Unisys (UIS) Cost of Revenue (2009 - 2026)
Unisys (UIS) recorded Cost of Revenue of $356.2 million in Q2 2026, up 0.8% from $353.3 million a year earlier and up 9.6% from the prior quarter.
Unisys (UIS) Cost of Revenue (2009 - 2026) Analysis & Trends
On a TTM basis, Unisys' Cost of Revenue came in at $1.4 billion as of Jun 30, 2026, up 0.3% year-over-year; for FY2025, it was $1.4 billion, down 1.5% from FY2024.
- Annual Cost of Revenue has a five-year compound annual growth rate of -1.9% (FY2020 to FY2025).
- Across earlier years, Cost of Revenue came in at $1.42 billion in FY2024 (-2.8%), $1.46 billion in FY2023 (+1.0%), $1.45 billion in FY2022 (-2.2%) and $1.48 billion in FY2021 (-3.9%).
- Quarterly Cost of Revenue has ranged from $324.6 million in Q1 2025 to $379.9 million in Q4 2025 over the past five years.
- On a year-over-year basis, Cost of Revenue has increased for three consecutive quarters, with an average decline of 1.4% over the last eight quarters.
- Peak year-over-year performance for Cost of Revenue in the last five years was growth of 3.5% in Q3 2023, against a decline of 7.7% in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $325.1 million (Q1 2026), $379.9 million (Q4 2025) and $343 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 44.69 Bn | 44.75 Bn | 1.60 Bn | 3.48 Bn |
| 2 | Cognizant Technology Solutions | 26.45 Bn | 19.61 Bn | 1.83 Bn | 3.65 Bn |
| 3 | Td Synnex | 22.21 Bn | 16.36 Bn | 1.43 Bn | 20.13 Bn |
| 4 | Cdw | 16.70 Bn | 14.69 Bn | 1.32 Bn | 5.25 Bn |
| 5 | Cgi | 15.63 Bn | 13.41 Bn | - | - |
| 6 | Arrow Electronics | 12.33 Bn | 11.35 Bn | 1.13 Bn | 8.87 Bn |
| 7 | Avnet | 8.78 Bn | 7.96 Bn | 865.03 Mn | 7.43 Bn |
| 8 | Ingram Micro Holding | 6.70 Bn | 2.31 Bn | 958.68 Mn | 13.57 Bn |
| 9 | EPAM Systems | 5.58 Bn | 1.22 Bn | 429.57 Mn | 985.20 Mn |
| 10 | Unisys | 166.25 Mn | -1.26 Bn | 117.30 Mn | 356.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 356.20 Mn |
| Mar 31, 2026 | 325.10 Mn |
| Dec 31, 2025 | 379.90 Mn |
| Sep 30, 2025 | 343.00 Mn |
| Jun 30, 2025 | 353.30 Mn |
| Mar 31, 2025 | 324.60 Mn |
| Dec 31, 2024 | 370.40 Mn |
| Sep 30, 2024 | 352.00 Mn |
| Jun 30, 2024 | 348.30 Mn |
| Mar 31, 2024 | 351.80 Mn |
| Dec 31, 2023 | 376.40 Mn |
| Sep 30, 2023 | 369.30 Mn |
| Jun 30, 2023 | 361.00 Mn |
| Mar 31, 2023 | 357.40 Mn |
| Dec 31, 2022 | 367.20 Mn |
| Sep 30, 2022 | 356.90 Mn |
| Jun 30, 2022 | 366.90 Mn |
| Mar 31, 2022 | 359.30 Mn |
| Dec 31, 2021 | 375.60 Mn |
| Sep 30, 2021 | 361.10 Mn |
Unisys Cost of Revenue 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=cost-of-revenue&ticker=UIS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=UIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();