OPAL Fuels (OPAL) Interest Expenses (2021 - 2026)
OPAL Fuels' Interest Expenses was $8.65 million in Q2 2026, up 30.3% from $6.64 million a year earlier and up 30.1% from the prior quarter.
OPAL Fuels (OPAL) Interest Expenses (2021 - 2026) Analysis & Trends
On a trailing twelve-month basis, OPAL Fuels' Interest Expenses was $28.38 million through Jun 30, 2026, up 66.2% year-over-year; for FY2025, it was $27.52 million, up 27.8% from FY2024.
- Interest Expenses shows a four-year compound annual growth rate of 38.6% (FY2021 to FY2025).
- In earlier years, Interest Expenses was $21.53 million in FY2024, $6.64 million in FY2022 (-11.1%) and $7.47 million in FY2021.
- The Q2 2026 figure marks the highest quarterly Interest Expenses in data going back to Q3 2021.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Plug Power | 2.71 Bn | 1.80 Bn | -1.68 Mn | 16.89 Mn |
| 2 | Rex American Resources | 1.44 Bn | 86.32 Mn | 53.30 Mn | - |
| 3 | Green Plains | 1.06 Bn | 456.27 Mn | 113.03 Mn | 8.13 Mn |
| 4 | Montauk Renewables | 391.06 Mn | 318.84 Mn | - | 1.53 Mn |
| 5 | Clean Energy Fuels | 343.76 Mn | -312.04 Mn | 30.14 Mn | 5.51 Mn |
| 6 | Gevo | 326.35 Mn | 43.33 Mn | 19.80 Mn | 5.63 Mn |
| 7 | OPAL Fuels | 305.82 Mn | 38.43 Mn | 24.47 Mn | 8.65 Mn |
| 8 | Aemetis | 128.25 Mn | 112.00 Mn | 13.52 Mn | 15.17 Mn |
| 9 | Verde Clean Fuels | 47.67 Mn | -150.80 Mn | - | - |
| 10 | Blue Biofuels | 32.35 Mn | 32.16 Mn | - | 19,689.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.65 Mn |
| Mar 31, 2026 | 6.64 Mn |
| Jun 30, 2025 | 6.64 Mn |
| Mar 31, 2025 | 6.45 Mn |
| Mar 31, 2023 | 641,000.00 |
| Dec 31, 2022 | 3.35 Mn |
| Sep 30, 2022 | 776,000.00 |
| Mar 31, 2022 | 3.06 Mn |
| Dec 31, 2021 | 1.81 Mn |
| Sep 30, 2021 | 2.35 Mn |
OPAL Fuels Interest Expenses 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=interest-expenses&ticker=OPAL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "OPAL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=interest-expenses&ticker=OPAL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();