Gatx (GATX) EBITDA (2009 - 2026)
Gatx's EBITDA was $272.1 million in Q2 2026, up 41.4% from $192.5 million a year earlier and up 7.0% from the prior quarter.
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Analysis
Gatx (GATX) EBITDA (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Gatx's EBITDA was $886.5 million through Jun 30, 2026, down 12.2% year-over-year; for FY2025, it was $731.4 million, down 28.6% from FY2024.
- EBITDA shows a five-year compound annual growth rate of 2.1% (FY2020 to FY2025).
- In earlier years, EBITDA was $1.02 billion in FY2024 (+13.6%), $901 million in FY2023 (+18.2%), $762.4 million in FY2022 (-1.9%) and $777.5 million in FY2021 (+18.1%).
- The Q2 2026 figure marks the highest quarterly EBITDA since Q1 2025.
- Compared with a year earlier, EBITDA was higher in four of the last eight quarters, with growth averaging 0.6%.
- The best year-over-year quarter for EBITDA over five years was Q2 2023 (growth of 62.4%); the worst was Q3 2025 (a decline of 38.7%).
- Per Business Quant data, GATX's EBITDA in the three quarters before Q2 2026 was $254.2 million (Q1 2026), $187.2 million (Q4 2025) and $173 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 334.64 Bn | 306.34 Bn | 7.76 Bn | 4.91 Bn |
| 2 | Amphenol | 195.66 Bn | 190.24 Bn | 3.55 Bn | 2.93 Bn |
| 3 | Deere | 170.74 Bn | 138.83 Bn | 4.66 Bn | 2.46 Bn |
| 4 | Eaton | 148.68 Bn | 145.87 Bn | 2.86 Bn | 1.79 Bn |
| 5 | Parker-Hannifin | 119.08 Bn | 117.20 Bn | 2.25 Bn | 1.61 Bn |
| 6 | Emerson Electric | 89.62 Bn | 82.36 Bn | 2.66 Bn | 1.69 Bn |
| 7 | 3M | 88.73 Bn | 70.13 Bn | 2.68 Bn | 1.32 Bn |
| 8 | Illinois Tool Works | 78.70 Bn | 75.25 Bn | 1.90 Bn | 1.25 Bn |
| 9 | Vertiv Holdings | 78.10 Bn | 68.72 Bn | 1.23 Bn | 754.30 Mn |
| 10 | Gatx | 5.81 Bn | 2.88 Bn | - | 272.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 272.10 Mn |
| Mar 31, 2026 | 254.20 Mn |
| Dec 31, 2025 | 187.20 Mn |
| Sep 30, 2025 | 173.00 Mn |
| Jun 30, 2025 | 192.50 Mn |
| Mar 31, 2025 | 273.60 Mn |
| Dec 31, 2024 | 261.60 Mn |
| Sep 30, 2024 | 282.40 Mn |
| Jun 30, 2024 | 228.20 Mn |
| Mar 31, 2024 | 251.60 Mn |
| Dec 31, 2023 | 223.00 Mn |
| Sep 30, 2023 | 221.80 Mn |
| Jun 30, 2023 | 226.70 Mn |
| Mar 31, 2023 | 229.50 Mn |
| Dec 31, 2022 | 196.00 Mn |
| Sep 30, 2022 | 181.00 Mn |
| Jun 30, 2022 | 139.60 Mn |
| Mar 31, 2022 | 245.80 Mn |
| Dec 31, 2021 | 202.10 Mn |
| Sep 30, 2021 | 196.10 Mn |
API Access
Gatx EBITDA 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=ebitda&ticker=GATX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=GATX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();