FreightCar America (RAIL) EV to EBITDA (2009 - 2026)
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 (2009 - 2026) 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 | 267.46 Bn | 238.77 Bn | 7.35 Bn |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn |
| 10 | FreightCar America | 167.91 Mn | -98.90 Mn | 6.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 19.10 |
| Jun 30, 2026 | 10.54 |
| Mar 31, 2026 | 5.62 |
| Dec 31, 2025 | 7.17 |
| 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 |
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();