FTAI Infrastructure (FIP) Operating Expenses (2021 - 2026)
FTAI Infrastructure's Operating Expenses came in at $233.4 million for Q2 2026, up 80.8% from $129.08 million a year earlier and up 25.8% from the prior quarter.
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Analysis
FTAI Infrastructure (FIP) Operating Expenses (2021 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, FTAI Infrastructure reported Operating Expenses of $681.2 million, up 41.5% year-over-year; for FY2025, it came in at $494.55 million, up 14.7% from FY2024.
- Operating Expenses has increased in each of the last five years, with a five-year compound annual growth rate of 31.9% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $430.99 million in FY2024 (+18.1%), $364.85 million in FY2023 (+14.2%), $319.61 million in FY2022 (+66.7%) and $191.76 million in FY2021 (+54.9%).
- The Q2 2026 figure represents the highest quarterly Operating Expenses in data going back to Q2 2021.
- Year-over-year, Operating Expenses increased in six of the last eight quarters, with growth averaging 39.7%.
- The fastest year-over-year change in Operating Expenses over five years came in Q2 2022 (growth of 118.9%), and the weakest in Q4 2025 (a decline of 10.3%).
- Business Quant data shows FIP's Operating Expenses at $185.55 million (Q1 2026), $142.24 million (Q4 2025) and $120 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.83 Bn | 157.35 Bn | - | 4.10 Bn |
| 2 | Csx | 86.94 Bn | 83.15 Bn | - | 2.43 Bn |
| 3 | Canadian Pacific Kansas City | 76.07 Bn | 75.78 Bn | - | 1.95 Bn |
| 4 | United Parcel Service | 70.39 Bn | 47.31 Bn | - | 21.90 Bn |
| 5 | Norfolk Southern | 70.35 Bn | 64.99 Bn | - | 2.34 Bn |
| 6 | Fedex | 68.01 Bn | 33.95 Bn | - | 23.46 Bn |
| 7 | Delta Air Lines | 55.83 Bn | 38.01 Bn | - | 17.89 Bn |
| 8 | Old Dominion Freight Line | 36.82 Bn | 36.08 Bn | - | 1.09 Bn |
| 9 | Ryanair Holdings | 28.96 Bn | 12.97 Bn | 3.13 Bn | 4.43 Bn |
| 10 | FTAI Infrastructure | 333.27 Mn | -18.24 Mn | - | 233.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 233.40 Mn |
| Mar 31, 2026 | 185.55 Mn |
| Dec 31, 2025 | 142.24 Mn |
| Sep 30, 2025 | 120.00 Mn |
| Jun 30, 2025 | 129.08 Mn |
| Mar 31, 2025 | 103.23 Mn |
| Dec 31, 2024 | 158.60 Mn |
| Sep 30, 2024 | 90.58 Mn |
| Jun 30, 2024 | 87.93 Mn |
| Mar 31, 2024 | 93.88 Mn |
| Dec 31, 2023 | 86.93 Mn |
| Sep 30, 2023 | 94.94 Mn |
| Jun 30, 2023 | 91.09 Mn |
| Mar 31, 2023 | 91.89 Mn |
| Dec 31, 2022 | 85.04 Mn |
| Sep 30, 2022 | 87.69 Mn |
| Jun 30, 2022 | 80.98 Mn |
| Mar 31, 2022 | 65.89 Mn |
| Dec 31, 2021 | 60.38 Mn |
| Sep 30, 2021 | 60.90 Mn |
API Access
FTAI Infrastructure 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=FIP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=FIP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();