Gatx (GATX) Operating Expenses (2009 - 2026)
Gatx's Operating Expenses was $419.7 million in Q2 2026, up 43.1% from $293.2 million a year earlier and up 2.3% from the prior quarter.
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Analysis
Gatx (GATX) Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Gatx's Operating Expenses was $1.46 billion through Jun 30, 2026, up 26.6% year-over-year; for FY2025, it was $1.21 billion, up 8.5% from FY2024.
- Operating Expenses has now increased for three consecutive years, with a five-year compound annual growth rate of 5.5% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $1.11 billion in FY2024 (+8.7%), $1.02 billion in FY2023 (+9.7%), $932.8 million in FY2022 (-2.9%) and $960.5 million in FY2021 (+4.1%).
- The Q2 2026 figure marks the highest quarterly Operating Expenses since Q4 2011.
- Compared with a year earlier, Operating Expenses has increased for 14 straight quarters, with growth averaging 17.0% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q2 2026 (growth of 43.1%); the worst was Q4 2022 (a decline of 6.1%).
- Per Business Quant data, GATX's Operating Expenses in the three quarters before Q2 2026 was $410.4 million (Q1 2026), $313.7 million (Q4 2025) and $312.1 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 333.79 Bn | 305.49 Bn | 7.76 Bn | 16.25 Bn |
| 2 | Amphenol | 197.60 Bn | 192.18 Bn | 3.55 Bn | 963.40 Mn |
| 3 | Deere | 169.21 Bn | 137.30 Bn | 4.66 Bn | 10.73 Bn |
| 4 | Eaton | 152.39 Bn | 149.57 Bn | 2.86 Bn | 1.46 Bn |
| 5 | Parker-Hannifin | 122.22 Bn | 120.34 Bn | 2.25 Bn | 874.00 Mn |
| 6 | Emerson Electric | 89.77 Bn | 82.51 Bn | 2.66 Bn | 1.34 Bn |
| 7 | 3M | 84.26 Bn | 65.66 Bn | 2.68 Bn | 5.52 Bn |
| 8 | Vertiv Holdings | 79.29 Bn | 69.91 Bn | 1.23 Bn | 490.50 Mn |
| 9 | Illinois Tool Works | 77.45 Bn | 74.01 Bn | 1.90 Bn | - |
| 10 | Gatx | 5.84 Bn | 2.92 Bn | - | 419.70 Mn |
Historic Data
Download Data
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 |
API Access
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_KEYimport 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();