Gatx (GATX) Other Non-Current Liabilities (2009 - 2026)
Gatx (GATX) posted Other Non-Current Liabilities of $142.4 million for Q2 2026, up 38.7% from $102.7 million a year earlier but down 14.1% from the prior quarter.
Gatx (GATX) Other Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Gatx's Other Non-Current Liabilities came in at $162.1 million, up 50.8% from FY2024.
- Annual Other Non-Current Liabilities has increased for three consecutive years, with a five-year compound annual growth rate of 3.6% (FY2020 to FY2025).
- In prior years, Gatx's Other Non-Current Liabilities was $107.5 million in FY2024 (+1.0%), $106.4 million in FY2023 (+4.3%), $102 million in FY2022 (-9.3%) and $112.4 million in FY2021 (-17.1%).
- Quarterly Other Non-Current Liabilities has run from a low of $95.4 million in Q1 2023 to a high of $165.8 million in Q1 2026 over five years.
- On a year-over-year basis, Other Non-Current Liabilities has increased in each of the last four quarters, with growth averaging 21.8% over the last eight quarters.
- The strongest year-over-year quarter for Other Non-Current Liabilities in the past five years was Q1 2026, with growth of 62.2%; the weakest was Q4 2021, with a decline of 17.1%.
- According to Business Quant data, Other Non-Current Liabilities for the three prior quarters was $165.8 million (Q1 2026), $162.1 million (Q4 2025) and $125.6 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 324.58 Bn | 296.27 Bn | 7.76 Bn |
| 2 | Amphenol | 179.59 Bn | 174.17 Bn | 3.55 Bn |
| 3 | Deere | 173.82 Bn | 141.91 Bn | 4.66 Bn |
| 4 | Eaton | 143.34 Bn | 140.52 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 112.68 Bn | 110.80 Bn | 2.25 Bn |
| 6 | 3M | 91.08 Bn | 72.52 Bn | 2.78 Bn |
| 7 | Emerson Electric | 89.36 Bn | 82.10 Bn | 2.66 Bn |
| 8 | Illinois Tool Works | 79.89 Bn | 76.44 Bn | 1.90 Bn |
| 9 | Vertiv Holdings | 75.22 Bn | 65.84 Bn | 1.23 Bn |
| 10 | Gatx | 5.99 Bn | 3.06 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 142.40 Mn |
| Mar 31, 2026 | 165.80 Mn |
| Dec 31, 2025 | 162.10 Mn |
| Sep 30, 2025 | 125.60 Mn |
| Jun 30, 2025 | 102.70 Mn |
| Mar 31, 2025 | 102.20 Mn |
| Dec 31, 2024 | 107.50 Mn |
| Sep 30, 2024 | 108.80 Mn |
| Jun 30, 2024 | 110.60 Mn |
| Mar 31, 2024 | 99.90 Mn |
| Dec 31, 2023 | 106.40 Mn |
| Sep 30, 2023 | 98.10 Mn |
| Jun 30, 2023 | 104.20 Mn |
| Mar 31, 2023 | 95.40 Mn |
| Dec 31, 2022 | 102.00 Mn |
| Sep 30, 2022 | 114.50 Mn |
| Jun 30, 2022 | 119.30 Mn |
| Mar 31, 2022 | 114.90 Mn |
| Dec 31, 2021 | 112.40 Mn |
| Sep 30, 2021 | 125.00 Mn |
Gatx 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=GATX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-liabilities", "ticker": "GATX", "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=GATX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();