Gatx (GATX) EBITDA (2009 - 2026)
Gatx's (GATX) quarterly EBITDA came in at $307.7 million in Q2 2026, up 32.23% year-over-year from $232.7 million in Q2 2025, and down 5.64% quarter-over-quarter from $326.1 million in Q1 2026.
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Analysis
Gatx (GATX) EBITDA (2009 - 2026) Analysis & Trends
Gatx has disclosed EBITDA across 18 years of filings, most recently posting $307.7 million for Q2 2026.
- In Q2 2026, EBITDA rose 32.23% year-over-year to $307.7 million; the TTM figure through Jun 2026 stood at $1.1 billion (up 22.21% YoY), while the FY2025 annual figure was $920.5 million, up 10.0% from the prior year.
- EBITDA came in at $307.7 million for Q2 2026 at Gatx, down from $326.1 million in the prior quarter.
- In the past five years, EBITDA ranged from a high of $326.1 million in Q1 2026 to a low of $163.4 million in Q1 2022.
- Average EBITDA over 5 years is $211.0 million, with a median of $200.1 million recorded in 2024.
- Year-over-year, EBITDA increased 1.81% in 2025 and jumped 43.85% in 2026.
- Over 5 years, EBITDA stood at $174.0 million in 2022, then climbed by 7.64% to $187.3 million in 2023, then climbed by 15.22% to $215.8 million in 2024, then gained by 9.55% to $236.4 million in 2025, then jumped by 30.16% to $307.7 million in 2026.
- Per Business Quant data, the three most recent EBITDA figures were $307.7 million in Q2 2026, $326.1 million in Q1 2026, and $236.4 million in Q4 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Westinghouse Air Brake Technologies | 47.94 Bn | 47.30 Bn | 1.16 Bn | 600.00 Mn |
| 2 | Gatx | 6.37 Bn | 7.18 Bn | 555.30 Mn | 307.70 Mn |
| 3 | Trinity Industries | 2.22 Bn | 2.07 Bn | 109.90 Mn | 199.80 Mn |
| 4 | Triton International | 1.41 Bn | 1.41 Bn | 622,000.00 | 182.98 Mn |
| 5 | Greenbrier Companies | 1.30 Bn | 1.15 Bn | 81.10 Mn | 31.90 Mn |
| 6 | Foster L B | 387.55 Mn | 382.66 Mn | 30.87 Mn | 6.15 Mn |
| 7 | FreightCar America | 240.12 Mn | 175.82 Mn | - | - |
| 8 | GenFlat Holdings | 32.89 Mn | 28.89 Mn | -32,922.00 | -881,698.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 307.70 Mn |
| Mar 31, 2026 | 326.10 Mn |
| Dec 31, 2025 | 236.40 Mn |
| Sep 30, 2025 | 224.70 Mn |
| Jun 30, 2025 | 232.70 Mn |
| Mar 31, 2025 | 226.70 Mn |
| Dec 31, 2024 | 215.80 Mn |
| Sep 30, 2024 | 220.70 Mn |
| Jun 30, 2024 | 199.40 Mn |
| Mar 31, 2024 | 200.90 Mn |
| Dec 31, 2023 | 187.30 Mn |
| Sep 30, 2023 | 191.00 Mn |
| Jun 30, 2023 | 179.30 Mn |
| Mar 31, 2023 | 175.30 Mn |
| Dec 31, 2022 | 174.00 Mn |
| Sep 30, 2022 | 170.90 Mn |
| Jun 30, 2022 | 165.80 Mn |
| Mar 31, 2022 | 163.40 Mn |
| Dec 31, 2021 | 156.60 Mn |
| Sep 30, 2021 | 164.80 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();