New Fortress Energy (NFE) Return on Capital Employed [ROCE] (2019 - 2026)
New Fortress Energy's Return on Capital Employed [ROCE] was -58.72% in Q2 2026, down 57.82 percentage points from -0.90% a year earlier but up 27.40 percentage points from the prior quarter.
New Fortress Energy (NFE) Return on Capital Employed [ROCE] (2019 - 2026) Analysis & Trends
For FY2025, Return on Capital Employed [ROCE] at New Fortress Energy came in at -36.30%, down 41.60 percentage points from FY2024.
- Return on Capital Employed [ROCE] shows a five-year change of -24.57 percentage points (FY2020 to FY2025).
- In earlier years, Return on Capital Employed [ROCE] was 5.30% in FY2024 (-7.33 pp), 12.63% in FY2023 (+0.10 pp), 12.54% in FY2022 (+6.30 pp) and 6.24% in FY2021 (+17.96 pp).
- Quarterly Return on Capital Employed [ROCE] has moved between -86.12% (Q1 2026) and 13.54% (Q2 2023) over five years.
- Compared with a year earlier, Return on Capital Employed [ROCE] has declined for 11 straight quarters, with an average year-over-year change of -29.14 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Capital Employed [ROCE] over five years was Q3 2021 (a gain of 18.28 percentage points); the worst was Q1 2026 (a drop of 88.99 percentage points).
- Per Business Quant data, NFE's Return on Capital Employed [ROCE] in the three quarters before Q2 2026 was -86.12% (Q1 2026), -42.73% (Q4 2025) and -6.52% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Enbridge | 103.93 Bn | 99.53 Bn | 4.84 Bn | 5.52% |
| 2 | Williams Companies | 82.08 Bn | 79.11 Bn | 2.59 Bn | 7.90% |
| 3 | Enterprise Products Partners | 79.97 Bn | 78.33 Bn | - | 12.76% |
| 4 | Kinder Morgan | 68.25 Bn | 67.10 Bn | 2.97 Bn | 7.64% |
| 5 | Tc Energy | 65.66 Bn | 62.42 Bn | - | - |
| 6 | Energy Transfer | 65.65 Bn | 61.48 Bn | 6.57 Bn | 8.92% |
| 7 | Cheniere Energy | 59.17 Bn | 53.31 Bn | 2.97 Bn | 15.11% |
| 8 | Targa Resources | 58.63 Bn | 58.09 Bn | 2.02 Bn | 16.29% |
| 9 | Mplx | 57.30 Bn | 51.33 Bn | 3.19 Bn | 13.41% |
| 10 | New Fortress Energy | 25.76 Mn | -599.51 Mn | 102.12 Mn | -58.72% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -58.72% |
| Mar 31, 2026 | -86.12% |
| Dec 31, 2025 | -42.73% |
| Sep 30, 2025 | -6.52% |
| Jun 30, 2025 | -0.90% |
| Mar 31, 2025 | 2.87% |
| Dec 31, 2024 | 4.94% |
| Sep 30, 2024 | 6.99% |
| Jun 30, 2024 | 7.29% |
| Mar 31, 2024 | 9.34% |
| Dec 31, 2023 | 11.07% |
| Sep 30, 2023 | 11.36% |
| Jun 30, 2023 | 13.54% |
| Mar 31, 2023 | 12.76% |
| Dec 31, 2022 | 11.96% |
| Sep 30, 2022 | 10.43% |
| Jun 30, 2022 | 8.54% |
| Mar 31, 2022 | 6.54% |
| Dec 31, 2021 | 3.85% |
| Sep 30, 2021 | 0.65% |
New Fortress Energy Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=NFE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=NFE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();