Triton International (TRTN-PA) Return on Sales [ROS] (2016 - 2026)
Triton International (TRTN-PA) reported Return on Sales [ROS] of 840.95% for Q2 2026, down 364.79 percentage points from 1205.73% a year earlier and down 94.77 percentage points from the prior quarter.
Triton International (TRTN-PA) Return on Sales [ROS] (2016 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Triton International's Return on Sales [ROS] came in at 1047.30%, down 654.90 percentage points year-over-year; for FY2025, it was 1373.52%, down 326.11 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of +625.84 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 1699.63% in FY2024 (+898.85 pp), 800.78% in FY2023 (+94.62 pp), 706.16% in FY2022 (+52.11 pp) and 654.05% in FY2021 (-93.63 pp).
- The Q2 2026 figure ranks as the lowest quarterly Return on Sales [ROS] since Q3 2023.
- Year over year, Return on Sales [ROS] has now declined in each of the last four quarters, with an average year-over-year change of -49.67 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was Q3 2024 (a gain of 1628.13 percentage points); the low point was Q1 2026 (a drop of 967.08 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 935.72% (Q1 2026), 1345.14% (Q4 2025) and 1187.68% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 334.06 Bn | 305.75 Bn | 7.76 Bn | 20.91% |
| 2 | Amphenol | 195.22 Bn | 189.80 Bn | 3.55 Bn | 29.51% |
| 3 | Deere | 170.77 Bn | 138.86 Bn | 4.66 Bn | 14.72% |
| 4 | Eaton | 148.39 Bn | 145.58 Bn | 2.86 Bn | 16.32% |
| 5 | Parker-Hannifin | 119.49 Bn | 117.61 Bn | 2.25 Bn | 23.86% |
| 6 | Emerson Electric | 89.58 Bn | 82.32 Bn | 2.66 Bn | 26.92% |
| 7 | 3M | 88.93 Bn | 70.33 Bn | 2.68 Bn | 15.14% |
| 8 | Illinois Tool Works | 78.81 Bn | 75.37 Bn | 1.90 Bn | 26.67% |
| 9 | Vertiv Holdings | 78.25 Bn | 68.87 Bn | 1.23 Bn | 19.48% |
| 10 | Triton International | 1.39 Bn | 1.18 Bn | 622,000.00 | 840.95% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 840.95% |
| Mar 31, 2026 | 935.72% |
| Dec 31, 2025 | 1,345.14% |
| Sep 30, 2025 | 1,187.68% |
| Jun 30, 2025 | 1,205.73% |
| Mar 31, 2025 | 1,902.79% |
| Dec 31, 2024 | 1,854.04% |
| Sep 30, 2024 | 2,031.01% |
| Jun 30, 2024 | 1,088.18% |
| Mar 31, 2024 | 1,967.96% |
| Dec 31, 2023 | 1,247.82% |
| Sep 30, 2023 | 402.88% |
| Jun 30, 2023 | 806.41% |
| Mar 31, 2023 | 1,159.82% |
| Dec 31, 2022 | 1,195.34% |
| Sep 30, 2022 | 587.56% |
| Jun 30, 2022 | 560.71% |
| Mar 31, 2022 | 767.85% |
| Dec 31, 2021 | 650.24% |
| Sep 30, 2021 | 550.41% |
Triton International Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=TRTN-PA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=TRTN-PA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();