Caterpillar (CAT) Total Non-Current Liabilities (2009 - 2026)
Caterpillar's Total Non-Current Liabilities came in at $75.57 billion for Q2 2026, up 13.7% from $66.49 billion a year earlier and up 7.6% from the prior quarter.
Caterpillar (CAT) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Caterpillar's Total Non-Current Liabilities was $71.09 billion, up 12.2% from FY2024.
- Total Non-Current Liabilities has increased in each of the last three years, with a five-year compound annual growth rate of 3.9% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $63.38 billion in FY2024 (+0.1%), $63.3 billion in FY2023 (+3.0%), $61.45 billion in FY2022 (unchanged) and $61.47 billion in FY2021 (+4.9%).
- The Q2 2026 figure represents the highest quarterly Total Non-Current Liabilities in data going back to Q2 2009.
- Year-over-year, Total Non-Current Liabilities has increased for eight consecutive quarters, with growth averaging 7.3% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q2 2026 (growth of 13.7%), and the weakest in Q2 2024 (a decline of 1.6%).
- Business Quant data shows CAT's Total Non-Current Liabilities at $70.2 billion (Q1 2026), $71.09 billion (Q4 2025) and $67.39 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 351.84 Bn | 323.53 Bn | 7.76 Bn | 75.57 Bn |
| 2 | Amphenol | 209.14 Bn | 203.72 Bn | 3.55 Bn | 28.16 Bn |
| 3 | Deere | 173.99 Bn | 142.08 Bn | 4.66 Bn | - |
| 4 | Eaton | 165.20 Bn | 162.39 Bn | 2.86 Bn | 23.97 Bn |
| 5 | Parker-Hannifin | 120.55 Bn | 118.67 Bn | 2.25 Bn | 14.72 Bn |
| 6 | Emerson Electric | 90.75 Bn | 83.49 Bn | 2.66 Bn | 18.30 Bn |
| 7 | Vertiv Holdings | 90.61 Bn | 81.23 Bn | 1.23 Bn | 10.73 Bn |
| 8 | 3M | 83.78 Bn | 65.18 Bn | 2.68 Bn | 23.79 Bn |
| 9 | Illinois Tool Works | 75.74 Bn | 72.30 Bn | 1.90 Bn | 7.65 Bn |
| 10 | Cummins | 72.28 Bn | 68.36 Bn | 2.47 Bn | 18.48 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 75.57 Bn |
| Mar 31, 2026 | 70.20 Bn |
| Dec 31, 2025 | 71.09 Bn |
| Sep 30, 2025 | 67.39 Bn |
| Jun 30, 2025 | 66.49 Bn |
| Mar 31, 2025 | 61.99 Bn |
| Dec 31, 2024 | 63.38 Bn |
| Sep 30, 2024 | 62.03 Bn |
| Jun 30, 2024 | 61.39 Bn |
| Mar 31, 2024 | 61.27 Bn |
| Dec 31, 2023 | 63.30 Bn |
| Sep 30, 2023 | 61.44 Bn |
| Jun 30, 2023 | 62.38 Bn |
| Mar 31, 2023 | 60.78 Bn |
| Dec 31, 2022 | 61.45 Bn |
| Sep 30, 2022 | 60.75 Bn |
| Jun 30, 2022 | 60.34 Bn |
| Mar 31, 2022 | 60.17 Bn |
| Dec 31, 2021 | 61.47 Bn |
| Sep 30, 2021 | 59.53 Bn |
Caterpillar Total 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=total-non-current-liabilities&ticker=CAT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "CAT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=total-non-current-liabilities&ticker=CAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();