Chemours (CC) Return on Sales [ROS] (2014 - 2026)
Chemours' Return on Sales [ROS] came in at -13.39% for Q2 2026, down 1.50 percentage points from -11.89% a year earlier and down 15.27 percentage points from the prior quarter.
Chemours (CC) Return on Sales [ROS] (2014 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Chemours reported Return on Sales [ROS] of -1.92%, down 0.91 percentage points year-over-year; for FY2025, it was -1.10%, down 6.62 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of -8.49 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 5.52% in FY2024 (+9.55 pp), -4.03% in FY2023 (-15.33 pp), 11.30% in FY2022 (+0.65 pp) and 10.65% in FY2021 (+3.27 pp).
- The Q2 2026 figure represents the lowest quarterly Return on Sales [ROS] since Q2 2023.
- Year-over-year, Return on Sales [ROS] has declined for three consecutive quarters, with an average year-over-year change of -2.43 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q2 2024 (a gain of 31.90 percentage points), and the weakest in Q2 2023 (a drop of 35.19 percentage points).
- Business Quant data shows CC's Return on Sales [ROS] at 1.88% (Q1 2026), -0.38% (Q4 2025) and 5.42% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 216.41 Bn | 199.52 Bn | 4.43 Bn | 27.49% |
| 2 | Corning | 138.24 Bn | 131.38 Bn | 1.63 Bn | 15.49% |
| 3 | Sherwin Williams | 77.94 Bn | 76.98 Bn | 3.34 Bn | 18.18% |
| 4 | Air Products & Chemicals | 60.86 Bn | 58.76 Bn | 1.04 Bn | -66.34% |
| 5 | LyondellBasell Industries | 37.33 Bn | 26.95 Bn | 2.04 Bn | 16.81% |
| 6 | Nutrien | 33.61 Bn | 30.48 Bn | 3.25 Bn | 28.51% |
| 7 | Qnity Electronics | 26.88 Bn | 24.31 Bn | 666.00 Mn | 25.75% |
| 8 | Ati | 26.00 Bn | 24.15 Bn | 309.80 Mn | 17.45% |
| 9 | Ppg Industries | 23.27 Bn | 16.07 Bn | 1.81 Bn | 14.73% |
| 10 | Chemours | 2.03 Bn | -487.76 Mn | 286.00 Mn | -13.39% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -13.39% |
| Mar 31, 2026 | 1.88% |
| Dec 31, 2025 | -0.38% |
| Sep 30, 2025 | 5.42% |
| Jun 30, 2025 | -11.89% |
| Mar 31, 2025 | 3.87% |
| Dec 31, 2024 | 4.49% |
| Sep 30, 2024 | 1.26% |
| Jun 30, 2024 | 8.04% |
| Mar 31, 2024 | 8.44% |
| Dec 31, 2023 | -0.44% |
| Sep 30, 2023 | -3.06% |
| Jun 30, 2023 | -23.86% |
| Mar 31, 2023 | 13.04% |
| Dec 31, 2022 | -0.67% |
| Sep 30, 2022 | 14.69% |
| Jun 30, 2022 | 11.33% |
| Mar 31, 2022 | 17.23% |
| Dec 31, 2021 | 12.89% |
| Sep 30, 2021 | 16.25% |
Chemours Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=CC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=CC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();