Chemours (CC) Non Operating Interest Expenses (2015 - 2026)
Chemours' Non Operating Interest Expenses was $68 million in Q2 2026, up 1.5% from $67 million a year earlier but down 1.4% from the prior quarter.
Chemours (CC) Non Operating Interest Expenses (2015 - 2026) Analysis & Trends
On a trailing twelve-month basis, Chemours' Non Operating Interest Expenses was $273 million through Jun 30, 2026, up 1.9% year-over-year; for FY2025, it came in at $269 million, up 2.3% from FY2024.
- Non Operating Interest Expenses has now increased for three consecutive years, with a five-year compound annual growth rate of 5.1% (FY2020 to FY2025).
- In earlier years, Non Operating Interest Expenses was $263 million in FY2024 (+26.4%), $208 million in FY2023 (+27.6%), $163 million in FY2022 (-11.9%) and $185 million in FY2021 (-11.9%).
- Quarterly Non Operating Interest Expenses has moved between $40 million (Q2 2022) and $69 million (Q1 2026) over five years.
- Compared with a year earlier, Non Operating Interest Expenses has increased for three straight quarters, with growth averaging 5.5% over the last eight quarters.
- The best year-over-year quarter for Non Operating Interest Expenses over five years was Q4 2023 (growth of 57.5%); the worst was Q1 2022 (a decline of 16.3%).
- Per Business Quant data, CC's Non Operating Interest Expenses in the three quarters before Q2 2026 was $69 million (Q1 2026), $68 million (Q4 2025) and $68 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 218.80 Bn | 201.92 Bn | 4.43 Bn | 61.00 Mn |
| 2 | Corning | 132.43 Bn | 125.56 Bn | 1.63 Bn | 94.00 Mn |
| 3 | Sherwin Williams | 78.49 Bn | 77.53 Bn | 3.34 Bn | 135.90 Mn |
| 4 | Air Products & Chemicals | 61.97 Bn | 59.87 Bn | 1.04 Bn | 49.40 Mn |
| 5 | Corteva | 51.82 Bn | 40.62 Bn | 3.66 Bn | 47.00 Mn |
| 6 | LyondellBasell Industries | 37.12 Bn | 26.74 Bn | 2.04 Bn | 138.00 Mn |
| 7 | Nutrien | 33.86 Bn | 30.73 Bn | 3.25 Bn | 173.00 Mn |
| 8 | Qnity Electronics | 26.31 Bn | 23.73 Bn | 666.00 Mn | 61.00 Mn |
| 9 | Ati | 25.78 Bn | 23.93 Bn | 309.80 Mn | - |
| 10 | Chemours | 2.04 Bn | -475.72 Mn | 286.00 Mn | 68.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 68.00 Mn |
| Mar 31, 2026 | 69.00 Mn |
| Dec 31, 2025 | 68.00 Mn |
| Sep 30, 2025 | 68.00 Mn |
| Jun 30, 2025 | 67.00 Mn |
| Mar 31, 2025 | 66.00 Mn |
| Dec 31, 2024 | 67.00 Mn |
| Sep 30, 2024 | 68.00 Mn |
| Jun 30, 2024 | 66.00 Mn |
| Mar 31, 2024 | 63.00 Mn |
| Dec 31, 2023 | 63.00 Mn |
| Sep 30, 2023 | 55.00 Mn |
| Jun 30, 2023 | 48.00 Mn |
| Mar 31, 2023 | 42.00 Mn |
| Dec 31, 2022 | 40.00 Mn |
| Sep 30, 2022 | 41.00 Mn |
| Jun 30, 2022 | 40.00 Mn |
| Mar 31, 2022 | 41.00 Mn |
| Dec 31, 2021 | 43.00 Mn |
| Sep 30, 2021 | 45.00 Mn |
Chemours Non Operating Interest 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=non-operating-interest-expenses&ticker=CC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=CC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();