FreightCar America (RAIL) EV to EBITDA (2011 - 2025)
FreightCar America's EV to EBITDA was 5.68 in Q3 2025, down 38.8% from 9.28 a year earlier but up 1.1% from the prior quarter.
FreightCar America (RAIL) EV to EBITDA (2011 - 2025) Analysis & Trends
On a trailing twelve-month basis, FreightCar America's EV to EBITDA was 2.03 through Sep 30, 2025, down 67.8% year-over-year; for FY2024, it was 5.36, up 124.4% from FY2023.
- In earlier years, EV to EBITDA was 2.39 in FY2023.
- Quarterly EV to EBITDA has moved between 2.39 (Q4 2023) and 34.71 (Q2 2022) over five years.
- Compared with a year earlier, EV to EBITDA was higher in three of the last five quarters, with growth averaging 31.2%.
- Per Business Quant data, RAIL's EV to EBITDA in the three quarters before Q3 2025 was 5.62 (Q2 2025), 2.80 (Q1 2025) and 5.36 (Q4 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 334.06 Bn | 305.75 Bn | 7.76 Bn |
| 2 | Amphenol | 195.22 Bn | 189.80 Bn | 3.55 Bn |
| 3 | Deere | 170.77 Bn | 138.86 Bn | 4.66 Bn |
| 4 | Eaton | 148.39 Bn | 145.58 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 119.49 Bn | 117.61 Bn | 2.25 Bn |
| 6 | Emerson Electric | 89.58 Bn | 82.32 Bn | 2.66 Bn |
| 7 | 3M | 88.93 Bn | 70.33 Bn | 2.68 Bn |
| 8 | Illinois Tool Works | 78.81 Bn | 75.37 Bn | 1.90 Bn |
| 9 | Vertiv Holdings | 78.25 Bn | 68.87 Bn | 1.23 Bn |
| 10 | FreightCar America | 127.71 Mn | -114.76 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 5.68 |
| Jun 30, 2025 | 5.62 |
| Mar 31, 2025 | 2.80 |
| Dec 31, 2024 | 5.36 |
| Sep 30, 2024 | 9.28 |
| Jun 30, 2024 | 2.81 |
| Mar 31, 2024 | 5.48 |
| Dec 31, 2023 | 2.39 |
| Sep 30, 2023 | 7.75 |
| Jun 30, 2022 | 34.71 |
| Jun 30, 2017 | 12.87 |
| Mar 31, 2017 | 6.53 |
| Dec 31, 2016 | 3.48 |
| Sep 30, 2016 | 3.08 |
| Jun 30, 2016 | 1.47 |
| Mar 31, 2016 | 1.27 |
| Dec 31, 2015 | 2.29 |
| Sep 30, 2015 | 1.80 |
| Jun 30, 2015 | 5.22 |
| Mar 31, 2015 | 10.66 |
FreightCar America EV to EBITDA 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=ev-to-ebitda&ticker=RAIL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "ticker": "RAIL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=ev-to-ebitda&ticker=RAIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();