CF Industries Holdings (CF) Return on Sales [ROS] (2009 - 2026)
CF Industries Holdings' Return on Sales [ROS] came in at 50.45% for Q2 2026, up 16.16 percentage points from 34.29% a year earlier and up 7.00 percentage points from the prior quarter.
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Analysis
CF Industries Holdings (CF) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, CF Industries Holdings reported Return on Sales [ROS] of 41.10%, up 11.51 percentage points year-over-year; for FY2025, it was 32.47%, up 3.05 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of +17.36 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 29.41% in FY2024 (-4.22 pp), 33.63% in FY2023 (-14.62 pp), 48.25% in FY2022 (+21.80 pp) and 26.45% in FY2021 (+11.34 pp).
- The Q2 2026 figure represents the highest quarterly Return on Sales [ROS] since Q2 2022.
- Year-over-year, Return on Sales [ROS] has increased for four consecutive quarters, with an average year-over-year change of +6.79 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q3 2022 (a gain of 39.44 percentage points), and the weakest in Q1 2024 (a drop of 20.44 percentage points).
- Business Quant data shows CF's Return on Sales [ROS] at 43.45% (Q1 2026), 32.96% (Q4 2025) and 34.96% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 234.56 Bn | 217.67 Bn | 4.43 Bn | 27.49% |
| 2 | Corning | 106.49 Bn | 99.63 Bn | 1.63 Bn | 15.49% |
| 3 | Sherwin Williams | 81.85 Bn | 80.89 Bn | 3.34 Bn | 18.18% |
| 4 | Air Products & Chemicals | 68.38 Bn | 66.28 Bn | 1.04 Bn | -66.34% |
| 5 | LyondellBasell Industries | 42.93 Bn | 32.55 Bn | 2.04 Bn | 16.81% |
| 6 | Nutrien | 33.61 Bn | 30.47 Bn | 3.25 Bn | 16.44% |
| 7 | Ppg Industries | 24.59 Bn | 17.39 Bn | 1.81 Bn | 14.73% |
| 8 | International Flavors & Fragrances | 24.03 Bn | 21.72 Bn | 853.00 Mn | 8.09% |
| 9 | Dow | 23.60 Bn | 9.04 Bn | 1.38 Bn | 6.93% |
| 10 | CF Industries Holdings | 18.26 Bn | 13.09 Bn | 1.15 Bn | 50.45% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 50.45% |
| Mar 31, 2026 | 43.45% |
| Dec 31, 2025 | 32.96% |
| Sep 30, 2025 | 34.96% |
| Jun 30, 2025 | 34.29% |
| Mar 31, 2025 | 27.36% |
| Dec 31, 2024 | 28.94% |
| Sep 30, 2024 | 26.57% |
| Jun 30, 2024 | 40.59% |
| Mar 31, 2024 | 20.61% |
| Dec 31, 2023 | 27.12% |
| Sep 30, 2023 | 19.17% |
| Jun 30, 2023 | 41.35% |
| Mar 31, 2023 | 41.05% |
| Dec 31, 2022 | 46.43% |
| Sep 30, 2022 | 32.31% |
| Jun 30, 2022 | 52.46% |
| Mar 31, 2022 | 57.81% |
| Dec 31, 2021 | 44.45% |
| Sep 30, 2021 | -7.12% |
API Access
CF Industries Holdings 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=CF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "CF", "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=CF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();