FreightCar America (RAIL) Price to Earnings (2011 - 2025)
FreightCar America's (RAIL) Price to Earnings came in at 3.49 for Q3 2025.
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Analysis
FreightCar America (RAIL) Price to Earnings (2011 - 2025) Analysis & Trends
For FY2016, FreightCar America's Price to Earnings stood at 15.02, up 99.2% from FY2015.
- In prior years, FreightCar America's Price to Earnings was 7.54 in FY2015 (-86.0%), 53.97 in FY2014 and 14.12 in FY2012 (-72.2%).
- The Q3 2025 figure stands as the highest quarterly Price to Earnings in data going back to Q4 2011.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 316.28 Bn | 287.97 Bn | 7.76 Bn |
| 2 | Amphenol | 182.69 Bn | 177.27 Bn | 3.55 Bn |
| 3 | Deere | 173.83 Bn | 141.93 Bn | 4.66 Bn |
| 4 | Eaton | 143.26 Bn | 140.45 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 110.78 Bn | 108.90 Bn | 2.25 Bn |
| 6 | Emerson Electric | 90.26 Bn | 83.00 Bn | 2.66 Bn |
| 7 | 3M | 89.94 Bn | 71.38 Bn | 2.78 Bn |
| 8 | Illinois Tool Works | 79.04 Bn | 75.60 Bn | 1.90 Bn |
| 9 | Vertiv Holdings | 75.22 Bn | 65.84 Bn | 1.23 Bn |
| 10 | FreightCar America | 132.81 Mn | -109.66 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 3.49 |
| Jun 30, 2017 | 686.12 |
| Mar 31, 2017 | 527.55 |
| Dec 31, 2016 | 15.02 |
| Sep 30, 2016 | 7.45 |
| Jun 30, 2016 | 4.62 |
| Mar 31, 2016 | 4.14 |
| Dec 31, 2015 | 7.54 |
| Sep 30, 2015 | 8.48 |
| Jun 30, 2015 | 15.55 |
| Mar 31, 2015 | 35.92 |
| Dec 31, 2014 | 53.97 |
| Mar 31, 2013 | 39.06 |
| Dec 31, 2012 | 14.12 |
| Sep 30, 2012 | 7.47 |
| Jun 30, 2012 | 12.89 |
| Mar 31, 2012 | 16.86 |
| Dec 31, 2011 | 50.79 |
API Access
FreightCar America Price to Earnings 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-earnings&ticker=RAIL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=RAIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();