Triton International (TRTN-PA) EBITDA (2015 - 2026)
Triton International's EBITDA was $271.9 million in Q2 2026, down 1.9% from $277.24 million a year earlier but up 2.1% from the prior quarter.
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Analysis
Triton International (TRTN-PA) EBITDA (2015 - 2026) Analysis & Trends
On a trailing twelve-month basis, Triton International's EBITDA was $1.11 billion through Jun 30, 2026, down 19.4% year-over-year; for FY2025, it came in at $1.2 billion, down 12.1% from FY2024.
- EBITDA shows a five-year compound annual growth rate of 0.3% (FY2020 to FY2025).
- In earlier years, EBITDA was $1.37 billion in FY2024 (+1.5%), $1.35 billion in FY2023 (-20.2%), $1.69 billion in FY2022 (+8.3%) and $1.56 billion in FY2021 (+31.9%).
- Quarterly EBITDA has moved between $266.29 million (Q1 2026) and $430.67 million (Q2 2022) over five years.
- Compared with a year earlier, EBITDA has declined for five straight quarters, with an average decline of 3.5% over the last eight quarters.
- The best year-over-year quarter for EBITDA over five years was Q3 2021 (growth of 38.3%); the worst was Q3 2023 (a decline of 33.0%).
- Per Business Quant data, TRTN-PA's EBITDA in the three quarters before Q2 2026 was $266.29 million (Q1 2026), $281.19 million (Q4 2025) and $290.46 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 333.79 Bn | 305.49 Bn | 7.76 Bn | 4.91 Bn |
| 2 | Amphenol | 197.60 Bn | 192.18 Bn | 3.55 Bn | 2.93 Bn |
| 3 | Deere | 169.21 Bn | 137.30 Bn | 4.66 Bn | 2.46 Bn |
| 4 | Eaton | 152.39 Bn | 149.57 Bn | 2.86 Bn | 1.79 Bn |
| 5 | Parker-Hannifin | 122.22 Bn | 120.34 Bn | 2.25 Bn | 1.61 Bn |
| 6 | Emerson Electric | 89.77 Bn | 82.51 Bn | 2.66 Bn | 1.69 Bn |
| 7 | 3M | 84.26 Bn | 65.66 Bn | 2.68 Bn | 1.32 Bn |
| 8 | Vertiv Holdings | 79.29 Bn | 69.91 Bn | 1.23 Bn | 754.30 Mn |
| 9 | Illinois Tool Works | 77.45 Bn | 74.01 Bn | 1.90 Bn | 1.25 Bn |
| 10 | Triton International | 1.39 Bn | 1.18 Bn | 622,000.00 | 277.87 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 277.87 Mn |
| Mar 31, 2026 | 269.40 Mn |
| Dec 31, 2025 | 284.43 Mn |
| Sep 30, 2025 | 294.42 Mn |
| Jun 30, 2025 | 280.64 Mn |
| Mar 31, 2025 | 359.10 Mn |
| Dec 31, 2024 | 379.96 Mn |
| Sep 30, 2024 | 371.52 Mn |
| Jun 30, 2024 | 290.60 Mn |
| Mar 31, 2024 | 338.69 Mn |
| Dec 31, 2023 | 334.44 Mn |
| Sep 30, 2023 | 284.49 Mn |
| Jun 30, 2023 | 361.98 Mn |
| Mar 31, 2023 | 371.93 Mn |
| Dec 31, 2022 | 405.94 Mn |
| Sep 30, 2022 | 424.32 Mn |
| Jun 30, 2022 | 433.69 Mn |
| Mar 31, 2022 | 426.23 Mn |
| Dec 31, 2021 | 425.46 Mn |
| Sep 30, 2021 | 411.59 Mn |
API Access
Triton International 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=TRTN-PA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "TRTN-PA", "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=TRTN-PA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();