Chemours (CC) Total Non-Current Liabilities (2014 - 2026)
Chemours' Total Non-Current Liabilities was $6.53 billion in Q2 2026, down 2.1% from $6.67 billion a year earlier but up 1.0% from the prior quarter.
Chemours (CC) Total Non-Current Liabilities (2014 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Chemours came in at $6.54 billion, up 1.0% from FY2024.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of 1.1% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $6.48 billion in FY2024 (-9.8%), $7.19 billion in FY2023 (+11.3%), $6.46 billion in FY2022 (+0.9%) and $6.41 billion in FY2021 (+3.3%).
- Quarterly Total Non-Current Liabilities has moved between $5.92 billion (Q1 2023) and $7.19 billion (Q4 2023) 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 1.2%.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q1 2024 (growth of 16.5%); the worst was Q4 2024 (a decline of 9.8%).
- Per Business Quant data, CC's Total Non-Current Liabilities in the three quarters before Q2 2026 was $6.46 billion (Q1 2026), $6.54 billion (Q4 2025) and $6.7 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 218.80 Bn | 201.92 Bn | 4.43 Bn | 36.82 Bn |
| 2 | Corning | 132.43 Bn | 125.56 Bn | 1.63 Bn | 14.10 Bn |
| 3 | Sherwin Williams | 78.49 Bn | 77.53 Bn | 3.34 Bn | 20.50 Bn |
| 4 | Air Products & Chemicals | 61.97 Bn | 59.87 Bn | 1.04 Bn | 19.27 Bn |
| 5 | Corteva | 51.82 Bn | 40.62 Bn | 3.66 Bn | 5.45 Bn |
| 6 | LyondellBasell Industries | 37.12 Bn | 26.74 Bn | 2.04 Bn | 22.10 Bn |
| 7 | Nutrien | 33.86 Bn | 30.73 Bn | 3.25 Bn | 27.37 Bn |
| 8 | Qnity Electronics | 26.31 Bn | 23.73 Bn | 666.00 Mn | 5.75 Bn |
| 9 | Ati | 25.78 Bn | 23.93 Bn | 309.80 Mn | 3.41 Bn |
| 10 | Chemours | 2.04 Bn | -475.72 Mn | 286.00 Mn | 6.53 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.53 Bn |
| Mar 31, 2026 | 6.46 Bn |
| Dec 31, 2025 | 6.54 Bn |
| Sep 30, 2025 | 6.70 Bn |
| Jun 30, 2025 | 6.67 Bn |
| Mar 31, 2025 | 6.34 Bn |
| Dec 31, 2024 | 6.48 Bn |
| Sep 30, 2024 | 6.46 Bn |
| Jun 30, 2024 | 6.20 Bn |
| Mar 31, 2024 | 6.90 Bn |
| Dec 31, 2023 | 7.19 Bn |
| Sep 30, 2023 | 6.73 Bn |
| Jun 30, 2023 | 6.38 Bn |
| Mar 31, 2023 | 5.92 Bn |
| Dec 31, 2022 | 6.46 Bn |
| Sep 30, 2022 | 5.98 Bn |
| Jun 30, 2022 | 6.05 Bn |
| Mar 31, 2022 | 5.97 Bn |
| Dec 31, 2021 | 6.41 Bn |
| Sep 30, 2021 | 6.14 Bn |
Chemours 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=CC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "CC", "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=CC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();