FreightCar America (RAIL) Operating Expenses (2010 - 2025)
FreightCar America's Operating Expenses came in at $9.65 million for Q3 2025, up 28.0% from $7.54 million a year earlier but down 4.6% from the prior quarter.
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Analysis
FreightCar America (RAIL) Operating Expenses (2010 - 2025) Analysis & Trends
Over the trailing twelve months to Sep 30, 2025, FreightCar America reported Operating Expenses of $39.66 million, up 26.8% year-over-year; for FY2024, it came in at $32.92 million, up 19.7% from FY2023.
- Operating Expenses carries a five-year compound annual growth rate of -11.5% (FY2019 to FY2024).
- Going back by year, Operating Expenses was $27.49 million in FY2023 (-2.6%), $28.23 million in FY2022 (-17.1%), $34.06 million in FY2021 (-29.2%) and $48.14 million in FY2020 (-20.7%).
- The five-year range for quarterly Operating Expenses is -$4.22 million (Q4 2020) to $15.8 million (Q1 2021).
- Year-over-year, Operating Expenses has increased for ten consecutive quarters, with growth averaging 24.2% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q1 2021 (growth of 90.6%), and the weakest in Q3 2021 (a decline of 84.7%).
- Business Quant data shows RAIL's Operating Expenses at $10.11 million (Q2 2025), $10.52 million (Q1 2025) and $9.37 million (Q4 2024) in the three quarters before Q3 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 340.33 Bn | 312.03 Bn | 7.76 Bn | 16.25 Bn |
| 2 | Amphenol | 195.04 Bn | 189.62 Bn | 3.55 Bn | 963.40 Mn |
| 3 | Deere | 171.72 Bn | 139.81 Bn | 4.66 Bn | 10.73 Bn |
| 4 | Eaton | 152.74 Bn | 149.93 Bn | 2.86 Bn | 1.46 Bn |
| 5 | Parker-Hannifin | 120.82 Bn | 118.95 Bn | 2.25 Bn | 874.00 Mn |
| 6 | Emerson Electric | 91.30 Bn | 84.04 Bn | 2.66 Bn | 1.34 Bn |
| 7 | 3M | 90.37 Bn | 71.82 Bn | 2.78 Bn | 5.03 Bn |
| 8 | Vertiv Holdings | 81.71 Bn | 72.33 Bn | 1.23 Bn | 490.50 Mn |
| 9 | Illinois Tool Works | 79.34 Bn | 75.90 Bn | 1.90 Bn | - |
| 10 | FreightCar America | 130.42 Mn | -112.05 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 9.65 Mn |
| Jun 30, 2025 | 10.11 Mn |
| Mar 31, 2025 | 10.52 Mn |
| Dec 31, 2024 | 9.37 Mn |
| Sep 30, 2024 | 7.54 Mn |
| Jun 30, 2024 | 8.51 Mn |
| Mar 31, 2024 | 7.49 Mn |
| Dec 31, 2023 | 7.74 Mn |
| Sep 30, 2023 | 7.51 Mn |
| Jun 30, 2023 | 5.85 Mn |
| Mar 31, 2023 | 6.39 Mn |
| Dec 31, 2022 | 6.35 Mn |
| Sep 30, 2022 | 7.11 Mn |
| Jun 30, 2022 | 4.05 Mn |
| Mar 31, 2022 | 10.71 Mn |
| Dec 31, 2021 | 6.39 Mn |
| Sep 30, 2021 | 5.70 Mn |
| Jun 30, 2021 | 6.17 Mn |
| Mar 31, 2021 | 15.80 Mn |
| Dec 31, 2020 | -4.22 Mn |
API Access
FreightCar America Operating Expenses 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=operating-expenses&ticker=RAIL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=RAIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();