Mn |
| 2 | Cognizant Technology Solutions | 25.96 Bn | 19.13 Bn | 1.83 Bn | 13.00 Mn |
| 3 | Td Synnex | 20.53 Bn | 14.56 Bn | 1.34 Bn | - |
| 4 | Cdw | 16.06 Bn | 14.05 Bn | 1.32 Bn | - |
| 5 | Cgi | 15.14 Bn | 12.92 Bn | - | 22.08 Mn |
| 6 | Arrow Electronics | 11.55 Bn | 10.58 Bn | 1.13 Bn | - |
| 7 | Avnet | 8.20 Bn | 7.38 Bn | 865.03 Mn | 66.46 Mn |
| 8 | Ingram Micro Holding | 6.32 Bn | 1.92 Bn | 958.68 Mn | 76.25 Mn |
| 9 | EPAM Systems | 5.59 Bn | 1.23 Bn | 429.57 Mn | - |
| 10 | DXC Technology | 1.73 Bn | -5.35 Bn | 611.00 Mn | 55.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 55.00 Mn |
| Mar 31, 2026 | 55.00 Mn |
| Dec 31, 2025 | 54.00 Mn |
| Sep 30, 2025 | 53.00 Mn |
| Jun 30, 2025 | 54.00 Mn |
| Mar 31, 2025 | 58.00 Mn |
| Dec 31, 2024 | 66.00 Mn |
| Sep 30, 2024 | 69.00 Mn |
| Jun 30, 2024 | 72.00 Mn |
| Mar 31, 2024 | 76.00 Mn |
| Dec 31, 2023 | 78.00 Mn |
| Sep 30, 2023 | 78.00 Mn |
| Jun 30, 2023 | 66.00 Mn |
| Mar 31, 2023 | 63.00 Mn |
| Dec 31, 2022 | 56.00 Mn |
| Sep 30, 2022 | 44.00 Mn |
| Jun 30, 2022 | 37.00 Mn |
| Mar 31, 2022 | 43.00 Mn |
| Dec 31, 2021 | 38.00 Mn |
| Sep 30, 2021 | 61.00 Mn |
DXC Technology Non Operating Interest 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=non-operating-interest-expenses&ticker=DXC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=DXC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();