FutureFuel (FF) Selling, General & Administrative (2010 - 2026)
FutureFuel (FF) reported Selling, General & Administrative of $3.08 million for Q2 2026, up 38.2% from $2.23 million a year earlier but down 25.7% from the prior quarter.
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Analysis
FutureFuel (FF) Selling, General & Administrative (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, FutureFuel's Selling, General & Administrative came in at $11.81 million, up 15.8% year-over-year; for FY2025, it was $9.7 million, up 4.5% from FY2024.
- Selling, General & Administrative has increased for three consecutive years, with a four-year compound annual growth rate of 96.6% (FY2021 to FY2025).
- By year, Selling, General & Administrative came in at $9.28 million in FY2024 (+0.7%), $9.21 million in FY2023 (+14.7%), $8.03 million in FY2022 and $649,000 in FY2021.
- Five-year quarterly Selling, General & Administrative spans a low of $1.9 million in Q1 2024 and a high of $4.15 million in Q1 2026.
- Year over year, Selling, General & Administrative gained in three of the last six quarters, with growth averaging 18.5%.
- Per Business Quant data, the three quarters before Q2 2026 came in at $4.15 million (Q1 2026), $2.54 million (Q4 2025) and $2.05 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 233.95 Bn | 215.53 Bn | 4.43 Bn | 891.00 Mn |
| 2 | Corning | 107.22 Bn | 99.79 Bn | 1.63 Bn | 608.00 Mn |
| 3 | Sherwin Williams | 83.58 Bn | 82.63 Bn | 3.34 Bn | 2.10 Bn |
| 4 | Air Products & Chemicals | 67.82 Bn | 63.00 Bn | 1.04 Bn | 219.10 Mn |
| 5 | LyondellBasell Industries | 40.87 Bn | 30.38 Bn | 2.04 Bn | 387.00 Mn |
| 6 | Nutrien | 33.14 Bn | 29.97 Bn | 3.25 Bn | 169.00 Mn |
| 7 | Ppg Industries | 24.96 Bn | 17.62 Bn | 1.81 Bn | 931.00 Mn |
| 8 | International Flavors & Fragrances | 23.51 Bn | 21.17 Bn | 853.00 Mn | 437.00 Mn |
| 9 | Qnity Electronics | 23.12 Bn | 20.26 Bn | 666.00 Mn | 200.00 Mn |
| 10 | FutureFuel | 243.22 Mn | 49.61 Mn | 15.02 Mn | 3.08 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.08 Mn |
| Mar 31, 2026 | 4.15 Mn |
| Dec 31, 2025 | 2.54 Mn |
| Sep 30, 2025 | 2.05 Mn |
| Jun 30, 2025 | 2.23 Mn |
| Mar 31, 2025 | 2.88 Mn |
| Dec 31, 2024 | 2.80 Mn |
| Sep 30, 2024 | 2.29 Mn |
| Jun 30, 2024 | 2.29 Mn |
| Mar 31, 2024 | 1.90 Mn |
| Sep 30, 2019 | 2.19 Mn |
| Jun 30, 2019 | 2.09 Mn |
| Mar 31, 2019 | 2.05 Mn |
| Dec 31, 2018 | -17.75 Mn |
| Sep 30, 2018 | 2.42 Mn |
| Jun 30, 2018 | 2.43 Mn |
| Mar 31, 2018 | 2.94 Mn |
| Dec 31, 2017 | -17.78 Mn |
| Sep 30, 2017 | 2.33 Mn |
| Jun 30, 2017 | 2.42 Mn |
API Access
FutureFuel Selling, General & Administrative 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=selling-general-and-administrative&ticker=FF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=FF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();