Cummins (CMI) Total Non-Current Liabilities (2009 - 2026)
Cummins (CMI) posted Total Non-Current Liabilities of $18.48 billion for Q2 2026, up 1.6% from $18.18 billion a year earlier and up 2.9% from the prior quarter.
Cummins (CMI) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Cummins' Total Non-Current Liabilities came in at $555 million, up 1.1% from FY2024.
- Annual Total Non-Current Liabilities has increased for five consecutive years, with a five-year compound annual growth rate of 17.2% (FY2020 to FY2025).
- In prior years, Cummins' Total Non-Current Liabilities was $549 million in FY2024 (+27.1%), $432 million in FY2023 (+8.3%), $399 million in FY2022 (+38.5%) and $288 million in FY2021 (+14.7%).
- The Q2 2026 figure stands as the highest quarterly Total Non-Current Liabilities since Q1 2024.
- On a year-over-year basis, Total Non-Current Liabilities has increased in each of the last three quarters, with growth averaging 4.0% over the last eight quarters.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q3 2022, with growth of 43.3%; the weakest was Q3 2023, with a decline of 7.7%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $17.95 billion (Q1 2026), $555 million (Q4 2025) and $17.4 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 340.33 Bn | 312.03 Bn | 7.76 Bn | 75.57 Bn |
| 2 | Amphenol | 195.04 Bn | 189.62 Bn | 3.55 Bn | 28.16 Bn |
| 3 | Deere | 171.72 Bn | 139.81 Bn | 4.66 Bn | - |
| 4 | Eaton | 152.74 Bn | 149.93 Bn | 2.86 Bn | 23.97 Bn |
| 5 | Parker-Hannifin | 120.82 Bn | 118.95 Bn | 2.25 Bn | 14.72 Bn |
| 6 | Emerson Electric | 91.30 Bn | 84.04 Bn | 2.66 Bn | 18.30 Bn |
| 7 | 3M | 90.37 Bn | 71.82 Bn | 2.78 Bn | 26.86 Bn |
| 8 | Vertiv Holdings | 81.71 Bn | 72.33 Bn | 1.23 Bn | 10.73 Bn |
| 9 | Illinois Tool Works | 79.34 Bn | 75.90 Bn | 1.90 Bn | 7.65 Bn |
| 10 | Cummins | 74.79 Bn | 70.86 Bn | 2.47 Bn | 18.48 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.48 Bn |
| Mar 31, 2026 | 17.95 Bn |
| Dec 31, 2025 | 17.46 Bn |
| Sep 30, 2025 | 17.40 Bn |
| Jun 30, 2025 | 18.18 Bn |
| Mar 31, 2025 | 17.42 Bn |
| Dec 31, 2024 | 17.08 Bn |
| Sep 30, 2024 | 17.55 Bn |
| Jun 30, 2024 | 17.62 Bn |
| Mar 31, 2024 | 18.52 Bn |
| Dec 31, 2023 | 18.67 Bn |
| Sep 30, 2023 | 17.09 Bn |
| Jun 30, 2023 | 17.07 Bn |
| Mar 31, 2023 | 17.53 Bn |
| Dec 31, 2022 | 17.02 Bn |
| Sep 30, 2022 | 17.78 Bn |
| Jun 30, 2022 | 12.83 Bn |
| Mar 31, 2022 | 12.88 Bn |
| Dec 31, 2021 | 11.88 Bn |
| Oct 3, 2021 | 12.22 Bn |
Cummins 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=CMI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "CMI", "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=CMI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();