Triton International (TRTN-PA) Selling, General & Administrative (2015 - 2026)
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Analysis
Triton International (TRTN-PA) Selling, General & Administrative (2015 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 271.16 Bn | 242.47 Bn | 7.35 Bn | 1.80 Bn |
| 2 | Amphenol | 193.73 Bn | 188.43 Bn | 4.02 Bn | 979.90 Mn |
| 3 | Deere | 186.10 Bn | 154.20 Bn | 4.66 Bn | 1.22 Bn |
| 4 | Eaton | 139.87 Bn | 136.81 Bn | 3.11 Bn | 1.28 Bn |
| 5 | Parker-Hannifin | 119.62 Bn | 117.51 Bn | 2.26 Bn | 1.07 Bn |
| 6 | 3M | 96.79 Bn | 78.23 Bn | 2.78 Bn | 921.00 Mn |
| 7 | Emerson Electric | 94.84 Bn | 87.57 Bn | 2.66 Bn | 1.34 Bn |
| 8 | Illinois Tool Works | 81.09 Bn | 77.76 Bn | 1.91 Bn | - |
| 9 | Vertiv Holdings | 77.05 Bn | 65.90 Bn | 1.64 Bn | 556.90 Mn |
| 10 | Triton International | 1.38 Bn | 1.17 Bn | 622,000.00 | 26.14 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 26.14 Mn |
| Mar 31, 2026 | 26.32 Mn |
| Dec 31, 2025 | 27.47 Mn |
| Sep 30, 2025 | 31.43 Mn |
| Jun 30, 2025 | 24.29 Mn |
| Mar 31, 2025 | 24.13 Mn |
| Dec 31, 2024 | 22.52 Mn |
| Sep 30, 2024 | 22.86 Mn |
| Jun 30, 2024 | 24.01 Mn |
| Mar 31, 2024 | 21.81 Mn |
| Dec 31, 2023 | 18.96 Mn |
| Sep 30, 2023 | 23.62 Mn |
| Jun 30, 2023 | 23.40 Mn |
| Mar 31, 2023 | 22.86 Mn |
| Dec 31, 2022 | 24.00 Mn |
| Sep 30, 2022 | 22.75 Mn |
| Jun 30, 2022 | 24.97 Mn |
| Mar 31, 2022 | 21.30 Mn |
| Dec 31, 2021 | 23.99 Mn |
| Sep 30, 2021 | 21.43 Mn |
API Access
Triton International Selling, General & Administrative 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=selling-general-and-administrative&ticker=TRTN-PA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=TRTN-PA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();