New Fortress Energy (NFE) Operating Expenses (2018 - 2026)
New Fortress Energy's Operating Expenses was $461.22 million in Q2 2026, down 33.4% from $692.48 million a year earlier but up 2.0% from the prior quarter.
New Fortress Energy (NFE) Operating Expenses (2018 - 2026) Analysis & Trends
On a trailing twelve-month basis, New Fortress Energy's Operating Expenses was $2.36 billion through Jun 30, 2026, up 11.6% year-over-year; for FY2025, it came in at $2.62 billion, up 43.4% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 34.0% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $1.83 billion in FY2024 (+25.8%), $1.45 billion in FY2023 (-10.8%), $1.63 billion in FY2022 (+50.5%) and $1.08 billion in FY2021 (+78.6%).
- Quarterly Operating Expenses has moved between $250.72 million (Q3 2021) and $1.03 billion (Q4 2025) over five years.
- Compared with a year earlier, Operating Expenses was higher in four of the last eight quarters, with growth averaging 24.0%.
- The best year-over-year quarter for Operating Expenses over five years was Q4 2021 (growth of 236.1%); the worst was Q2 2026 (a decline of 33.4%).
- Per Business Quant data, NFE's Operating Expenses in the three quarters before Q2 2026 was $452.33 million (Q1 2026), $1.03 billion (Q4 2025) and $421.76 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Enbridge | 104.58 Bn | 100.18 Bn | 4.84 Bn | 19.09 Bn |
| 2 | Williams Companies | 86.03 Bn | 84.75 Bn | 2.54 Bn | 1.87 Bn |
| 3 | Enterprise Products Partners | 80.00 Bn | 78.39 Bn | - | 16.13 Bn |
| 4 | Kinder Morgan | 74.74 Bn | 74.44 Bn | 3.07 Bn | 3.13 Bn |
| 5 | Energy Transfer | 69.45 Bn | 62.63 Bn | 7.40 Bn | 30.76 Bn |
| 6 | Tc Energy | 64.24 Bn | 60.32 Bn | 2.81 Bn | -1.06 Bn |
| 7 | Targa Resources | 62.85 Bn | 62.33 Bn | 2.14 Bn | 354.10 Mn |
| 8 | Cheniere Energy | 59.18 Bn | 54.01 Bn | 5.29 Bn | 1.44 Bn |
| 9 | Mplx | 59.17 Bn | 52.74 Bn | 2.91 Bn | 1.93 Bn |
| 10 | New Fortress Energy | 21.22 Mn | -604.05 Mn | 102.12 Mn | 461.22 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 461.22 Mn |
| Mar 31, 2026 | 452.33 Mn |
| Dec 31, 2025 | 1.03 Bn |
| Sep 30, 2025 | 421.76 Mn |
| Jun 30, 2025 | 692.48 Mn |
| Mar 31, 2025 | 484.80 Mn |
| Dec 31, 2024 | 449.29 Mn |
| Sep 30, 2024 | 489.01 Mn |
| Jun 30, 2024 | 391.35 Mn |
| Mar 31, 2024 | 500.82 Mn |
| Dec 31, 2023 | 407.80 Mn |
| Sep 30, 2023 | 364.87 Mn |
| Jun 30, 2023 | 370.38 Mn |
| Mar 31, 2023 | 311.91 Mn |
| Dec 31, 2022 | 295.88 Mn |
| Sep 30, 2022 | 545.20 Mn |
| Jun 30, 2022 | 451.16 Mn |
| Mar 31, 2022 | 338.66 Mn |
| Dec 31, 2021 | 429.14 Mn |
| Sep 30, 2021 | 250.72 Mn |
New Fortress Energy Operating 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=operating-expenses&ticker=NFE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "NFE", "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-expenses&ticker=NFE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();