Caterpillar (CAT) Total Current Liabilities (2009 - 2026)
Caterpillar (CAT) posted Total Current Liabilities of $39.79 billion for Q2 2026, up 13.9% from $34.93 billion a year earlier and up 10.8% from the prior quarter.
Caterpillar (CAT) Total Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Caterpillar's Total Current Liabilities came in at $36.56 billion, up 13.3% from FY2024.
- Annual Total Current Liabilities shows a five-year compound annual growth rate of 7.3% (FY2020 to FY2025).
- In prior years, Caterpillar's Total Current Liabilities was $32.27 billion in FY2024 (-7.1%), $34.73 billion in FY2023 (+10.1%), $31.53 billion in FY2022 (+5.6%) and $29.85 billion in FY2021 (+16.1%).
- The Q2 2026 figure stands as the highest quarterly Total Current Liabilities in data going back to Q2 2009.
- On a year-over-year basis, Total Current Liabilities has increased in each of the last six quarters, with growth averaging 5.5% over the last eight quarters.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was Q2 2023, with growth of 21.9%; the weakest was Q4 2024, with a decline of 7.1%.
- According to Business Quant data, Total Current Liabilities for the three prior quarters was $35.9 billion (Q1 2026), $36.56 billion (Q4 2025) and $35.99 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 39.79 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 9.44 Bn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | - |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 11.91 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 6.10 Bn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 7.24 Bn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 10.77 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 11.38 Bn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | 5.95 Bn |
| 10 | Cummins | 71.32 Bn | 68.45 Bn | 2.47 Bn | 10.67 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 39.79 Bn |
| Mar 31, 2026 | 35.90 Bn |
| Dec 31, 2025 | 36.56 Bn |
| Sep 30, 2025 | 35.99 Bn |
| Jun 30, 2025 | 34.93 Bn |
| Mar 31, 2025 | 32.60 Bn |
| Dec 31, 2024 | 32.27 Bn |
| Sep 30, 2024 | 32.22 Bn |
| Jun 30, 2024 | 33.56 Bn |
| Mar 31, 2024 | 32.37 Bn |
| Dec 31, 2023 | 34.73 Bn |
| Sep 30, 2023 | 33.12 Bn |
| Jun 30, 2023 | 35.31 Bn |
| Mar 31, 2023 | 31.84 Bn |
| Dec 31, 2022 | 31.53 Bn |
| Sep 30, 2022 | 30.20 Bn |
| Jun 30, 2022 | 28.96 Bn |
| Mar 31, 2022 | 29.53 Bn |
| Dec 31, 2021 | 29.85 Bn |
| Sep 30, 2021 | 25.98 Bn |
Caterpillar Total 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-current-liabilities&ticker=CAT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=CAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();