Conduent (CNDT) Total Non-Current Liabilities (2015 - 2026)
Conduent (CNDT) reported Total Non-Current Liabilities of $1.65 billion for Q2 2026, up 2.2% from $1.61 billion a year earlier but down 0.4% from the prior quarter.
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Analysis
Conduent (CNDT) Total Non-Current Liabilities (2015 - 2026) Analysis & Trends
At the end of FY2025, Conduent posted Total Non-Current Liabilities of $1.64 billion, down 1.6% from FY2024.
- Total Non-Current Liabilities has declined for nine consecutive years, with a five-year compound annual growth rate of -11.2% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $1.66 billion in FY2024 (-32.0%), $2.45 billion in FY2023 (-5.4%), $2.59 billion in FY2022 (-8.0%) and $2.81 billion in FY2021 (-5.0%).
- Five-year quarterly Total Non-Current Liabilities spans a low of $1.61 billion in Q2 2025 and a high of $2.81 billion in Q4 2021.
- Year over year, Total Non-Current Liabilities gained in two of the last eight quarters, with an average decline of 13.7%.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q2 2026 (growth of 2.2%); the low point was Q4 2024 (a decline of 32.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.65 billion (Q1 2026), $1.64 billion (Q4 2025) and $1.68 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 118.39 Bn | 78.80 Bn | 6.13 Bn | 13.69 Bn |
| 2 | Cintas | 79.13 Bn | 78.31 Bn | 1.48 Bn | 2.70 Bn |
| 3 | Iron Mountain | 33.17 Bn | 32.69 Bn | 1.07 Bn | 22.86 Bn |
| 4 | APi | 16.75 Bn | 13.79 Bn | 703.00 Mn | 6.29 Bn |
| 5 | Rollins | 14.67 Bn | 14.22 Bn | 569.95 Mn | 1.79 Bn |
| 6 | Aramark | 14.35 Bn | 12.37 Bn | 430.34 Mn | 9.92 Bn |
| 7 | UL Solutions | 13.11 Bn | 11.89 Bn | 417.00 Mn | 1.41 Bn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 6.90 Bn |
| 9 | Rentokil Initial | 10.12 Bn | 3.46 Bn | - | -6.00 Mn |
| 10 | Conduent | 245.72 Mn | -691.28 Mn | 96.00 Mn | 1.65 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.65 Bn |
| Mar 31, 2026 | 1.65 Bn |
| Dec 31, 2025 | 1.64 Bn |
| Sep 30, 2025 | 1.68 Bn |
| Jun 30, 2025 | 1.61 Bn |
| Mar 31, 2025 | 1.64 Bn |
| Dec 31, 2024 | 1.66 Bn |
| Sep 30, 2024 | 1.88 Bn |
| Jun 30, 2024 | 1.94 Bn |
| Mar 31, 2024 | 2.27 Bn |
| Dec 31, 2023 | 2.45 Bn |
| Sep 30, 2023 | 2.44 Bn |
| Jun 30, 2023 | 2.45 Bn |
| Mar 31, 2023 | 2.50 Bn |
| Dec 31, 2022 | 2.59 Bn |
| Sep 30, 2022 | 2.63 Bn |
| Jun 30, 2022 | 2.59 Bn |
| Mar 31, 2022 | 2.63 Bn |
| Dec 31, 2021 | 2.81 Bn |
| Sep 30, 2021 | 2.80 Bn |
API Access
Conduent 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=CNDT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "CNDT", "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=CNDT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();