Gatx (GATX) Other Operating Expenses (2011 - 2026)
Gatx (GATX) posted Other Operating Expenses of $69.7 million for Q2 2026, up 69.2% from $41.2 million a year earlier and up 36.7% from the prior quarter.
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Analysis
Gatx (GATX) Other Operating Expenses (2011 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Other Operating Expenses at Gatx was $206.5 million, up 29.3% year-over-year; for FY2025, it was $167.5 million, up 19.8% from FY2024.
- Annual Other Operating Expenses has increased for three consecutive years, with a five-year compound annual growth rate of 32.1% (FY2020 to FY2025).
- In prior years, Gatx's Other Operating Expenses was $139.8 million in FY2024 (+7.3%), $130.3 million in FY2023 (+67.3%), $77.9 million in FY2022 (-26.4%) and $105.9 million in FY2021 (+154.0%).
- The Q2 2026 figure stands as the highest quarterly Other Operating Expenses since Q1 2022.
- On a year-over-year basis, Other Operating Expenses has increased in each of the last three quarters, with growth averaging 31.8% over the last eight quarters.
- The strongest year-over-year quarter for Other Operating Expenses in the past five years was Q4 2023, with growth of 472.7%; the weakest was Q4 2022, with a decline of 83.6%.
- According to Business Quant data, Other Operating Expenses for the three prior quarters was $51 million (Q1 2026), $46.1 million (Q4 2025) and $39.7 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 327.22 Bn | 298.92 Bn | 7.76 Bn |
| 2 | Amphenol | 193.52 Bn | 188.10 Bn | 3.55 Bn |
| 3 | Deere | 169.77 Bn | 137.87 Bn | 4.66 Bn |
| 4 | Eaton | 147.58 Bn | 144.77 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 120.82 Bn | 118.95 Bn | 2.25 Bn |
| 6 | Emerson Electric | 88.37 Bn | 81.11 Bn | 2.66 Bn |
| 7 | 3M | 85.40 Bn | 66.80 Bn | 2.68 Bn |
| 8 | Illinois Tool Works | 77.47 Bn | 74.03 Bn | 1.90 Bn |
| 9 | Vertiv Holdings | 76.98 Bn | 67.60 Bn | 1.23 Bn |
| 10 | Gatx | 5.86 Bn | 2.93 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 145.60 Mn |
| Mar 31, 2026 | 115.70 Mn |
| Dec 31, 2025 | 102.00 Mn |
| Sep 30, 2025 | 79.60 Mn |
| Jun 30, 2025 | 98.20 Mn |
| Mar 31, 2025 | 89.90 Mn |
| Dec 31, 2024 | 81.60 Mn |
| Sep 30, 2024 | 98.20 Mn |
| Jun 30, 2024 | 72.80 Mn |
| Mar 31, 2024 | 83.20 Mn |
| Dec 31, 2023 | 69.00 Mn |
| Sep 30, 2023 | 57.60 Mn |
| Jun 30, 2023 | 78.30 Mn |
| Mar 31, 2023 | 87.00 Mn |
| Dec 31, 2022 | -40.30 Mn |
| Sep 30, 2022 | 36.40 Mn |
| Jun 30, 2022 | 7.70 Mn |
| Mar 31, 2022 | 111.50 Mn |
| Dec 31, 2021 | -31.10 Mn |
| Sep 30, 2021 | 56.20 Mn |
API Access
Gatx Other 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=other-operating-expenses&ticker=GATX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=GATX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();