FutureFuel (FF) Return on Sales [ROS] (2010 - 2026)
FutureFuel (FF) recorded Return on Sales [ROS] of 14.29% in Q2 2026, up 57.89 percentage points from -43.60% a year earlier and up 79.52 percentage points from the prior quarter.
FutureFuel (FF) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a TTM basis, FutureFuel's Return on Sales [ROS] came in at -20.77% as of Jun 30, 2026, up 1.12 percentage points year-over-year; for FY2025, it came in at -55.35%, down 57.97 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of -66.27 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at 2.62% in FY2024 (-4.81 pp), 7.43% in FY2023 (+3.00 pp), 4.43% in FY2022 (+0.42 pp) and 4.01% in FY2021 (-6.91 pp).
- The Q2 2026 figure is the highest quarterly Return on Sales [ROS] since Q4 2023.
- On a year-over-year basis, Return on Sales [ROS] rose in two of the last eight quarters, with an average year-over-year change of -23.81 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 57.89 percentage points in Q2 2026, against a drop of 114.75 percentage points in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at -65.23% (Q1 2026), -62.94% (Q4 2025) and -42.91% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 235.79 Bn | 217.37 Bn | 4.43 Bn | 27.49% |
| 2 | Corning | 106.66 Bn | 99.23 Bn | 1.63 Bn | 15.49% |
| 3 | Sherwin Williams | 84.26 Bn | 83.30 Bn | 3.34 Bn | 18.18% |
| 4 | Air Products & Chemicals | 68.55 Bn | 63.74 Bn | 1.04 Bn | -66.34% |
| 5 | LyondellBasell Industries | 42.27 Bn | 31.78 Bn | 2.04 Bn | 16.81% |
| 6 | Nutrien | 33.55 Bn | 30.38 Bn | 3.25 Bn | 16.44% |
| 7 | Ppg Industries | 25.18 Bn | 17.84 Bn | 1.81 Bn | 14.73% |
| 8 | International Flavors & Fragrances | 23.86 Bn | 21.52 Bn | 853.00 Mn | 8.09% |
| 9 | Dow | 22.91 Bn | 6.41 Bn | 2.17 Bn | 7.62% |
| 10 | FutureFuel | 243.92 Mn | 50.31 Mn | 15.02 Mn | 14.29% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.29% |
| Mar 31, 2026 | -65.23% |
| Dec 31, 2025 | -62.94% |
| Sep 30, 2025 | -42.91% |
| Jun 30, 2025 | -43.60% |
| Mar 31, 2025 | -110.98% |
| Dec 31, 2024 | 2.62% |
| Sep 30, 2024 | -5.65% |
| Jun 30, 2024 | 7.53% |
| Mar 31, 2024 | 3.77% |
| Dec 31, 2023 | 22.18% |
| Sep 30, 2023 | 0.25% |
| Jun 30, 2023 | -13.58% |
| Mar 31, 2023 | 24.60% |
| Dec 31, 2022 | 10.00% |
| Sep 30, 2022 | 14.30% |
| Jun 30, 2022 | -1.29% |
| Mar 31, 2022 | -22.73% |
| Dec 31, 2021 | 20.38% |
| Sep 30, 2021 | 6.22% |
FutureFuel 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=FF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "FF", "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=FF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();