FreightCar America (RAIL) Total Non-Current Liabilities (2010 - 2025)
FreightCar America's Total Non-Current Liabilities came in at $228.93 million for Q4 2025, down 3.9% from $238.17 million a year earlier and down 19.1% from the prior quarter.
FreightCar America (RAIL) Total Non-Current Liabilities (2010 - 2025) Analysis & Trends
Going back to Q4 2010, FreightCar America's Total Non-Current Liabilities data covers 60 quarters.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of 2.7% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $238.17 million in FY2024 (-11.4%), $268.86 million in FY2023 (+36.3%), $197.29 million in FY2022 (+16.2%) and $169.81 million in FY2021 (-15.3%).
- The five-year range for quarterly Total Non-Current Liabilities is $132.19 million (Q1 2021) to $282.98 million (Q3 2025).
- Year-over-year, Total Non-Current Liabilities increased in four of the last eight quarters, with growth averaging 5.6%.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q1 2022 (growth of 54.0%), and the weakest in Q4 2021 (a decline of 15.3%).
- Business Quant data shows RAIL's Total Non-Current Liabilities at $282.98 million (Q3 2025), $280.49 million (Q2 2025) and $216.81 million (Q1 2025) in the three quarters before Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 334.06 Bn | 305.75 Bn | 7.76 Bn | 75.57 Bn |
| 2 | Amphenol | 195.22 Bn | 189.80 Bn | 3.55 Bn | 28.16 Bn |
| 3 | Deere | 170.77 Bn | 138.86 Bn | 4.66 Bn | - |
| 4 | Eaton | 148.39 Bn | 145.58 Bn | 2.86 Bn | 23.97 Bn |
| 5 | Parker-Hannifin | 119.49 Bn | 117.61 Bn | 2.25 Bn | 14.72 Bn |
| 6 | Emerson Electric | 89.58 Bn | 82.32 Bn | 2.66 Bn | 18.30 Bn |
| 7 | 3M | 88.93 Bn | 70.33 Bn | 2.68 Bn | 23.79 Bn |
| 8 | Illinois Tool Works | 78.81 Bn | 75.37 Bn | 1.90 Bn | 7.65 Bn |
| 9 | Vertiv Holdings | 78.25 Bn | 68.87 Bn | 1.23 Bn | 10.73 Bn |
| 10 | FreightCar America | 127.71 Mn | -114.76 Mn | - | 227.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 227.60 Mn |
| Sep 30, 2025 | 282.27 Mn |
| Jun 30, 2025 | 279.55 Mn |
| Mar 31, 2025 | 216.81 Mn |
| Dec 31, 2024 | 236.76 Mn |
| Sep 30, 2024 | 238.22 Mn |
| Jun 30, 2024 | 201.69 Mn |
| Mar 31, 2024 | 250.90 Mn |
| Dec 31, 2023 | 266.30 Mn |
| Sep 30, 2023 | 236.58 Mn |
| Jun 30, 2023 | 215.92 Mn |
| Mar 31, 2023 | 201.78 Mn |
| Dec 31, 2022 | 193.54 Mn |
| Sep 30, 2022 | 171.76 Mn |
| Jun 30, 2022 | 184.07 Mn |
| Mar 31, 2022 | 196.59 Mn |
| Dec 31, 2021 | 166.67 Mn |
| Sep 30, 2021 | 158.50 Mn |
| Jun 30, 2021 | 145.48 Mn |
| Mar 31, 2021 | 127.03 Mn |
FreightCar America Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=RAIL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=RAIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();