Triton International (TRTN-PA) Operating Expenses (2015 - 2026)
Triton International's Operating Expenses came in at $131.78 million for Q2 2026, up 9.3% from $120.62 million a year earlier but down 0.5% from the prior quarter.
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Analysis
Triton International (TRTN-PA) Operating Expenses (2015 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Triton International reported Operating Expenses of $535.8 million, down 15.7% year-over-year; for FY2025, it was $559.79 million, down 22.8% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of -4.9% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $724.85 million in FY2024 (-13.9%), $841.57 million in FY2023 (+9.7%), $767.13 million in FY2022 (+3.7%) and $739.94 million in FY2021 (+2.9%).
- The five-year range for quarterly Operating Expenses is $120.62 million (Q2 2025) to $260.73 million (Q3 2023).
- Year-over-year, Operating Expenses increased in 1 of the last eight quarters, with an average decline of 18.1%.
- The fastest year-over-year change in Operating Expenses over five years came in Q3 2023 (growth of 36.0%), and the weakest in Q2 2025 (a decline of 36.8%).
- Business Quant data shows TRTN-PA's Operating Expenses at $132.46 million (Q1 2026), $135.14 million (Q4 2025) and $136.42 million (Q3 2025) in the three quarters before Q2 2026.
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 | Triton International | 1.39 Bn | 1.18 Bn | 622,000.00 | 131.78 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 131.78 Mn |
| Mar 31, 2026 | 132.46 Mn |
| Dec 31, 2025 | 135.14 Mn |
| Sep 30, 2025 | 136.42 Mn |
| Jun 30, 2025 | 120.62 Mn |
| Mar 31, 2025 | 167.61 Mn |
| Dec 31, 2024 | 171.09 Mn |
| Sep 30, 2024 | 176.38 Mn |
| Jun 30, 2024 | 190.76 Mn |
| Mar 31, 2024 | 186.62 Mn |
| Dec 31, 2023 | 191.16 Mn |
| Sep 30, 2023 | 260.73 Mn |
| Jun 30, 2023 | 196.93 Mn |
| Mar 31, 2023 | 192.74 Mn |
| Dec 31, 2022 | 193.90 Mn |
| Sep 30, 2022 | 191.69 Mn |
| Jun 30, 2022 | 193.33 Mn |
| Mar 31, 2022 | 188.21 Mn |
| Dec 31, 2021 | 194.98 Mn |
| Sep 30, 2021 | 190.48 Mn |
API Access
Triton International 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=TRTN-PA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=TRTN-PA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();