Deere (DE) Total Liabilities (2009 - 2026)
Deere (DE) posted Total Liabilities of $79.61 billion for fiscal Q3 2026 (quarter ended Aug 2, 2026), down 3.7% from $82.64 billion a year earlier and unchanged from the prior quarter.
Deere (DE) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Nov 2, 2025), Deere's Total Liabilities came in at $80.04 billion, down 5.3% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of 5.2% (FY2020 to FY2025).
- In prior fiscal years, Deere's Total Liabilities was $84.48 billion in FY2024 (+2.6%), $82.3 billion in FY2023 (+18.0%), $69.77 billion in FY2022 (+6.2%) and $65.68 billion in FY2021 (+5.7%).
- Quarterly Total Liabilities has run from a low of $61.81 billion in fiscal Q1 2022 to a high of $84.78 billion in fiscal Q3 2024 over five years.
- On a year-over-year basis, Total Liabilities has declined in each of the last six quarters, with an average decline of 1.9% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was fiscal Q3 2023, with growth of 18.5%; the weakest was fiscal Q4 2025, with a decline of 5.3%.
- According to Business Quant data, Total Liabilities for the three prior fiscal quarters was $79.59 billion (Q2 2026), $77.13 billion (Q1 2026) and $80.04 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 351.37 Bn | 323.07 Bn | 7.76 Bn | 83.22 Bn |
| 2 | Amphenol | 209.04 Bn | 203.63 Bn | 3.55 Bn | 29.19 Bn |
| 3 | Deere | 173.76 Bn | 141.85 Bn | 4.66 Bn | 79.61 Bn |
| 4 | Eaton | 165.23 Bn | 162.42 Bn | 2.86 Bn | 35.88 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 15.46 Bn |
| 6 | Emerson Electric | 90.68 Bn | 83.42 Bn | 2.66 Bn | 21.81 Bn |
| 7 | Vertiv Holdings | 90.65 Bn | 81.27 Bn | 1.23 Bn | 11.14 Bn |
| 8 | 3M | 83.69 Bn | 65.09 Bn | 2.68 Bn | 31.92 Bn |
| 9 | Illinois Tool Works | 75.68 Bn | 72.24 Bn | 1.90 Bn | 13.60 Bn |
| 10 | Cummins | 72.28 Bn | 68.36 Bn | 2.47 Bn | 21.72 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 79.61 Bn |
| May 3, 2026 | 79.59 Bn |
| Feb 1, 2026 | 77.13 Bn |
| Nov 2, 2025 | 80.04 Bn |
| Jul 27, 2025 | 82.64 Bn |
| Apr 27, 2025 | 82.01 Bn |
| Jan 26, 2025 | 80.63 Bn |
| Oct 27, 2024 | 84.48 Bn |
| Jul 28, 2024 | 84.78 Bn |
| Apr 28, 2024 | 82.94 Bn |
| Jan 28, 2024 | 79.29 Bn |
| Oct 29, 2023 | 82.30 Bn |
| Jul 30, 2023 | 80.35 Bn |
| Apr 30, 2023 | 75.95 Bn |
| Jan 29, 2023 | 70.28 Bn |
| Oct 30, 2022 | 69.77 Bn |
| Jul 31, 2022 | 67.78 Bn |
| May 1, 2022 | 65.19 Bn |
| Jan 30, 2022 | 61.81 Bn |
| Oct 31, 2021 | 65.68 Bn |
Deere Total 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-liabilities&ticker=DE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "DE", "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-liabilities&ticker=DE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();