FTAI Infrastructure (FIP) Other Operating Expenses (2021 - 2026)
FTAI Infrastructure's Other Operating Expenses was $117.33 million in Q2 2026, up 57.6% from $74.44 million a year earlier but down 2.5% from the prior quarter.
FTAI Infrastructure (FIP) Other Operating Expenses (2021 - 2026) Analysis & Trends
On a trailing twelve-month basis, FTAI Infrastructure's Other Operating Expenses was $499.19 million through Jun 30, 2026, up 39.7% year-over-year; for FY2025, it came in at $449.58 million, up 9.8% from FY2024.
- Other Operating Expenses has now increased for five consecutive years, with a five-year compound annual growth rate of 31.9% (FY2020 to FY2025).
- In earlier years, Other Operating Expenses was $409.32 million in FY2024 (+18.1%), $346.73 million in FY2023 (+19.2%), $290.77 million in FY2022 (+74.0%) and $167.09 million in FY2021 (+48.6%).
- Quarterly Other Operating Expenses has moved between $32.09 million (Q3 2021) and $153.03 million (Q4 2024) over five years.
- Compared with a year earlier, Other Operating Expenses was higher in six of the last eight quarters, with growth averaging 40.9%.
- The best year-over-year quarter for Other Operating Expenses over five years was Q2 2022 (growth of 184.4%); the worst was Q3 2024 (a decline of 8.3%).
- Per Business Quant data, FIP's Other Operating Expenses in the three quarters before Q2 2026 was $120.39 million (Q1 2026), $141.85 million (Q4 2025) and $119.61 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 161.62 Bn | 156.15 Bn | - |
| 2 | Csx | 86.16 Bn | 82.37 Bn | - |
| 3 | Canadian Pacific Kansas City | 74.78 Bn | 74.50 Bn | - |
| 4 | United Parcel Service | 70.01 Bn | 46.94 Bn | - |
| 5 | Norfolk Southern | 69.45 Bn | 64.09 Bn | - |
| 6 | Fedex | 67.46 Bn | 33.40 Bn | - |
| 7 | Delta Air Lines | 54.88 Bn | 37.06 Bn | - |
| 8 | Old Dominion Freight Line | 36.07 Bn | 35.33 Bn | - |
| 9 | Ryanair Holdings | 28.71 Bn | 12.72 Bn | 3.13 Bn |
| 10 | FTAI Infrastructure | 326.18 Mn | -25.33 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 117.33 Mn |
| Mar 31, 2026 | 120.39 Mn |
| Dec 31, 2025 | 141.85 Mn |
| Sep 30, 2025 | 119.61 Mn |
| Jun 30, 2025 | 74.44 Mn |
| Mar 31, 2025 | 67.05 Mn |
| Dec 31, 2024 | 153.03 Mn |
| Sep 30, 2024 | 62.77 Mn |
| Jun 30, 2024 | 61.23 Mn |
| Mar 31, 2024 | 64.58 Mn |
| Dec 31, 2023 | 80.58 Mn |
| Sep 30, 2023 | 68.42 Mn |
| Jun 30, 2023 | 62.78 Mn |
| Mar 31, 2023 | 65.16 Mn |
| Dec 31, 2022 | 81.03 Mn |
| Sep 30, 2022 | 60.93 Mn |
| Jun 30, 2022 | 49.23 Mn |
| Mar 31, 2022 | 38.07 Mn |
| Dec 31, 2021 | 51.57 Mn |
| Sep 30, 2021 | 32.09 Mn |
FTAI Infrastructure Other 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=other-operating-expenses&ticker=FIP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=FIP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();