FreightCar America (RAIL) Goodwill & Intangibles (2010 - 2025)
FreightCar America's Goodwill & Intangibles came in at $4.88 million for Q4 2025.
Analysis
FreightCar America (RAIL) Goodwill & Intangibles (2010 - 2025) Analysis & Trends
Going back to Q4 2010, FreightCar America's Goodwill & Intangibles data covers 35 quarters.
- The Q4 2025 figure represents the highest quarterly Goodwill & Intangibles in data going back to Q4 2010.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 316.15 Bn | 287.84 Bn | 7.76 Bn |
| 2 | Amphenol | 181.56 Bn | 176.14 Bn | 3.55 Bn |
| 3 | Deere | 173.99 Bn | 142.08 Bn | 4.66 Bn |
| 4 | Eaton | 142.35 Bn | 139.53 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 111.11 Bn | 109.23 Bn | 2.25 Bn |
| 6 | Emerson Electric | 90.49 Bn | 83.23 Bn | 2.66 Bn |
| 7 | 3M | 90.21 Bn | 71.66 Bn | 2.78 Bn |
| 8 | Illinois Tool Works | 79.13 Bn | 75.69 Bn | 1.90 Bn |
| 9 | Vertiv Holdings | 75.00 Bn | 65.62 Bn | 1.23 Bn |
| 10 | FreightCar America | 133.93 Mn | -108.55 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 4.88 Mn |
| Jun 30, 2019 | 21.52 Mn |
| Mar 31, 2019 | 21.52 Mn |
| Dec 31, 2018 | 21.52 Mn |
| Sep 30, 2018 | 21.52 Mn |
| Jun 30, 2018 | 21.52 Mn |
| Mar 31, 2018 | 21.52 Mn |
| Dec 31, 2017 | 21.52 Mn |
| Sep 30, 2017 | 21.52 Mn |
| Jun 30, 2017 | 21.52 Mn |
| Mar 31, 2017 | 21.52 Mn |
| Dec 31, 2016 | 21.52 Mn |
| Sep 30, 2016 | 21.52 Mn |
| Jun 30, 2016 | 21.52 Mn |
| Mar 31, 2016 | 21.52 Mn |
| Dec 31, 2015 | 21.52 Mn |
| Sep 30, 2015 | 21.52 Mn |
| Jun 30, 2015 | 22.13 Mn |
| Mar 31, 2015 | 22.13 Mn |
| Dec 31, 2014 | 22.13 Mn |
API Access
FreightCar America Goodwill & Intangibles 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=goodwill-and-intangibles&ticker=RAIL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-intangibles", "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=goodwill-and-intangibles&ticker=RAIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();