FTAI Infrastructure (FIP) Return on Sales [ROS] (2021 - 2026)
FTAI Infrastructure's Return on Sales [ROS] was -80.86% in Q2 2026, down 72.84 percentage points from -8.02% a year earlier and down 15.19 percentage points from the prior quarter.
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Analysis
FTAI Infrastructure (FIP) Return on Sales [ROS] (2021 - 2026) Analysis & Trends
On a trailing twelve-month basis, FTAI Infrastructure's Return on Sales [ROS] was -66.70% through Jun 30, 2026, down 69.42 percentage points year-over-year; for FY2025, it was 22.00%, up 64.42 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of +129.50 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was -42.43% in FY2024 (-24.43 pp), -18.00% in FY2023 (+31.55 pp), -49.55% in FY2022 (+28.60 pp) and -78.15% in FY2021 (+29.35 pp).
- The Q2 2026 figure marks the lowest quarterly Return on Sales [ROS] since Q4 2024.
- Compared with a year earlier, Return on Sales [ROS] was higher in four of the last eight quarters, with an average year-over-year change of -21.18 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q2 2022 (a gain of 168.77 percentage points); the worst was Q1 2026 (a drop of 192.29 percentage points).
- Per Business Quant data, FIP's Return on Sales [ROS] in the three quarters before Q2 2026 was -65.66% (Q1 2026), -45.68% (Q4 2025) and -70.76% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 172.47 Bn | 164.72 Bn | - | 40.89% |
| 2 | United Parcel Service | 92.24 Bn | 69.07 Bn | - | 7.63% |
| 3 | Csx | 90.81 Bn | 86.03 Bn | - | 39.08% |
| 4 | Canadian Pacific Kansas City | 81.61 Bn | 80.64 Bn | - | 35.25% |
| 5 | Fedex | 72.98 Bn | 39.17 Bn | - | 6.20% |
| 6 | Norfolk Southern | 71.87 Bn | 66.34 Bn | - | 32.61% |
| 7 | Delta Air Lines | 57.23 Bn | 39.41 Bn | - | 7.20% |
| 8 | United Airlines Holdings | 36.65 Bn | -21.05 Bn | - | 8.09% |
| 9 | Old Dominion Freight Line | 34.12 Bn | 32.96 Bn | - | 28.46% |
| 10 | FTAI Infrastructure | 406.48 Mn | 243.92 Mn | - | -80.86% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -80.86% |
| Mar 31, 2026 | -65.66% |
| Dec 31, 2025 | -45.68% |
| Sep 30, 2025 | -70.76% |
| Jun 30, 2025 | -56.43% |
| Mar 31, 2025 | 81.79% |
| Dec 31, 2024 | -152.71% |
| Sep 30, 2024 | -51.67% |
| Jun 30, 2024 | -56.40% |
| Mar 31, 2024 | -58.75% |
| Dec 31, 2023 | -49.12% |
| Sep 30, 2023 | -62.00% |
| Jun 30, 2023 | -40.39% |
| Mar 31, 2023 | -44.69% |
| Dec 31, 2022 | -79.41% |
| Sep 30, 2022 | -53.00% |
| Jun 30, 2022 | -54.67% |
| Mar 31, 2022 | -105.54% |
| Dec 31, 2021 | -55.14% |
| Sep 30, 2021 | -98.63% |
API Access
FTAI Infrastructure Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=FIP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=FIP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();