Triton International (TRTN-PA) Other Non-Current Liabilities (2015 - 2026)
Triton International (TRTN-PA) posted Other Non-Current Liabilities of $60.83 million for Q2 2026, down 5.5% from $64.36 million a year earlier but up 6.3% from the prior quarter.
Triton International (TRTN-PA) Other Non-Current Liabilities (2015 - 2026) Analysis & Trends
At the end of FY2025, Triton International's Other Non-Current Liabilities came in at $56.46 million, down 45.8% from FY2024.
- Annual Other Non-Current Liabilities shows a five-year compound annual growth rate of -15.2% (FY2020 to FY2025).
- In prior years, Triton International's Other Non-Current Liabilities was $104.18 million in FY2024 (+9.0%), $95.61 million in FY2023, $2.12 million in FY2022 (-95.6%) and $48.28 million in FY2021 (-62.5%).
- Quarterly Other Non-Current Liabilities has run from a low of $1.37 million in Q2 2024 to a high of $104.18 million in Q4 2024 over five years.
- On a year-over-year basis, Other Non-Current Liabilities has declined in each of the last three quarters, with growth averaging 183.9% over the last six quarters.
- The strongest year-over-year quarter for Other Non-Current Liabilities in the past five years was Q3 2025, with growth of 948.8%; the weakest was Q2 2022, with a decline of 97.4%.
- According to Business Quant data, Other Non-Current Liabilities for the three prior quarters was $57.24 million (Q1 2026), $56.46 million (Q4 2025) and $57.26 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 329.14 Bn | 300.84 Bn | 7.76 Bn |
| 2 | Amphenol | 193.86 Bn | 188.44 Bn | 3.55 Bn |
| 3 | Deere | 171.37 Bn | 139.46 Bn | 4.66 Bn |
| 4 | Eaton | 147.74 Bn | 144.92 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 120.33 Bn | 118.45 Bn | 2.25 Bn |
| 6 | Emerson Electric | 88.77 Bn | 81.51 Bn | 2.66 Bn |
| 7 | 3M | 86.78 Bn | 68.18 Bn | 2.68 Bn |
| 8 | Illinois Tool Works | 77.62 Bn | 74.18 Bn | 1.90 Bn |
| 9 | Vertiv Holdings | 77.22 Bn | 67.84 Bn | 1.23 Bn |
| 10 | Triton International | 2.57 Bn | 2.36 Bn | 622,000.00 |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 630,000.00 |
| Dec 31, 2025 | 2.61 Mn |
| Sep 30, 2025 | 5.22 Mn |
| Jun 30, 2025 | 1.53 Mn |
| Mar 31, 2025 | 215,000.00 |
| Dec 31, 2024 | 697,000.00 |
| Sep 30, 2024 | 5.46 Mn |
| Jun 30, 2024 | 1.37 Mn |
| Mar 31, 2024 | 1.63 Mn |
| Dec 31, 2023 | 1.83 Mn |
| Sep 30, 2023 | 1.68 Mn |
| Jun 30, 2023 | 2.41 Mn |
| Mar 31, 2023 | 1.98 Mn |
| Dec 31, 2022 | 2.12 Mn |
| Sep 30, 2022 | 3.45 Mn |
| Jun 30, 2022 | 2.03 Mn |
| Mar 31, 2022 | 2.91 Mn |
| Dec 31, 2021 | 48.28 Mn |
| Sep 30, 2021 | 66.31 Mn |
| Jun 30, 2021 | 77.14 Mn |
Triton International Other Non-Current Liabilities 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=other-non-current-liabilities&ticker=TRTN-PA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-liabilities", "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=other-non-current-liabilities&ticker=TRTN-PA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();