FutureFuel (FF) EV to EBITDA (2010 - 2026)
FutureFuel's (FF) quarterly EV to EBITDA came in at 14.57 in Q2 2026, up 402.89% on a YoY basis from 2.9 in Q2 2025, and up 307.24% quarter-over-quarter from 7.03 in Q1 2026.
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Analysis
FutureFuel (FF) EV to EBITDA (2010 - 2026) Analysis & Trends
FutureFuel (FF) has reported EV to EBITDA for 17 consecutive years, with 14.57 the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, EV to EBITDA rose 402.89% year-over-year to 14.57; the trailing twelve-month figure through Jun 2026 stood at 5.15 (down 149.94% YoY), and the FY2025 full-year result was 1.67, down 108.72% from the prior year.
- EV to EBITDA rose to 14.57 in Q2 2026 per FF's latest filing, from 7.03 in the prior quarter.
- Across five years, EV to EBITDA topped out at 363.16 in Q3 2023 and bottomed at 99.02 in Q2 2022.
- Historically, EV to EBITDA has averaged 19.45 across 5 years, with a median of 0.75 in 2023.
- The sharpest annual moves came in 2023 and 2025: EV to EBITDA soared 11194.31% in 2023, then sank 123.95% in 2025.
- Over 5 years, EV to EBITDA stood at 12.13 in 2022, then plunged by 81.16% to 2.29 in 2023, then jumped by 3217.92% to 75.84 in 2024, then slumped by 109.36% to 7.09 in 2025, then jumped by 305.32% to 14.57 in 2026.
- According to Business Quant data, EV to EBITDA over the past three periods registered 14.57, 7.03, and 7.09 for Q2 2026, Q1 2026, and Q4 2025 respectively.
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.57 |
| Mar 31, 2026 | -7.03 |
| Dec 31, 2025 | -7.09 |
| Sep 30, 2025 | -8.67 |
| Jun 30, 2025 | -4.81 |
| Mar 31, 2025 | -3.79 |
| Dec 31, 2024 | 75.84 |
| Sep 30, 2024 | -40.94 |
| Jun 30, 2024 | 20.08 |
| Mar 31, 2024 | 68.78 |
| Dec 31, 2023 | 2.29 |
| Sep 30, 2023 | 363.16 |
| Jun 30, 2023 | -19.05 |
| Mar 31, 2023 | 7.68 |
| Dec 31, 2022 | 12.13 |
| Sep 30, 2022 | 3.22 |
| Jun 30, 2022 | -99.02 |
| Mar 31, 2022 | -27.28 |
| Dec 31, 2021 | 6.86 |
| Sep 30, 2021 | 24.44 |
API Access
FutureFuel EV to EBITDA 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=ev-to-ebitda&ticker=FF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=FF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();