Gatx (GATX) Operating Expenses (2009 - 2026)
Gatx's (GATX) quarterly Operating Expenses came in at $419.7 million in Q2 2026, up 43.14% year-over-year from $293.2 million in Q2 2025, and up 2.27% quarter-over-quarter from $410.4 million in Q1 2026.
Gatx (GATX) Operating Expenses (2009 - 2026) Analysis & Trends
Gatx has disclosed Operating Expenses across 18 years of filings, most recently posting $419.7 million for Q2 2026.
- In Q2 2026, Operating Expenses rose 43.14% year-over-year to $419.7 million; the TTM figure through Jun 2026 stood at $1.5 billion (up 26.6% YoY), while the FY2025 annual figure was $1.2 billion, up 8.49% from the prior year.
- Operating Expenses came in at $419.7 million for Q2 2026 at Gatx, up from $410.4 million in the prior quarter.
- In the past five years, Operating Expenses ranged from a high of $419.7 million in Q2 2026 to a low of $230.9 million in Q2 2022.
- Average Operating Expenses over 5 years is $283.6 million, with a median of $273.7 million recorded in 2023.
- Year-over-year, Operating Expenses decreased 6.08% in 2022 and soared 43.14% in 2026.
- Over 5 years, Operating Expenses stood at $233.1 million in 2022, then climbed by 16.22% to $270.9 million in 2023, then rose by 7.38% to $290.9 million in 2024, then climbed by 7.84% to $313.7 million in 2025, then surged by 33.79% to $419.7 million in 2026.
- Per Business Quant data, the three most recent Operating Expenses figures were $419.7 million in Q2 2026, $410.4 million in Q1 2026, and $313.7 million in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Westinghouse Air Brake Technologies | 47.94 Bn | 47.30 Bn | 1.16 Bn | 561.00 Mn |
| 2 | Gatx | 6.37 Bn | 7.18 Bn | 555.30 Mn | 419.70 Mn |
| 3 | Trinity Industries | 2.22 Bn | 2.07 Bn | 109.90 Mn | 51.10 Mn |
| 4 | Triton International | 1.41 Bn | 1.41 Bn | 622,000.00 | 131.78 Mn |
| 5 | Greenbrier Companies | 1.30 Bn | 1.15 Bn | 81.10 Mn | 55.20 Mn |
| 6 | Foster L B | 387.55 Mn | 382.66 Mn | 30.87 Mn | 24.11 Mn |
| 7 | FreightCar America | 240.12 Mn | 175.82 Mn | - | - |
| 8 | GenFlat Holdings | 32.89 Mn | 28.89 Mn | -32,922.00 | 848,776.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 419.70 Mn |
| Mar 31, 2026 | 410.40 Mn |
| Dec 31, 2025 | 313.70 Mn |
| Sep 30, 2025 | 312.10 Mn |
| Jun 30, 2025 | 293.20 Mn |
| Mar 31, 2025 | 287.30 Mn |
| Dec 31, 2024 | 290.90 Mn |
| Sep 30, 2024 | 278.60 Mn |
| Jun 30, 2024 | 276.50 Mn |
| Mar 31, 2024 | 265.90 Mn |
| Dec 31, 2023 | 270.90 Mn |
| Sep 30, 2023 | 257.10 Mn |
| Jun 30, 2023 | 248.80 Mn |
| Mar 31, 2023 | 246.10 Mn |
| Dec 31, 2022 | 233.10 Mn |
| Sep 30, 2022 | 233.50 Mn |
| Jun 30, 2022 | 230.90 Mn |
| Mar 31, 2022 | 235.30 Mn |
| Dec 31, 2021 | 248.20 Mn |
| Sep 30, 2021 | 233.60 Mn |
Gatx 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=GATX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "GATX", "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=GATX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();