FreightCar America (RAIL) Total Liabilities (2009 - 2026)
FreightCar America's Total Liabilities came in at $397.46 million for Q4 2025, up 6.1% from $374.49 million a year earlier but down 7.9% from the prior quarter.
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Analysis
FreightCar America (RAIL) Total Liabilities (2009 - 2026) Analysis & Trends
Going back to Q4 2010, FreightCar America's Total Liabilities data covers 60 quarters.
- Total Liabilities has increased in each of the last four years, with a five-year compound annual growth rate of 13.3% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $374.49 million in FY2024 (+22.5%), $305.67 million in FY2023 (+33.9%), $228.32 million in FY2022 (+12.9%) and $202.32 million in FY2021 (-5.1%).
- The five-year range for quarterly Total Liabilities is $167.05 million (Q1 2021) to $431.63 million (Q3 2025).
- Year-over-year, Total Liabilities has increased for six consecutive quarters, with growth averaging 23.4% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q2 2025 (growth of 60.7%), and the weakest in Q1 2023 (a decline of 8.4%).
- Business Quant data shows RAIL's Total Liabilities at $431.63 million (Q3 2025), $411.56 million (Q2 2025) and $347.87 million (Q1 2025) in the three quarters before Q4 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn | 85.36 Bn |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn | 29.76 Bn |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn | 79.61 Bn |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn | 36.43 Bn |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn | 25.86 Bn |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn | 35.36 Bn |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn | 21.06 Bn |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn | 13.36 Bn |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn | 12.67 Bn |
| 10 | FreightCar America | 167.91 Mn | -98.90 Mn | 6.70 Mn | 292.66 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 292.66 Mn |
| Jun 30, 2026 | 239.90 Mn |
| Mar 31, 2026 | 353.28 Mn |
| Dec 31, 2025 | 397.46 Mn |
| Sep 30, 2025 | 431.63 Mn |
| Jun 30, 2025 | 411.56 Mn |
| Mar 31, 2025 | 347.87 Mn |
| Dec 31, 2024 | 374.49 Mn |
| Sep 30, 2024 | 402.27 Mn |
| Jun 30, 2024 | 256.05 Mn |
| Mar 31, 2024 | 305.63 Mn |
| Dec 31, 2023 | 305.67 Mn |
| Sep 30, 2023 | 273.58 Mn |
| Jun 30, 2023 | 257.20 Mn |
| Mar 31, 2023 | 235.18 Mn |
| Dec 31, 2022 | 228.32 Mn |
| Sep 30, 2022 | 211.90 Mn |
| Jun 30, 2022 | 222.51 Mn |
| Mar 31, 2022 | 256.78 Mn |
| Dec 31, 2021 | 202.32 Mn |
API Access
FreightCar America Total 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-liabilities&ticker=RAIL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=RAIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();