Unisys (UIS) Total Non-Current Liabilities (2009 - 2026)
Unisys' Total Non-Current Liabilities was $1.93 billion in Q2 2026, up 0.3% from $1.93 billion a year earlier but down 0.4% from the prior quarter.
Unisys (UIS) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Unisys came in at $2.05 billion, down 1.1% from FY2024.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of -7.0% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $2.07 billion in FY2024 (+0.5%), $2.06 billion in FY2023 (+2.3%), $2.01 billion in FY2022 (-17.4%) and $2.44 billion in FY2021 (-17.4%).
- Quarterly Total Non-Current Liabilities has moved between $1.91 billion (Q3 2023) and $2.52 billion (Q3 2021) over five years.
- Compared with a year earlier, Total Non-Current Liabilities was higher in four of the last eight quarters, with an average decline of 0.4%.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q3 2024 (growth of 3.7%); the worst was Q4 2022 (a decline of 17.4%).
- Per Business Quant data, UIS's Total Non-Current Liabilities in the three quarters before Q2 2026 was $1.94 billion (Q1 2026), $2.05 billion (Q4 2025) and $1.96 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 43.15 Bn | 43.21 Bn | 1.60 Bn | 1.10 Bn |
| 2 | Cognizant Technology Solutions | 25.69 Bn | 18.86 Bn | 1.83 Bn | 5.59 Bn |
| 3 | Td Synnex | 20.64 Bn | 14.68 Bn | 1.34 Bn | 29.07 Bn |
| 4 | Cdw | 16.25 Bn | 14.24 Bn | 1.32 Bn | 6.52 Bn |
| 5 | Cgi | 15.05 Bn | 12.83 Bn | - | 8.68 Mn |
| 6 | Arrow Electronics | 11.71 Bn | 10.74 Bn | 1.13 Bn | 30.80 Bn |
| 7 | Avnet | 8.41 Bn | 7.59 Bn | 865.03 Mn | 10.19 Bn |
| 8 | Ingram Micro Holding | 6.34 Bn | 1.95 Bn | 958.68 Mn | 17.06 Bn |
| 9 | EPAM Systems | 5.52 Bn | 1.16 Bn | 429.57 Mn | 991.88 Mn |
| 10 | Unisys | 166.25 Mn | -1.26 Bn | 117.30 Mn | 1.93 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.93 Bn |
| Mar 31, 2026 | 1.94 Bn |
| Dec 31, 2025 | 2.05 Bn |
| Sep 30, 2025 | 1.96 Bn |
| Jun 30, 2025 | 1.93 Bn |
| Mar 31, 2025 | 2.02 Bn |
| Dec 31, 2024 | 2.07 Bn |
| Sep 30, 2024 | 1.98 Bn |
| Jun 30, 2024 | 1.99 Bn |
| Mar 31, 2024 | 1.99 Bn |
| Dec 31, 2023 | 2.06 Bn |
| Sep 30, 2023 | 1.91 Bn |
| Jun 30, 2023 | 1.95 Bn |
| Mar 31, 2023 | 1.98 Bn |
| Dec 31, 2022 | 2.01 Bn |
| Sep 30, 2022 | 2.15 Bn |
| Jun 30, 2022 | 2.21 Bn |
| Mar 31, 2022 | 2.31 Bn |
| Dec 31, 2021 | 2.44 Bn |
| Sep 30, 2021 | 2.52 Bn |
Unisys Total Non-Current 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-non-current-liabilities&ticker=UIS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=UIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();