Unisys (UIS) Operating Expenses (2009 - 2026)
Unisys (UIS) posted Operating Expenses of $506.4 million for Q2 2026, up 11.8% from $453 million a year earlier and up 20.2% from the prior quarter.
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Analysis
Unisys (UIS) Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Unisys was $1.92 billion, up 2.8% year-over-year; for FY2025, it came in at $1.87 billion, down 2.1% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of -0.7% (FY2020 to FY2025).
- In prior years, Unisys' Operating Expenses was $1.91 billion in FY2024 (-1.4%), $1.94 billion in FY2023 (+0.6%), $1.93 billion in FY2022 (+1.4%) and $1.9 billion in FY2021 (-2.0%).
- The Q2 2026 figure stands as the highest quarterly Operating Expenses since Q4 2023.
- On a year-over-year basis, Operating Expenses increased in four of the last eight quarters, with an average year-over-year change of 0.0%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q2 2026, with growth of 11.8%; the weakest was Q1 2025, with a decline of 9.2%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $421.4 million (Q1 2026), $497.9 million (Q4 2025) and $493.7 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 43.15 Bn | 43.21 Bn | 1.60 Bn | 528.00 Mn |
| 2 | Cognizant Technology Solutions | 25.69 Bn | 18.86 Bn | 1.83 Bn | 812.00 Mn |
| 3 | Td Synnex | 20.64 Bn | 14.68 Bn | 1.34 Bn | 822.22 Mn |
| 4 | Cdw | 16.25 Bn | 14.24 Bn | 1.32 Bn | 891.20 Mn |
| 5 | Cgi | 15.05 Bn | 12.83 Bn | - | 12.44 Mn |
| 6 | Arrow Electronics | 11.71 Bn | 10.74 Bn | 1.13 Bn | 747.88 Mn |
| 7 | Avnet | 8.41 Bn | 7.59 Bn | 865.03 Mn | 634.01 Mn |
| 8 | Ingram Micro Holding | 6.34 Bn | 1.95 Bn | 958.68 Mn | 722.71 Mn |
| 9 | EPAM Systems | 5.52 Bn | 1.16 Bn | 429.57 Mn | 245.25 Mn |
| 10 | Unisys | 166.25 Mn | -1.26 Bn | 117.30 Mn | 506.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 506.40 Mn |
| Mar 31, 2026 | 421.40 Mn |
| Dec 31, 2025 | 497.90 Mn |
| Sep 30, 2025 | 493.70 Mn |
| Jun 30, 2025 | 453.00 Mn |
| Mar 31, 2025 | 427.00 Mn |
| Dec 31, 2024 | 496.80 Mn |
| Sep 30, 2024 | 489.50 Mn |
| Jun 30, 2024 | 454.60 Mn |
| Mar 31, 2024 | 470.10 Mn |
| Dec 31, 2023 | 513.60 Mn |
| Sep 30, 2023 | 481.70 Mn |
| Jun 30, 2023 | 476.70 Mn |
| Mar 31, 2023 | 466.50 Mn |
| Dec 31, 2022 | 507.00 Mn |
| Sep 30, 2022 | 469.20 Mn |
| Jun 30, 2022 | 481.30 Mn |
| Mar 31, 2022 | 470.20 Mn |
| Dec 31, 2021 | 494.80 Mn |
| Sep 30, 2021 | 462.90 Mn |
API Access
Unisys Operating 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=operating-expenses&ticker=UIS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=UIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();