FTAI Infrastructure (FIP) Price to Book (2022 - 2025)
FTAI Infrastructure's (FIP) Price to Book came in at 2.80 for Q3 2025, down 33.4% from 4.20 a year earlier and down 11.0% from the prior quarter.
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Analysis
FTAI Infrastructure (FIP) Price to Book (2022 - 2025) Analysis & Trends
For FY2024, FTAI Infrastructure's Price to Book stood at 11.01.
- In prior years, FTAI Infrastructure's Price to Book was 0.95 in FY2023 (+69.5%) and 0.56 in FY2022.
- Quarterly Price to Book has run from a low of 0.43 in Q3 2022 to a high of 11.01 in Q4 2024 over five years.
- On a year-over-year basis, Price to Book increased in five of the last seven quarters, with growth averaging 160.7%.
- The strongest year-over-year quarter for Price to Book in the past five years was Q3 2024, with growth of 517.5%; the weakest was Q3 2025, with a decline of 33.4%.
- According to Business Quant data, Price to Book for the three prior quarters was 3.15 (Q2 2025), 1.54 (Q1 2025) and 11.01 (Q4 2024).
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 2.80 |
| Jun 30, 2025 | 3.15 |
| Mar 31, 2025 | 1.54 |
| Dec 31, 2024 | 11.01 |
| Sep 30, 2024 | 4.20 |
| Jun 30, 2024 | 3.06 |
| Mar 31, 2024 | 1.99 |
| Dec 31, 2023 | 0.95 |
| Sep 30, 2023 | 0.68 |
| Jun 30, 2023 | 0.69 |
| Mar 31, 2023 | 0.57 |
| Dec 31, 2022 | 0.56 |
| Sep 30, 2022 | 0.43 |
API Access
FTAI Infrastructure Price to Book 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=price-to-book&ticker=FIP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=FIP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();