Unisys (UIS) Non Operating Interest Expenses (2009 - 2026)
Unisys (UIS) reported Non Operating Interest Expenses of $18.3 million for Q2 2026, up 123.2% from $8.2 million a year earlier but down 1.1% from the prior quarter.
Unisys (UIS) Non Operating Interest Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Unisys' Non Operating Interest Expenses came in at $73.8 million, up 127.1% year-over-year; for FY2025, it came in at $53.4 million, up 67.4% from FY2024.
- Non Operating Interest Expenses has a five-year compound annual growth rate of 12.8% (FY2020 to FY2025).
- By year, Non Operating Interest Expenses came in at $31.9 million in FY2024 (+3.6%), $30.8 million in FY2023 (-4.9%), $32.4 million in FY2022 (-8.5%) and $35.4 million in FY2021 (+21.2%).
- Five-year quarterly Non Operating Interest Expenses spans a low of $7.5 million in Q2 2023 and a high of $18.8 million in Q4 2025.
- Year over year, Non Operating Interest Expenses has now increased in each of the last 11 quarters, with growth averaging 65.1% over the last eight quarters.
- The high point for year-over-year Non Operating Interest Expenses in five years was Q3 2021 (growth of 254.2%); the low point was Q1 2022 (a decline of 16.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $18.5 million (Q1 2026), $18.8 million (Q4 2025) and $18.2 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 54.39 Bn | 40.89 Bn | 1.60 Bn | 13.00 Mn |
| 2 | Cognizant Technology Solutions | 34.33 Bn | 27.49 Bn | 1.83 Bn | 13.00 Mn |
| 3 | Wipro | 22.89 Bn | 18.03 Bn | 745.00 Mn | -57.00 Mn |
| 4 | Cdw | 21.00 Bn | 18.98 Bn | 1.32 Bn | - |
| 5 | Td Synnex | 19.58 Bn | 13.74 Bn | 1.43 Bn | - |
| 6 | Cgi | 18.28 Bn | 16.07 Bn | - | 22.08 Mn |
| 7 | Arrow Electronics | 10.72 Bn | 9.67 Bn | 1.13 Bn | - |
| 8 | Avnet | 7.27 Bn | 6.45 Bn | 865.03 Mn | 66.46 Mn |
| 9 | EPAM Systems | 7.20 Bn | 2.84 Bn | 429.57 Mn | - |
| 10 | Unisys | 177.55 Mn | -1.26 Bn | 117.30 Mn | 18.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.30 Mn |
| Mar 31, 2026 | 18.50 Mn |
| Dec 31, 2025 | 18.80 Mn |
| Sep 30, 2025 | 18.20 Mn |
| Jun 30, 2025 | 8.20 Mn |
| Mar 31, 2025 | 8.20 Mn |
| Dec 31, 2024 | 8.20 Mn |
| Sep 30, 2024 | 7.90 Mn |
| Jun 30, 2024 | 7.90 Mn |
| Mar 31, 2024 | 7.90 Mn |
| Dec 31, 2023 | 7.90 Mn |
| Sep 30, 2023 | 7.80 Mn |
| Jun 30, 2023 | 7.50 Mn |
| Mar 31, 2023 | 7.60 Mn |
| Dec 31, 2022 | 7.80 Mn |
| Sep 30, 2022 | 7.90 Mn |
| Jun 30, 2022 | 8.30 Mn |
| Mar 31, 2022 | 8.40 Mn |
| Dec 31, 2021 | 8.40 Mn |
| Sep 30, 2021 | 8.50 Mn |
Unisys 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=UIS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "UIS", "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=UIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();