FTAI Infrastructure (FIP) Return on Capital Employed [ROCE] (2022 - 2026)
FTAI Infrastructure's Return on Capital Employed [ROCE] was -10.03% in Q2 2026, down 10.30 percentage points from 0.27% a year earlier and down 4.46 percentage points from the prior quarter.
FTAI Infrastructure (FIP) Return on Capital Employed [ROCE] (2022 - 2026) Analysis & Trends
For FY2025, Return on Capital Employed [ROCE] at FTAI Infrastructure came in at 3.03%, up 9.64 percentage points from FY2024.
- Return on Capital Employed [ROCE] shows a three-year change of +8.63 percentage points (FY2022 to FY2025).
- In earlier years, Return on Capital Employed [ROCE] was -6.61% in FY2024 (-4.08 pp), -2.53% in FY2023 (+3.07 pp) and -5.60% in FY2022.
- The Q2 2026 figure marks the lowest quarterly Return on Capital Employed [ROCE] in data going back to Q3 2022.
- Compared with a year earlier, Return on Capital Employed [ROCE] was higher in five of the last eight quarters, with an average year-over-year change of -0.80 percentage points.
- The best year-over-year quarter for Return on Capital Employed [ROCE] over five years was Q4 2025 (a gain of 5.50 percentage points); the worst was Q2 2026 (a drop of 10.30 percentage points).
- Per Business Quant data, FIP's Return on Capital Employed [ROCE] in the three quarters before Q2 2026 was -5.57% (Q1 2026), -1.02% (Q4 2025) and -2.45% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 172.47 Bn | 164.72 Bn | - | 15.93% |
| 2 | United Parcel Service | 92.24 Bn | 69.07 Bn | - | 11.55% |
| 3 | Csx | 90.81 Bn | 86.03 Bn | - | 13.38% |
| 4 | Canadian Pacific Kansas City | 81.61 Bn | 80.64 Bn | - | 7.22% |
| 5 | Fedex | 72.98 Bn | 39.17 Bn | - | 7.01% |
| 6 | Norfolk Southern | 71.87 Bn | 66.34 Bn | - | 9.77% |
| 7 | Delta Air Lines | 57.23 Bn | 39.41 Bn | - | 10.05% |
| 8 | United Airlines Holdings | 36.65 Bn | -21.05 Bn | - | 8.46% |
| 9 | Old Dominion Freight Line | 34.12 Bn | 32.96 Bn | - | 29.43% |
| 10 | FTAI Infrastructure | 406.48 Mn | 243.92 Mn | - | -10.03% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -10.03% |
| Mar 31, 2026 | -6.68% |
| Dec 31, 2025 | -2.99% |
| Sep 30, 2025 | -6.75% |
| Jun 30, 2025 | -4.01% |
| Mar 31, 2025 | -4.70% |
| Dec 31, 2024 | -12.19% |
| Sep 30, 2024 | -7.90% |
| Jun 30, 2024 | -8.24% |
| Mar 31, 2024 | -8.08% |
| Dec 31, 2023 | -7.05% |
| Sep 30, 2023 | -7.74% |
| Jun 30, 2023 | -7.32% |
| Mar 31, 2023 | -7.30% |
| Dec 31, 2022 | -7.81% |
| Sep 30, 2022 | -6.43% |
FTAI Infrastructure 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=FIP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "FIP", "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=FIP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();