FutureFuel (FF) Operating Leases (2026)
FutureFuel (FF) reported Operating Leases of $263,000 for Q2 2026.
Analysis
FutureFuel (FF) Operating Leases (2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Linde | 231.45 Bn | 213.03 Bn | 4.43 Bn |
| 2 | Corning | 116.59 Bn | 109.15 Bn | 1.63 Bn |
| 3 | Sherwin Williams | 82.19 Bn | 81.23 Bn | 3.34 Bn |
| 4 | Air Products & Chemicals | 67.40 Bn | 62.58 Bn | 1.04 Bn |
| 5 | LyondellBasell Industries | 40.93 Bn | 30.44 Bn | 2.04 Bn |
| 6 | Nutrien | 33.12 Bn | 29.95 Bn | 3.25 Bn |
| 7 | Qnity Electronics | 25.20 Bn | 22.33 Bn | 666.00 Mn |
| 8 | Ppg Industries | 24.54 Bn | 17.20 Bn | 1.81 Bn |
| 9 | Ati | 24.54 Bn | 22.56 Bn | 309.80 Mn |
| 10 | FutureFuel | 245.29 Mn | 51.69 Mn | 15.02 Mn |
API Access
FutureFuel Operating Leases 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=operating-leases&ticker=FF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=FF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();