FutureFuel (FF) Price to Earnings (2010 - 2026)
FutureFuel's (FF) quarterly Price to Earnings came in at 17.44 in Q2 2026, up 245.59% on a YoY basis from 5.05 in Q2 2025, and up 312.52% quarter-over-quarter from 8.2 in Q1 2026.
FutureFuel (FF) Price to Earnings (2010 - 2026) Analysis & Trends
FutureFuel (FF) has reported Price to Earnings for 17 consecutive years, with 17.44 the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Price to Earnings rose 245.59% year-over-year to 17.44; the trailing twelve-month figure through Jun 2026 stood at 6.85 (down 23.61% YoY), and the FY2025 full-year result was 2.93, down 119.58% from the prior year.
- Price to Earnings grew to 17.44 in Q2 2026 per FF's latest filing, from 8.2 in the prior quarter.
- Across five years, Price to Earnings topped out at 113.03 in Q3 2023 and bottomed at 210.58 in Q3 2024.
- Historically, Price to Earnings has averaged 3.48 across 5 years, with a median of 1.59 in 2023.
- The widest YoY moves for Price to Earnings: up 628.07% in 2024, down 286.29% in 2024.
- Over 5 years, Price to Earnings stood at 23.82 in 2022, then plunged by 52.22% to 11.38 in 2023, then surged by 628.07% to 82.85 in 2024, then tumbled by 116.22% to 13.43 in 2025, then surged by 229.8% to 17.44 in 2026.
- According to Business Quant data, Price to Earnings over the past three periods registered 17.44, 8.2, and 13.43 for Q2 2026, Q1 2026, and Q4 2025 respectively.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Corning | 137.52 Bn | 135.58 Bn | 1.63 Bn |
| 2 | Qnity Electronics | 26.13 Bn | 25.46 Bn | 666.00 Mn |
| 3 | Ati | 25.40 Bn | 24.74 Bn | 309.80 Mn |
| 4 | International Flavors & Fragrances | 21.90 Bn | 21.36 Bn | 853.00 Mn |
| 5 | DuPont de Nemours | 17.80 Bn | 16.17 Bn | 639.00 Mn |
| 6 | Avery Dennison | 13.06 Bn | 12.84 Bn | 729.40 Mn |
| 7 | Solstice Advanced Materials | 9.35 Bn | 8.61 Bn | 370.00 Mn |
| 8 | Element Solutions | 8.57 Bn | 8.40 Bn | 334.00 Mn |
| 9 | Newmarket | 8.17 Bn | 8.08 Bn | 242.43 Mn |
| 10 | FutureFuel | 232.04 Mn | 197.67 Mn | 15.02 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.44 |
| Mar 31, 2026 | -8.20 |
| Dec 31, 2025 | -13.43 |
| Sep 30, 2025 | -18.22 |
| Jun 30, 2025 | -11.98 |
| Mar 31, 2025 | -9.44 |
| Dec 31, 2024 | 82.85 |
| Sep 30, 2024 | -210.58 |
| Jun 30, 2024 | 23.46 |
| Mar 31, 2024 | 81.36 |
| Dec 31, 2023 | 11.38 |
| Sep 30, 2023 | 113.03 |
| Jun 30, 2023 | -39.28 |
| Mar 31, 2023 | 15.32 |
| Dec 31, 2022 | 23.82 |
| Sep 30, 2022 | 16.75 |
| Jun 30, 2022 | -102.64 |
| Mar 31, 2022 | -34.35 |
| Dec 31, 2021 | 14.96 |
| Sep 30, 2021 | 33.91 |
FutureFuel Price to Earnings 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=price-to-earnings&ticker=FF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=FF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();